Prominent Labels Research Articles

Differential Gene Expression Analysis of Non-Small Cell Lung Cancer Samples to Classify Candidate Genes

Differential gene expression is an analysis of gene data, in which the RNA sequence data after next-generation sequencing are to be visualized for any quantitative changes in the levels of the experimental data set. This work aims to derive the transcript statistics on a gene transcript file with a fold change of genes on a normalized scale, in order to identify quantitative changes in gene expression of the difference between the reference genome and Non-Small Cell Lung Cancer (NSCLC) samples. This insight makes a clinical impact in assessing and characterizing candidate genes. The pipeline comprises tuxedo protocol and programming language R with the standard ballgown package. The resultant data set and the plot displays depict the candidate genes in their respective location which are significant in expressing their changes in NSCLC samples. The samples are compared with prominent gene labels of NSCLC samples. The results explain the differential expression of particular samples across samples from both genders.

Vinyl Ventures: My Fifty Years at Rounder Records

Vinyl Ventures: My Fifty Years at Rounder Records

Detecting tiny objects in aerial images: A normalized Wasserstein distance and a new benchmark

Tiny object detection (TOD) in aerial images is challenging since a tiny object only contains a few pixels. State-of-the-art object detectors do not provide satisfactory results on tiny objects due to the lack of supervision from discriminative features. Our key observation is that the Intersection over Union (IoU) metric and its extensions are very sensitive to the location deviation of the tiny objects, which drastically deteriorates the quality of label assignment when used in anchor-based detectors. To tackle this problem, we propose a new evaluation metric dubbed Normalized Wasserstein Distance (NWD) and a new RanKing-based Assigning (RKA) strategy for tiny object detection. The proposed NWD-RKA strategy can be easily embedded into all kinds of anchor-based detectors to replace the standard IoU threshold-based one, significantly improving label assignment and providing sufficient supervision information for network training. Tested on four datasets, NWD-RKA can consistently improve tiny object detection performance by a large margin. Besides, observing prominent noisy labels in the Tiny Object Detection in Aerial Images (AI-TOD) dataset, we are motivated to meticulously relabel it and release AI-TOD-v2 and its corresponding benchmark. In AI-TOD-v2, the missing annotation and location error problems are considerably mitigated, facilitating more reliable training and validation processes. Embedding NWD-RKA into DetectoRS, the detection performance achieves 4.3 AP points improvement over state-of-the-art competitors on AI-TOD-v2. Datasets, codes, and more visualizations are available at: https://chasel-tsui.github.io/AI-TOD-v2/.

Cannabis edibles packaging: Communicative objects in a growing market.

Cannabis edibles were legalized for recreational use across Canada in October 2019. The Canadian Cannabis Act requires legally produced edibles to be sold in plain single-color packages with limited branded elements and prominent health warning labels, serving size and nutritional information, and product ingredients including amounts of cannabis compounds. Little research, however, assesses what consumers think of standardized packaging, and how product packaging influences perceptions of cannabis edibles. Eight focus groups with young adults (ages 18-24; n=57) were conducted in November 2018. Participants were recruited from a Canadian university, and asked to assess sample images of cannabis packaging approved by Health Canada. They then discussed the information they would like to see on packages. Focus group discussions were transcribed and analyzed using a descriptive, qualitative approach following methods of process evaluation and inductive coding. Discussions generally pertained to four main themes: dosage and consumption recommendations; food and nutritional information; concerns for children; and health warning labels. Participants suggested improvements for cannabis packaging, including standardized THC units, non-numerical consumption instructions, and unit-dose packaging. Instead of recommending packaging that deters consumption, participants requested packaging features that promote safe consumption by adults while also protecting children. Findings reveal how packages function as communicative objects that convey meanings about safety and risk, yet these meanings may not resonate with Canadian young adults' perceptions of cannabis as relatively safe. While the packaging regulated for use in Canada may be assumed, due to its plain, standardized format, to communicate "little", we highlight tensions in the meanings of such packaging to young adults-especially around competing ideas related to safety and risk.

Nudge versus sludge in gambling warning labels: How the effectiveness of a consumer protection measure can be undermined

Legal gambling is a large industry in many countries. One way some governments try to protect people from losing more than they can afford is by requiring warning labels on gambling machines and their online equivalents. Prominent labels that make the odds of winning clear serve as nudges: They promote a beneficial behavior (such as deciding that the risk of losing money is too high) without interfering with choice (such as by restricting the availability of gambling). However, if gambling operators use labels that are difficult to understand, find, or read, those messages instead hamper decision-making and thus become sludge. In this article, we report on new research into whether gambling labels in the world's largest regulated online gambling market (the United Kingdom) are more consistent with nudge or sludge. We found that gambling operators overwhelmingly used sludge strategies when posting required gambling warning labels: For instance, they framed the message using a confusing format, applied a small font size to the text, and placed the warning on obscure help screens. We therefore propose that public policy officials throughout the world establish requirements for the wording and presentation of gambling warning labels to ensure that gamblers are well-informed about the odds they face.

Categorizing auditory objects of perceived sounds in the built environment

This exploratory study focuses on a cognitive approach to categorize complex auditory scenes in the built environment, while prior studies have concentrated on outdoor acoustic environments. Six experts and 30 non-experts performed a free chip sorting task to assess 70 binaural recordings taken from indoor spaces. Healthcare, working, cultural, educational, leisure, worship, and transportation spaces (e.g., bus, train, metro stations, and airports) were chosen as public spaces. The participants were asked to classify the auditory objects into sound categories based on the descriptive labels provided by the authors to identify the sound sources. The findings, obtained through hierarchical agglomerative clustering and non-metric multidimensional scaling (MDS), show that there are three prominent category labels regarding perceived sound in the indoor acoustic environment: (1) intelligible and unintelligible speech; (2) periodic and transient sounds; and (3) stationary and non-stationary sounds. Human-generated sounds such as conversation, laughter, footsteps, and coughing vary over time according to the context of the built environment. Moreover, technology-related sounds, such as mechanical and electronic ones, have a deterministic and random nature that differ according to the function of the spaces.

Data Mining in Employee Healthcare Detection Using Intelligence Techniques for Industry Development.

Background Even in today's environment, when there is a plethora of information accessible, it may be difficult to make appropriate choices for one's well-being. Data mining, machine learning, and computational statistics are among the most popular arenas of training today, and they are all aimed at secondary empowered person in making good decisions that will maximize the outcome of whatever working area they are involved with. Because the degree of rise in the number of patient roles is directly related to the rate of people growth and lifestyle variations, the healthcare sector has a significant need for data processing services. When it comes to cancer, the prognosis is an expression that relates to the possibility of the patient surviving in general, but it may also be used to describe the severity of the sickness as it will present itself in the patient's future timeline. Methodology. The proposed technique consists of three stages: input data acquisition, preprocessing, and classification. Data acquisition consists of input raw data which is followed by preprocessing to eliminate the missed data and the classification is carried out using ensemble classifier to analyze the stages of cancer. This study explored the combined influence of the prominent labels in conjunction with one another utilizing the multilabel classifier approach, which is successful. Finally, an ensemble classifier model has been constructed and experimentally validated to increase the accuracy of the classifier model, which has been previously shown. The entire performance of the recommended and tested models demonstrates a steady development of 2% to 6% over the baseline presentation on the baseline performance. Results Providing a good contribution to the general health welfare of noncommercial potential workers in the healthcare sector is an opportunity provided by this recommended job outcome. It is anticipated that alternative solutions to these constraints, as well as automation of the whole process flow of all five phases, will be the key focus of the work to be carried out shortly. Predicting health status of employee in industry or information trends is made easier by these data patterns. The proposed classifier achieves the accuracy rate of 93.265%.

Tracking patients healthcare experiences during the COVID-19 outbreak: Topic modeling and sentiment analysis of doctor reviews

Emerging voices of patients in the form of opinions and expectations about the quality of care can improve healthcare service quality. A large volume of patients’ opinions as online doctor reviews (ODRs) are available online to access, analyze, and improve patients’ perceptions. This paper aims to explore COVID-19-related conversations, complaints, and sentiments using ODRs posted by users of the physician rating website. We analyzed 96,234 ODRs of 5,621 physicians from a prominent health rating website in the United Kingdom (Iwantgreatcare.org) in threetime slices (i.e., from February 01 to October 31, 2020). We employed machine learning approach, dynamic topic modeling, to identify prominent bigrams, salient topics and labels, sentiments embedded in reviews and topics, and patient-perceived root cause and strengths, weaknesses, opportunities, and threats (SWOT) analyses to examine SWOT for healthcare organizations. This method finds a total of 30 latent topics with 10 topics across each time slice. The current study identified new discussion topics about COVID-19 occurring from time slice 1 to time slice 3, such as news about the COVID-19 pandemic, violence against the lockdown, quarantine process and quarantine centers at different locations, and vaccine development/treatment to stop virus spread. Sentiment analysis reveals that fear for novel pathogen prevails across all topics. Based on the SWOT analysis, our findings provide a clue for doctors, hospitals, and government officials to enhance patients’ satisfaction and minimize dissatisfaction by satisfying their needs and improve the quality of care during the COVID-19 crisis.

Between national and local: Identity representations of post-colonial Hong Kong in a local English newspaper

This study gives a corpus-assisted discourse study of the representations of Hong Kong identity with identity labels in a Hong Kong English newspaper (i.e., the South China Morning Post) in the last two decades. It not only identifies the various labels used for the concerned parties, but also examines their varied use in the changing social political context and the ideologies behind the choice of some prominent identity labels. The finding suggests that the newspaper prefers to choose labels that foreground the local identity of Hong Kong rather than its national identification. This trend has become particularly evident since 2003 and the constructions of Hong Kong identity have become increasingly negative in the last few years.

MoNa \u2013 A Cost-Efficient, Portable System for the Nanoinjection of Living Cells

Injection techniques to deliver macromolecules to cells such as microinjection have been around for decades with applications ranging from probing whole organisms to the injection of fluorescent molecules into single cells. A similar technique that has raised recent interest is nanoinjection. The pipettes used here are much smaller and allow for the precise deposition of molecules into single cells via electrokinetics with minimal influence on the cells’ health. Unfortunately, the equipment utilized for nanoinjection originates from scanning ion conductance microscopy (SICM) and is therefore expensive and not portable, but usually fixed to a specific microscope setup. The level of precision that these systems achieve is much higher than what is needed for the more robust nanoinjection process. We present Mobile Nanoinjection (MoNa), a portable, cost-efficient and easy to build system for the injection of single cells. Sacrificing unnecessary sub-nanometer accuracy and low ion current noise levels, we were able to inject single living cells with high accuracy. We determined the noise of the MoNa system and investigated the injection conditions for 16 prominent fluorescent labels and fluorophores. Further, we performed proof of concepts by injection of ATTO655-Phalloidin and MitoTracker Deep Red to living human osteosarcoma (U2OS) cells and of living adult human inferior turbinate stem cells (ITSC’s) following neuronal differentiation with the MoNa system. We achieved significant cost reductions of the nanoinjection technology and gained full portability and compatibility to most optical microscopes.

Adult code cart redesign: Clinical implications.

Adult code cart redesign: Clinical implications.

The Association between Warning Label Requirements and Cigarette Smoking Prevalence by Education-Findings from the Global Adult Tobacco Survey (GATS).

Introduction: The Guidelines for the implementation of Article 11 of the World Health Organization (WHO) Framework Convention on Tobacco Control (FCTC) require that cigarette health warning labels should include pictures and take up 50% or more of the principal display area. This study examined how the association between large pictorial warnings, those covering ≥50% of the front and back of the package, and the prevalence of cigarette smoking varies by educational attainment. Methods: We pooled individual-level tobacco use data from the Global Adult Tobacco Survey (GATS) in 18 countries between 2008 and 2013 and linked them with warning label requirements during the same period from the MPOWER database and reports regarding warnings. The respondents’ self-reported exposure to warnings was examined according to education. Logistic regressions were further employed to analyze education-specific associations between large pictorial warnings and smoking prevalence, and whether such association differed by education was examined using an interaction test. Results: At the time of the survey, eight out of 18 countries had imposed graphic warning labels that covered ≥50% of the package. These warnings were associated with a 10.0% (OR = 0.89; 95% CI: 0.81, 0.97; p ≤ 0.01) lower cigarette smoking prevalence among adults with less than a secondary education or no formal education, but not among respondents with at least a secondary education. Less educated respondents were also less likely to be exposed to warnings in all 18 countries. The association between strong warnings and lower smoking prevalence among less educated respondents could be greater if their exposure to warnings increases. Conclusions: Prominent pictorial warning labels can potentially reduce health disparities resulting from smoking across different education levels.

Public health benefits from pictorial health warnings on US cigarette packs: a SimSmoke simulation

IntroductionWhile many countries have adopted prominent pictorial warning labels (PWLs) for cigarette packs, the USA still requires only small, text-only labels located on one side of the cigarette pack that...

The role of policy labels, keywords and framing in transitioning waste policy

The last decade has seen a new wave of ambitious policies in order to address the mounting ecological damage caused by high levels of consumerism and the depletion of resources to manufacture short life-cycle products. In this paper ‘Zero Waste’ and ‘Sustainable Materials Management’ are examined as prominent labels of an evolving waste policy discourse towards waste prevention and reduction and material cycles. Using discourse analysis key documents are comparatively assessed, presenting the origins of these two concepts and how they entered the waste policy domain. The different framing tactics and governance models are then presented. The findings demonstrate that the different discourse paradigms around the concept of ‘waste’ and ‘materials’, influences what policy initiatives, measurement tools and outcomes are pursued. Although Zero Waste and Sustainable Materials Management are gaining popularity as indicators of shifting waste policy towards Sustainable Production and Consumption Policy, particularly with increasing discussion and application of Circular Economy governance models in Europe and China, a distinction still exists between the conceptualisation and implementation within and across the two concepts. It is in this transition towards a Circular Economy that it is valuable to review the role of policy labels, keywords and framing context in waste policy and the ability of enhanced waste management to assist in the development of more sustainable and environmentally acceptable economic and social behaviour models.

How to Display Group Information on Node-Link Diagrams: An Evaluation.

We present the results of evaluating four techniques for displaying group or cluster information overlaid on node-link diagrams: node coloring, GMap, BubbleSets, and LineSets. The contributions of the paper are three fold. First, we present quantitative results and statistical analyses of data from an online study in which approximately 800 subjects performed 10 types of group and network tasks in the four evaluated visualizations. Specifically, we show that BubbleSets is the best alternative for tasks involving group membership assessment; that visually encoding group information over basic node-link diagrams incurs an accuracy penalty of about 25 percent in solving network tasks; and that GMap's use of prominent group labels improves memorability. We also show that GMap's visual metaphor can be slightly altered to outperform BubbleSets in group membership assessment. Second, we discuss visual characteristics that can explain the observed quantitative differences in the four visualizations and suggest design recommendations. This discussion is supported by a small scale eye-tracking study and previous results from the visualization literature. Third, we present an easily extensible user study methodology.

The economic value to smokers of graphic warning labels on cigarettes: Evidence from combining market and experimental auction data

Many countries now require prominent pictorial health warning labels (HWLs) on the front and back of cigarette packages. In the US, pictorial HWLs have been adopted, but tobacco industry litigation has delayed their implementation. This intervention could have value to smokers, if it increases their information and changes their smoking behavior. In this paper we estimate the value of two different health warning labels for cigarette packages relative to the current US labeling policy. Our methodology does not depend on the personal values of policy makers or other individuals, as the value of information estimates we derive are based solely on smokers’ own consumption choices, not any public health or other effects. We introduce an approach to valuing information with a surplus measure that couples willingness-to-pay from non-hypothetical experimental auctions with time-series revealed preference demand estimates. We find that a pictorial HWL has a large value to smokers, and a higher value than a label that only contains text, insofar as changing purchase behavior.

Cancer Prognosis Prediction Using Balanced Stratified Sampling

High accuracy in cancer prediction is important to improve the quality of the treatment and to improve the rate of survivability of patients. As the data volume is increasing rapidly in the healthcare research, the analytical challenge exists in double. The use of effective sampling technique in classification algorithms always yields good prediction accuracy. The SEER public use cancer database provides various prominent class labels for prognosis prediction. The main objective of this paper is to find the effect of sampling techniques in classifying the prognosis variable and propose an ideal sampling method based on the outcome of the experimentation. In the first phase of this work the traditional random sampling and stratified sampling techniques have been used. At the next level the balanced stratified sampling with variations as per the choice of the prognosis class labels have been tested. Much of the initial time has been focused on performing the pre_processing of the SEER data set. The classification model for experimentation has been built using the breast cancer, respiratory cancer and mixed cancer data sets with three traditional classifiers namely Decision Tree, Naive Bayes and K-Nearest Neighbor. The three prognosis factors survival, stage and metastasis have been used as class labels for experimental comparisons. The results shows a steady increase in the prediction accuracy of balanced stratified model as the sample size increases, but the traditional approach fluctuates before the optimum results.

Consumer response to food labels in an emerging market: the case of Romania

AbstractThis study investigates consumer response to food labels in an emerging market. More specifically, it measures the levels of awareness, objective and perceived understanding, perceived usefulness and perceived trustworthiness of the most prominent food labels found in the Romanian market. An online survey was conducted with a convenience sample of 428 respondents (45.6% males of an average age of 30.6 years). Results revealed that for most respondents, awareness levels towards food labels are generally low, except for the Guideline Daily Amount (GDA) and the organic food labels. Objective understanding towards food labels was relatively high, especially towards those food labels that included a clear text element. Perceived understanding, perceived usefulness and perceived trustworthiness were found to be consistently high with regard to the GDA and the national organic food labels, while the European organic label scored lower. Finally, response to food labels was found to differ between aware and unaware respondents.

Damage Valuation in Music Copyright

Written by a leading expert in copyright valuation, the paper reviews critical considerations for estimating damages in litigation regarding musical compositions and sound recordings. These valuations can also be related to matters involving breach of contract, tortuous interference, personal and commercial injury, and wrongful death. The author has used the techniques in a number of litigation matters involving prominent record labels, music publishers, performers, and songwriters.

Unfinished Business in Tobacco Control

A HALF-CENTURY AFTER THE FEDERAL GOVERNMENT recognized the dangers of tobacco, substantial progress has been made in controlling its use in the United States. The prevalence of smoking has been halved from its peak and the majority of Americans work and live in smoke-free environments. Progress has also been made elsewhere, but in many lowand middleincome countries, prevalence of tobacco use continues to increase. Despite progress, much is unfinished in tobacco control worldwide. Now is a notable moment in tobacco control. The findings on disease causation by active and passive smoking are unassailable, and substantial evidence and experience define best practices for tobacco control. In the United States, the majority of states have some form of smoke-free legislation, and for the first time, Congress has given the US Food and Drug Administration (FDA) authority to regulate tobacco. Most countries have ratified the World Health Organization’s (WHO’s) Framework Convention on Tobacco Control (FCTC), a global public health treaty that obligates ratifying nations to implement comprehensive tobacco control. Moreover, funding for global tobacco control has increased significantly with a $500 million commitment from the Bloomberg Philanthropies and the Bill and Melinda Gates Foundation. Some unfinished business in the United States requires rapid completion. Taxes on cigarettes enhance revenues and benefit public health by increasing cessation and reducing initiation and should be raised further. Despite the recent increase in the federal tax, cigarettes in the United States remain among the most affordable in the world. At least the amount of tax revenues recommended by the Centers for Disease Control and Prevention should be used for tobacco control, and states should not reallocate to other initiatives funds received under the Master Settlement Agreement and originally dedicated to tobacco control. Smokefree public place regulations also need to be extended. The 39 states not mandating completely smoke-free restaurants and bars need to pass comprehensive legislation; there are now abundant models and ample evidence that revenues do not diminish. Smoke-free regulations cannot cover homes, a principal place of exposure for children, and vigorous efforts are needed to make homes smoke-free, including media campaigns and engagement of health care professionals to work with patients and families on this issue. Removing glamorous images of smoking in movies and on television has potential benefits globally, especially for youth and young adults. Smoking cessation is critical for reducing the tragic and predictable burden of disease caused by smoking. Despite decades of research and experience, long-term success rates using available smoking cessation therapies remain around 10%. While available therapies are cost-effective and benefit public health, they remain mostly uncovered by insurance, are as costly as cigarettes, and are not sold accessibly or in convenient and affordably sized units. Enhanced financial support for smoking cessation is needed, along with its full integration into the health care system and a continued search for better cessation methods. One transformative change in domestic business is the Family Smoking Prevention and Tobacco Control Act, federal legislation that was recently signed into law giving the FDA authority to regulate the tobacco industry and its products. The act’s provisions include strengthening advertising restrictions, requiring new and more prominent warning labels, compelling companies to disclose all ingredients in tobacco products, and authorizing the FDA to restrict harmful additives and monitor and reduce nicotine yields. There are potential complexities involved in implementing the act, including developing protocols for assessing the toxicity and addictive potential of tobacco products. Markers of tobacco toxicity can be measured in blood and other biological materials, and WHO has proposed a suite of markers of exposure as well as regulation of levels of tobaccospecific nitrosamines. However, the selected markers, although representative of toxins in tobacco smoke, lack prospective validation for predicting disease. While the mechanisms by which tobacco smoking causes disease have been extensively studied, the resulting evidence is incomplete as to how overall disease risks depend on specific components of tobacco or tobacco smoke. The FDA will be chal-