scholarly journals Discovering access holes in disaster rubble with functional and photometric attributes

2021 ◽  
Author(s):  
Christopher Kong
Keyword(s):  
Recent Work ◽  
Real World ◽  
Empirical Evaluation ◽  
First Responders ◽  
Limited Resources ◽  
Training Facility ◽  
Search Operation ◽  
Using Data ◽  
Disaster Training

The collapse of buildings often result in human victims becoming trapped within rubble. This environment is dangerous for emergency first responders tasked with locating and extricating victims. Recent work in scene mapping using photometric colour and metric depth (RGB-D) data suggest the possibility of automatically identifying potential access holes into rubble interior. This capability would improve search operation by directing limited resources to be concentrated on areas where access holes might exist. This thesis presents an approach to automatically identify access holes in rubble. The investigation begins by defining access holes in terms of their functional utility, that allow for their algorithmic identification. From this definition, a set of hole-related features extracted from RGB-D imagery are proposed for detection. Experiments were conducted using data collected over a real-world disaster training facility. Empirical evaluation indicates the efficacy of the proposed system for successfully identifying potential access holes in disaster rubble scenes.

scholarly journals Discovering access holes in disaster rubble with functional and photometric attributes

2021 ◽  
Author(s):  
Christopher Kong
Keyword(s):  
Recent Work ◽  
Real World ◽  
Empirical Evaluation ◽  
First Responders ◽  
Limited Resources ◽  
Training Facility ◽  
Search Operation ◽  
Using Data ◽  
Disaster Training

The collapse of buildings often result in human victims becoming trapped within rubble. This environment is dangerous for emergency first responders tasked with locating and extricating victims. Recent work in scene mapping using photometric colour and metric depth (RGB-D) data suggest the possibility of automatically identifying potential access holes into rubble interior. This capability would improve search operation by directing limited resources to be concentrated on areas where access holes might exist. This thesis presents an approach to automatically identify access holes in rubble. The investigation begins by defining access holes in terms of their functional utility, that allow for their algorithmic identification. From this definition, a set of hole-related features extracted from RGB-D imagery are proposed for detection. Experiments were conducted using data collected over a real-world disaster training facility. Empirical evaluation indicates the efficacy of the proposed system for successfully identifying potential access holes in disaster rubble scenes.

scholarly journals Hidden altruism in a real-world setting

2014 ◽  
Vol 10 (1) ◽  
pp. 20130884 ◽  
Author(s):  
N. J. Raihani
Keyword(s):  
Recent Work ◽  
Real World ◽  
Opposite Effect ◽  
Empirical Models ◽  
The Other ◽  
Cooperative Behaviour ◽  
Real World Setting ◽  
Interaction Partners ◽  
Group Members ◽  
Using Data

Concerns for reputation can promote cooperative behaviour. Individuals that behave cooperatively stand to benefit if they gain in influence, status or are more likely to be chosen as interaction partners by others. Most theoretical and empirical models of cooperation predict that image score will increase with cooperative contributions. Individuals are therefore expected to make higher contributions when observed by others and should opt to make contributions publicly rather than privately, particularly when contributions are higher than average. Here, however, I find the opposite effect. Using data from an online fundraising website, I show that donors are more likely to opt for anonymity when making extremely low and extremely high donations. Mid-range donations, on the other hand, are typically publicized. Recent work has shown that extremely generous individuals may be ostracized or punished by group members. The data presented here suggest that individuals may hide high donations to avoid these repercussions.

scholarly journals Non Stationary Multi-Armed Bandit: Empirical Evaluation of a New Concept Drift-Aware Algorithm

Entropy ◽  
2021 ◽  
Vol 23 (3) ◽  
pp. 380
Author(s):  
Emanuele Cavenaghi ◽  
Gabriele Sottocornola ◽  
Fabio Stella ◽  
Markus Zanker
Keyword(s):  
Real World ◽  
Concept Drift ◽  
Empirical Evaluation ◽  
Sliding Window ◽  
Discount Factor ◽  
Data Streaming ◽  
Sources Of Information ◽  
Sequential Decision ◽  
Time Step ◽  
Thompson Sampling

The Multi-Armed Bandit (MAB) problem has been extensively studied in order to address real-world challenges related to sequential decision making. In this setting, an agent selects the best action to be performed at time-step t, based on the past rewards received by the environment. This formulation implicitly assumes that the expected payoff for each action is kept stationary by the environment through time. Nevertheless, in many real-world applications this assumption does not hold and the agent has to face a non-stationary environment, that is, with a changing reward distribution. Thus, we present a new MAB algorithm, named f-Discounted-Sliding-Window Thompson Sampling (f-dsw TS), for non-stationary environments, that is, when the data streaming is affected by concept drift. The f-dsw TS algorithm is based on Thompson Sampling (TS) and exploits a discount factor on the reward history and an arm-related sliding window to contrast concept drift in non-stationary environments. We investigate how to combine these two sources of information, namely the discount factor and the sliding window, by means of an aggregation function f(.). In particular, we proposed a pessimistic (f=min), an optimistic (f=max), as well as an averaged (f=mean) version of the f-dsw TS algorithm. A rich set of numerical experiments is performed to evaluate the f-dsw TS algorithm compared to both stationary and non-stationary state-of-the-art TS baselines. We exploited synthetic environments (both randomly-generated and controlled) to test the MAB algorithms under different types of drift, that is, sudden/abrupt, incremental, gradual and increasing/decreasing drift. Furthermore, we adapt four real-world active learning tasks to our framework—a prediction task on crimes in the city of Baltimore, a classification task on insects species, a recommendation task on local web-news, and a time-series analysis on microbial organisms in the tropical air ecosystem. The f-dsw TS approach emerges as the best performing MAB algorithm. At least one of the versions of f-dsw TS performs better than the baselines in synthetic environments, proving the robustness of f-dsw TS under different concept drift types. Moreover, the pessimistic version (f=min) results as the most effective in all real-world tasks.

scholarly journals Long-term effectiveness in patients previously treated with cladribine tablets: a real-world analysis of the Italian multiple sclerosis registry (CLARINET-MS)

2020 ◽  
Vol 13 ◽  
pp. 175628642092268 ◽  
Author(s):  
Francesco Patti ◽  
Andrea Visconti ◽  
Antonio Capacchione ◽  
Sanjeev Roy ◽  
Maria Trojano ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Real World ◽  
Event Analysis ◽  
Treatment Change ◽  
Real World Data ◽  
Indirect Measure ◽  
Disease Modifying Drugs ◽  
Disease Modifying ◽  
Using Data

Background: The CLARINET-MS study assessed the long-term effectiveness of cladribine tablets by following patients with multiple sclerosis (MS) in Italy, using data from the Italian MS Registry. Methods: Real-world data (RWD) from Italian MS patients who participated in cladribine tablets randomised clinical trials (RCTs; CLARITY, CLARITY Extension, ONWARD or ORACLE-MS) across 17 MS centres were obtained from the Italian MS Registry. RWD were collected during a set observation period, spanning from the last dose of cladribine tablets during the RCT (defined as baseline) to the last visit date in the registry, treatment switch to other disease-modifying drugs, date of last Expanded Disability Status Scale recording or date of the last relapse (whichever occurred last). Time-to-event analysis was completed using the Kaplan–Meier (KM) method. Median duration and associated 95% confidence intervals (CI) were estimated from the model. Results: Time span under observation in the Italian MS Registry was 1–137 (median 80.3) months. In the total Italian patient population ( n = 80), the KM estimates for the probability of being relapse-free at 12, 36 and 60 months after the last dose of cladribine tablets were 84.8%, 66.2% and 57.2%, respectively. The corresponding probability of being progression-free at 60 months after the last dose was 63.7%. The KM estimate for the probability of not initiating another disease-modifying treatment at 60 months after the last dose of cladribine tablets was 28.1%, and the median time-to-treatment change was 32.1 (95% CI 15.5–39.5) months. Conclusion: CLARINET-MS provides an indirect measure of the long-term effectiveness of cladribine tablets. Over half of MS patients analysed did not relapse or experience disability progression during 60 months of follow-up from the last dose, suggesting that cladribine tablets remain effective in years 3 and 4 after short courses at the beginning of years 1 and 2.

scholarly journals Transforming Cultural Ideas of Aging and Disability to Improve Policy and Practice

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 645-645
Author(s):  
Anne Ordway
Keyword(s):  
Older Adults ◽  
Health Care ◽  
Recent Work ◽  
Interest Group ◽  
Quality Of Health Care ◽  
Real World ◽  
People With Disabilities ◽  
Policy And Practice ◽  
Full Participation

Abstract Aging and disability are normative processes that extend across the lifespan. However, ageism and ableism are incorporated into many of our practices, programs, and policies—devaluing the lives of older adults and people aging with disabilities and ultimately preventing their full participation in society. Ageism and ableism are closely connected. For example, both systems identify impairment as an individual and social liability. As recent studies have demonstrated, this has real world implications for the quantity and quality of health care requested, delivered, and received by both older adults and people with disabilities. In this session, we discuss the connections between these two forms of oppression and present recent work by researchers in both fields and the FrameWorks Institute that shows how to transform our cultural ideas of aging and disability and development more inclusive policies and services. Part of a symposium sponsored by the Lifelong Disabilities Interest Group.

scholarly journals The Value of Real-World Data in Understanding Prostate Cancer Risk and Improving Clinical Care: Examples from Swedish Registries

Cancers ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 875
Author(s):  
Kerri Beckmann ◽  
Hans Garmo ◽  
Ingela Franck Lissbrant ◽  
Pär Stattin
Keyword(s):  
Prostate Cancer ◽  
Real World ◽  
Clinical Care ◽  
Prostate Cancer Risk ◽  
Real World Data ◽  
Level Of Evidence ◽  
World Data ◽  
Cancer Data ◽  
Using Data ◽  
Randomised Controlled

Real-world data (RWD), that is, data from sources other than controlled clinical trials, play an increasingly important role in medical research. The development of quality clinical registers, increasing access to administrative data sources, growing computing power and data linkage capacities have contributed to greater availability of RWD. Evidence derived from RWD increases our understanding of prostate cancer (PCa) aetiology, natural history and effective management. While randomised controlled trials offer the best level of evidence for establishing the efficacy of medical interventions and making causal inferences, studies using RWD offer complementary evidence about the effectiveness, long-term outcomes and safety of interventions in real-world settings. RWD provide the only means of addressing questions about risk factors and exposures that cannot be “controlled”, or when assessing rare outcomes. This review provides examples of the value of RWD for generating evidence about PCa, focusing on studies using data from a quality clinical register, namely the National Prostate Cancer Register (NPCR) Sweden, with longitudinal data on advanced PCa in Patient-overview Prostate Cancer (PPC) and data linkages to other sources in Prostate Cancer data Base Sweden (PCBaSe).

scholarly journals Camp stability predicts patterns of hunter–gatherer cooperation

2016 ◽  
Vol 3 (7) ◽  
pp. 160131 ◽  
Author(s):  
Daniel Smith ◽  
Mark Dyble ◽  
James Thompson ◽  
Katie Major ◽  
Abigail E. Page ◽  
...  
Keyword(s):  
Real World ◽  
Ecological Context ◽  
Hunter Gatherers ◽  
Ecological Conditions ◽  
Resource Transfers ◽  
Experimental Games ◽  
Using Data ◽  
Over Time ◽  
Do So

Humans regularly cooperate with non-kin, which has been theorized to require reciprocity between repeatedly interacting and trusting individuals. However, the role of repeated interactions has not previously been demonstrated in explaining real-world patterns of hunter–gatherer cooperation. Here we explore cooperation among the Agta, a population of Filipino hunter–gatherers, using data from both actual resource transfers and two experimental games across multiple camps. Patterns of cooperation vary greatly between camps and depend on socio-ecological context. Stable camps (with fewer changes in membership over time) were associated with greater reciprocal sharing, indicating that an increased likelihood of future interactions facilitates reciprocity. This is the first study reporting an association between reciprocal cooperation and hunter–gatherer band stability. Under conditions of low camp stability individuals still acquire resources from others, but do so via demand sharing (taking from others), rather than based on reciprocal considerations. Hunter–gatherer cooperation may either be characterized as reciprocity or demand sharing depending on socio-ecological conditions.

Trends in end-of- life (EOL) systemic oncologic treatment in contemporary clinical practice: Insights from real-world data.

2021 ◽  
Vol 39 (28_suppl) ◽  
pp. 253-253
Author(s):  
Maureen Canavan ◽  
Xiaoliang Wang ◽  
Mustafa Ascha ◽  
Rebecca A. Miksad ◽  
Timothy N Showalter ◽  
...  
Keyword(s):  
Cancer Treatment ◽  
End Of Life ◽  
Real World ◽  
Cost Of Care ◽  
Real World Data ◽  
Logistic Regression Models ◽  
Oncolytic Therapy ◽  
Immune Therapies ◽  
Using Data ◽  
Over Time

253 Background: Among patients with cancer, receipt of systemic oncolytic therapy near the end-of-life (EOL) does not improve outcomes and worsens patient and caregiver experience. Accordingly, the ASCO/NQF measure, Proportion Receiving Chemotherapy in the Last 14 Days of Life, was published in 2012. Over the last decade there has been exponential growth in high cost targeted and immune therapies which may be perceived as less toxic than traditional chemotherapy. In this study, we identified rates and types of EOL systemic therapy in today’s real-world practice; these can serve as benchmarks for cancer care organizations to drive improvement efforts. Methods: Using data from the nationwide Flatiron Health electronic health record (EHR)-derived de-identified database we included patients who died during 2015 through 2019, were diagnosed after 2011, and who had documented cancer treatment. We identified the use of aggressive EOL systemic treatment (including, chemotherapy, immunotherapy, and combinations thereof) at both 30 days and 14 days prior to death. We estimated standardized EOL rates using mixed-level logistic regression models adjusting for patient and practice-level factors. Year-specific adjusted rates were estimated in annualized stratified analysis. Results: We included 57,127 patients, 38% of whom had documentation of having received any type of systemic cancer treatment within 30 days of death (SD: 5%; range: 25% - 56%), and 17% within 14 days of death (SD: 3%; range: 10% - 30%). Chemotherapy alone was the most common EOL treatment received (18% at 30 days, 8% at 14 days), followed by immunotherapy (± other treatment) (11% at 30 days, 4% at 14 days). Overall rates of EOL treatment did not change over the study period: treatment within 30 days (39% in 2015 to 37% in 2019) and within 14 days (17% in 2015 to 17% in 2019) of death. However, the rates of chemotherapy alone within 30 days of death decreased from 24% to 14%, and within 14 days, from 10% to 6% during the study period. In comparison, rates for immunotherapy with chemotherapy (0%-6% for 30 days, 0% -2% for 14 days), and immunotherapy alone or with other treatment types (4%-13% for 30 days, 1%-4% for 14 days) increased over time for both 30 and 14 days. Conclusions: End of life systemic cancer treatment rates have not substantively changed over time despite national efforts and expert guidance. While rates of traditional chemotherapy have decreased, rates of costly immunotherapy and targeted therapy have increased, which has been associated with higher total cost of care and overall healthcare utilization. Future work should examine the drivers of end-of-life care in the era of immune-oncology.

scholarly journals Risk of Liver Injury Associated with Intravenous Lipid Emulsions: A Prescription Sequence Symmetry Analysis

2021 ◽  
Vol 12 ◽  
Author(s):  
Xiao-xiao Li ◽  
Yin-chu Cheng ◽  
Suo-di Zhai ◽  
Peng Yao ◽  
Si-yan Zhan ◽  
...  
Keyword(s):  
Liver Injury ◽  
Real World ◽  
Time Windows ◽  
Strong Association ◽  
Female Gender ◽  
Symmetry Analysis ◽  
Lipid Emulsions ◽  
Real World Setting ◽  
Large Populations ◽  
Using Data

Aims: To determine the risk of liver injury associated with the use of different intravenous lipid emulsions (LEs) in large populations in a real-world setting in China.Methods: A prescription sequence symmetry analysis was performed using data from 2015 Chinese Basic Health Insurance for Urban Employees. Patients newly prescribed both intravenous LEs and hepatic protectors within time windows of 7, 14, 28, 42, and 60 days of each other were included. The washout period was set to one month according to the waiting-time distribution. After adjusting prescribing time trends, we quantify the deviation from symmetry of patients initiating LEs first and those initiating hepatic protectors first, by calculating adjusted sequence ratios (ASRs) and relevant 95% confidence intervals. Analyses were further stratified by age, gender, and different generations of LEs developed.Results: In total, 416, 997, 1,697, 2,072, and 2,342 patients filled their first prescriptions with both drugs within 7, 14, 28, 42, and 60 days, respectively. Significantly increased risks of liver injury were found across all time windows, and the strongest effect was observed in the first 2 weeks [ASR 6.97 (5.77–8.42) ∼ 7.87 (6.04–10.61)] in overall patients. In subgroup analyses, female gender, age more than 60 years, and soybean oil-based and alternative-LEs showed higher ASRs in almost all time windows. Specially, a lower risk for liver injury was observed in the first 14 days following FO-LEs administration (ASR, 3.42; 95% CI, 0.81–14.47), but the risk started to rise in longer time windows.Conclusion: A strong association was found between LEs use and liver injury through prescription sequence symmetry analysis in a real-world setting, which aligns with trial evidence and clinical experience. Differences revealed in the risks of liver injury among various LEs need further evaluation.

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