Miracle-dz/UniFAR-FTUs huggingface dataset:
The Daily Show ’s Climate Change Content: Two Decades of Late-Night Science Communication

Late-night shows provide important venues for climate change communication, and studies have demonstrated their ability to influence viewer attitudes. This longitudinal study examines climate content featured on one of America’s most popular late-night shows, The Daily Show , from 2000 to 2021 (including Jon Stewart’s and Trevor Noah’s tenures as hosts). The quantitative analysis demonstrates that climate content increased significantly in this period, and the qualitative analysis found that the show used framing to define problems and identify responsible political actors. Herein, the thematic emphasis is on Republican presidents Bush and Trump’s climate skepticism, specifically their supporters, opponents, and environmental deregulation.
Using Deep Learning to integrate paleoclimate and global biogeochemistry over Phanerozoic time

Databases of 3D paleoclimate model simulations are increasingly used within global biogeochemical models for the Phanerozoic Eon. This improves the accuracy of the surface processes within the biogeochemical models, but the approach is limited by the availability of large numbers of paleoclimate simulations at different pCO 2 levels and for different continental 15 configurations. In this paper we apply the Frame Interpolation for Large Motion (FILM) Deep Learning method to a set of paleoclimate model simulations to upscale their time resolution from one model run every ~25 million years to one model run every 1 million year (Myr). Testing the method on a 5 Myr time-resolution set of continental configurations confirms the accuracy of our approach when reconstructing intermediate frames from configurations separated by up to 40 Myrs. We then apply the method to upscale the 20 paleoclimate datastructure in the SCION climate-biogeochemical model and demonstrate that upscaled outputs for global distributions of surface temperature and runoff follow a logical progression between the original keyframes. When updated to use the high-time-resolution climate datastructure, the SCION model predicts climate shifts that were not present in the original model outputs due to its previous use of wide-spaced datasets and simple linear interpolation
Design and Analysis of Algorithms: A Contemporary Perspective

• I can determine the complexity of an algorithm. • I can explain and implement different types of algorithms (e.g., Divide-and-Conquer, Dynamic Programming, Greedy Algorithms). • I can explain and implement different graph algorithms. • I understand the classes of algorithms (P, NP, and NP-complete) and the role of polynomialreduction in establishing NP-completeness. • I understand the implications of algorithm design in real-world applications.
Dependence at a distance: Labour mobility and the evolution of the single industry town

The single industry town (SIT) is a fundamental feature of the Canadian economy and landscape. However, changes in the demands for and availability and mobility of labour, together with changing attitudes of companies, governments, and labour towards SITs, have resulted in some significant changes in the nature of SITs in recent decades. No new purpose-built resource town has been constructed in Canada since Tumbler Ridge in the 1980s; instead new resource developments in remote areas are characterized by a mobile workforce residing permanently at a distance from the resource, and commuting on a rotational basis to and from camps established near that resource. These work arrangements have had the advantage of dissipating the community effects of resource cycle booms and busts as the workforce is geographically dispersed. However, this changed in the recent commodity boom when labour was targeted from specific regions and communities far from the resource, creating a form of “dependence at a distance” and a new type of SIT. Based on the experience of oil sands developments in the Regional Municipality of Wood Buffalo in Northern Alberta, and using Fort McMurray to illustrate the evolution of the traditional SIT and the towns on the Burin Peninsula in Newfoundland as examples of the new dependent-at-a-distance SITs, this paper describes the change process and considers some of the policy implications that these changes present.
Deep 360 ◦ Optical Flow Estimation Based on Multi-projection Fusion

Optical ﬂow computation is essential in the early stages of the video processing pipeline. This paper focuses on a less explored problem in this area, the 360 ◦ optical ﬂow estimation using deep neural networks to support increasingly popular VR applications. To address the distortions of panoramic representations when applying convolutional neural networks, we propose a novel multi-projection fusion framework that fuses the optical ﬂow predicted by the models trained using diﬀerent projection methods. It learns to combine the complementary information in the optical ﬂow results under diﬀerent projections. We also build the ﬁrst large-scale panoramic optical ﬂow dataset to support the training of neural networks and the evaluation of panoramic optical ﬂow estimation methods. The experimental results on our dataset demonstrate that our method outperforms the existing methods and other alternative deep networks that were developed for processing 360 ◦ content.
Post war migration flows and disparities in mortality from age 50 onwards: The case of Turin in Italy

Compositional changes due to internal migration can modify the distribution of health outcomes, death rates, and socio-economic characteristics of a specific geographical area. Migration flows may affect patterns of socioeconomic inequalities in mortality as well. However, despite these inequalities being an important social and geopolitical feature of an area, there is still little empirical evidence on this effect. This paper contributes to deepening the knowledge about this phenomenon by investigating whether post-war internal migration in Italy affected the pattern of mortality inequality by socio-economic status, from age 50 years onwards, in Turin, one of the main industrial areas of the country, to which many low-educated individuals from the southern regions migrated, seeking jobs in the car factories. Migrants might be selected in terms of robustness because of the healthy migrant effect. However, low-educated individuals are employed in heavier and riskier jobs. They thus undergo a faster health selection due to exposure to a higher mortality risk that selects the most robust individuals. This paper hypothesised that the interplay of these mechanisms might have produced a homogenisation process towards robustness of the population by reducing the unobserved heterogeneity in survival chances and that these processes affected men more than women, because women were likely to be more passive actors in the migratory decisions and less heavily involved in the industrialisation process. The results show that women have higher levels of heterogeneity in susceptibility to death and wider differentials mortality by education level than men, which both support the hypotheses. © 2014 The Authors. Population, Space and Place. Published by John Wiley & Sons, Ltd. Accepted 29 April 2014
seqbias Assessing and Adjusting for Technical Bias in High Throughput Sequencing Data

This package is designed as a means to assess and adjust for technical bias in high-throughput sequencing datasets, RNA-Seq being a specific target. As noted in previous studies, RNA-Seq is often subject to protocol specific bias. That is, the number of reads mapping to a particular position of the genome is dependent on the the surrounding nucleotide sequence (as well as the abundance of the RNA transcript) [1] [3]. Accounting for this bias increases uniformity of coverage and may result in more accurate quantification. The approach implemented here trains a simple Bayesian network classifier and uses it to evaluate the per position bias. This builds off work done by Hansen, et. al. [1], available in the Genominator Bioconductor package. Another approach is taken by Li, et. al. [3] in the mseq package, available from CRAN. For this vignette, we will use some example data taken from Mortazavi, et. al. [4] (NCBI accession number SRR001358). Because of space constraints, we have mapped the reads (using Bowtie [2]) to an artificial genome consisting of approximately 100kb of exonic DNA. This “artificial genome” is given as,
A Study of Artificial Intelligence in the Production of Film

As a key branch of the intelligence field, Artificial Intelligence (AI) is a technical science with the goal of understanding the nature of intelligence and inventing new types of intelligent machines that can act similarly to human intelligence. The study of AI technology includes robotics, natural language processing, speech and image recognition, etc. In recent years, AI has been rapidly developed and widely deployed in a variety of applications in different industries such as autonomous driving, healthcare, financial services, and film production. The application of AI in films is studied in this article, and according to analysis, it can be concluded that in the process of film production, AI technology has its advantages in increasing efficiency and cost-effectiveness in film production. It can also enhance the overall quality of films, impressing the audience by generating special effects and providing filmmakers with new tools and techniques to explore and experiment with. Meanwhile, AI technology also has its disadvantages such as a lack of human touch and depth in the the works produced by AI.
Ultimate feature extractor for Android mobile applications - Technical Features

Android systems have long had the ability to install third party software through unoﬃcial sources. This has resulted in these systems being a prime target for malicious intent. Current research has focused on extracting security features from Android applications and determining whether they are a safety threat or not using machine learning algorithms and other methods. However, researchers tend to use their own tools and data which leads to incomparable research results across diﬀerent research. Thus we would like to propose an ultimate feature extractor that is able to combine diﬀerent kind of features from diﬀer-ent categories into one, with the possibility of adding and/or removing features as the user wishes. In this paper we propose the technical feature extraction part of the feature extractor. Such features includes information that can be obtained by analyzing ﬁles in an Android application.
IMPROVING PATIENT CARE O riginal R esearch Differences Between Early and Late Readmissions Among Patients A Cohort Study

Results: 13 334 admissions, representing 8078 patients, were included in the analysis. Early readmissions were associated with markers of acute illness burden, including length of hospital stay (odds ratio [OR], 1.02 [95% Cl, 1.00 to 1.03]) and whether a rapid response team was called for assessment (OR, 1.48 [Cl, 1.15 to 1.89]); markers of chronic illness burden, including receiving a medication indicating organ failure (OR, 1.19 [Cl, 1.02 to 1.40]); and social determinants of health, including barriers to learning (OR, 1.18 [Cl, 1.01 to 1.38]). Early readmissions were less likely if a patient was discharged between 8:00 a.m. and 12:59 p.m. (OR, 0.76 [Cl, 0.58 to 0.99]). Late readmissions were associated with markers of chronic illness burden, including receiving a medica­ tion indicating organ failure (OR, 1.24 [Cl, 1.08 to 1.41]) or he­ modialysis (OR, 1.61 [Cl, 1.12 to 2.17]), and social determinants of health, including barriers to learning (OR, 1.24 [Cl, 1.09 to 1.42]) and having unsupplemented Medicare or Medicaid (OR, 1.16 [Cl, 1.01 to 1.33]).
Exploring IT Adoption Process in Shanghai Firms: An Empirical Study

The study develops an integrated model to examine factors, particularly government factors, which influence IT adoption in Chinese firms. By analyzing the survey data from 1540 firms across 14 industries and across various ownerships in Shanghai, the study contributes several insights into firmsâ€™ IT usage. First of all, this study sheds light on the IT adoption in Chinese firms and validates the general route from IT infrastructure construction to value realization. Second, the findings suggest that government actions influence firmsâ€™ IT infrastructure development and IT management decision. However, there is no evidence showing the government impact on firmsâ€™ IT usage. The study also provides valuable IT adoption implications to firms in China, particularly to those in the modern cities like Shanghai.
ANNALES DE L’INSTITUT FOURIER

— We provide a generalization of Lieb’s triple matrix extension of the Golden–Thompson inequality from matrix algebras to the setting of traces on finite von Neumann algebras. More precisely, assume that M is a finite von Neumann algebra equipped with a tracial state τ . If 1 ⩽ p,q ⩽ ∞ with 1 /p +1 /q = 1, it is shown that whenever a , b , and c are self-adjoint τ -measurable operators satisfying a ∈ M , e b ∈ L p ( M ,τ ), and e c ∈ L q ( M ,τ ), then the following inequality holds:
DE LA FACULTÉ DES SCIENCES Mathématiques

A BSTRACT . — We investigate the relations between the Poissonnian loop ensembles, their occupation ﬁelds, non ramiﬁed Galois coverings of a graph, the associated gauge ﬁelds, and random Eulerian networks. R ÉSUMÉ . — Notre étude montre les relations existant entre les ensembles poissoniens de lacets, les champs qu’ils déﬁnissent, les circuits euleriens, les revêtements galoisiens des graphes et les champs de jauges associés.
The role of laser interstitial thermal therapy in enhancing The role of laser interstitial thermal therapy in enhancing progression-free survival of difficult-to-access high-grade gliomas: progression-free survival of difficult-to-access high-grade gliomas: A multicenter study A multicenter study

Surgical extent-of-resection has been shown to have an impact on high-grade glioma (HGG) outcomes; however, complete resection is rarely achievable in difﬁcult-to-access (DTA) tumors. Controlled thermal damage to the tumor may have the same impact in DTA-HGGs. We report our multicenter results of laser interstitial thermal therapy (LITT) in DTA-HGGs. We retrospectively reviewed 34 consecutive DTA-HGG patients (24 glioblastoma, 10 anaplastic) who underwent LITT at Cleveland Clinic, Washington University, and Wake Forest University (May 2011 – December 2012) using the NeuroBlate (cid:1) System. The extent of thermal damage was determined using thermal damage threshold (TDT) lines: yellow TDT line (43 ° C for 2 min) and blue TDT line (43 ° C for 10 min). Volumetric analysis was performed to determine the extent-of-coverage of tumor volume by TDT lines. Patient outcomes were evaluated statistically. LITT was delivered as upfront in 19 and delivered as salvage in 16 cases. After 7.2 months of follow-up, 71% of cases demonstrated progression and 34% died. The median overall survival (OS) for the cohort was not reached; however, the 1-year estimate of OS was 68 (cid:1) 9%. Median progression-free survival (PFS) was 5.1 months. Thirteen cases who met the following two criteria — (1) < 0.05 cm 3 tumor volume not covered by the yellow TDT line and (2) < 1.5 cm 3 additional tumor volume not covered by the blue TDT line — had better PFS than the other 21 cases (9.7 vs. 4.6 months; P = 0.02). LITT can be used effectively for treatment of DTA-HGGs. More complete coverage of tumor by TDT lines improves PFS which can be translated as the extent of resection concept for surgery.
Applying Earth Science to Mitigate Liquefaction Damage

The distribution of liquefied areas in the lower basin of the Tone River caused by the 2011 off the Pacific coast of Tohoku Earthquake does not correspond to the results of liquefaction assessments applying conventional geotechnical approaches. Papers in two special issues titled “Liquefaction Phenomena in the Downstream Basin of the Tone River, Eastern Kanto Region from the Viewpoint of Earth Science” clarify that the earth scientific approach focusing into microlandforms, extremely shallow geology, and land development processes can provide much important information for liquefaction assessments. The results of the survey on the present situation of liquefaction hazard maps published by municipalities reveal many problems in terms of contents and expressions. It is proposed to create an appropriate manual for assessing liquefaction risk and producing liquefaction hazard maps of municipalities.
Tracking water quality changes related to human activities in Cape Breton Highlands National Park (Nova Scotia, Canada) using paleolimnological techniques

Assessing the extent of environmental change in national parks is crucial to their mandate of preserving ecological integrity and restoring ecosystems to as close to their natural, pre-anthropogenic states as possible (PARKS CANADA 2001). While this goa! is important, it can come into conflict with the development o f infrastructure necessary for use o f the park by visitors. Both are important reasons for the establishment of many parks as well as a key source for revenue. However, a laek of detailed long-term ecological data makes it difficult to accurately determine the original (i. e., pre-disturbance) characteristics of park ecosystems, and the degree of natural versus anthropogenic variability. Fortunately, in aquatic systems, sediments often preserve a surprisingly rich archive of past lake communities, as well as geochemical and physical proxy indicators, that can be used by paleolimnologists to reconstruct past environmental conditions (SMOL 2002). Using dated lake sediment cores, paleolimnologists can provide important insights into past ecological and other environmental changes for which direct observational data are not available. For example, has the lake changed due to human impacts? If so, when and by how much? What were the pre-disturbance or reference conditions for the study site in question? Although a wide spectrum ofphysical, chemical, and biological indicators are available, most biologicalbased assessments use changes in diatom (Bacillariophyceae) species assemblages to infer past limnological conditions because their siliceous valves are often abundant, diverse, and well-preserved in sediments, and the ecological optima of many common taxa have been described (BATTARBEE et al. 1999, HALL & SMOL 1999). These paleolimnological techniques can provide important data to park ecologists and lake managers to determine how ecosystems have changed over time, and how they have been impacted by environmental stressors. We used paleolimnological techniques to assess the environmental impacts of cultural activities around 2 lakes in Cape Breton Highlands National Park (Fig. 1), which are of concern to park ecologists. French Lake is situated very close to a scenic highway, and concerns were raised that it may have been impacted by road construction and the subsequent run-off of Fig.l. Map showing location of Cape Breton Highlands National Park in Nova Scotia, Canada. Inset A shows the location of Nova Scotia (N. S.) within North America. Inset B shows location of French and Freshwater lakes within national park.
Common Pathogeneses Underlying Asthma and Chronic Obstructive Pulmonary Disease -Insights from Genetic Studies

Abstract Neither asthma nor chronic obstructive pulmonary disease (COPD) is a single disease consisting of a uniform pathogenesis; rather, they are both syndromes that result from a variety of basic distinct pathogeneses. Many of the basic pathogeneses overlap between the two diseases, and multiple basic pathogeneses are simultaneously involved at varying proportions in individual patients. The specific combination of different basic pathogeneses in each patient determines the phenotype of the patient, and it varies widely from patient to patient. For example, type 2 airway inflammation and neutrophilic airway inflammation may coexist in the same patient, and quite a few patients have clinical characteristics of both asthma and COPD. Even in the same patient, the contribution of each pathogenesis is expected to differ at different life stages (eg, childhood, adolescence, middle age, and older), during different seasons (eg, high seasons for hay fever and rhinovirus infection), and depending on the nature of treatments. This review describes several basic pathogeneses commonly involved in both asthma and COPD, including chronic non-type 2 inflammation, type 2 inflammation, viral infections, and lung development. Understanding of the basic molecular pathogeneses in individual patients, rather than the use of clinical diagnosis, such as asthma, COPD, or even asthma COPD overlap, will enable us to better deal with the diversity seen in disease states, and lead to optimal treatment practices tailored for each patient with less disease burden, such as drug-induced side effects, and improved prognosis. Furthermore, we can expect to focus on these molecular pathways as new drug discovery targets.
Trioctahedral or dioctahedral chlorite in soils : examples of a dystrochrept (Corsica), a cryorthod (Norway) and a haplaqualf (France)

Une chlorite dioctaedrique qui se ferme a 300-400°C est decrite dans beaucoup de sols . Mais les donnees R-X et les analyses chimiques d' un grand nombre de sols mettent en doute la presence de ce mineral : 1) la plupart des sols ont une chlorite Mg-Fe trioctaedrique dans les fractions limons et sables, et ce mineral peut etre fragmente en argile ; 2) une alteration chimique peut donner un mineral qui se fermera a 300-400°C ; 3) une augmentation de l'aluminium relativement aux autres elements n'est pas decelee ; 4) en l'absence de chlorite Fe-Mg, un mineral resistant au chauffage n'est pas observe. Trois profils differents sont discutes .
Zingiber Officinale Roscoe: The Antiarthritic Potential of a Popular Spice—Preclinical and Clinical Evidence

The health benefits of ginger rhizomes (Zingiber officinale Roscoe) have been known for centuries. Recently, ginger root has gained more attention due to its anti-inflammatory and analgesic activities. Many of the bioactive components of ginger may have therapeutic benefits in treating inflammatory arthritis. Their properties seem especially helpful in treating diseases linked to persistent inflammation and pain, symptoms present in the course of the most prevalent rheumatic diseases, such as osteoarthritis (OA) and rheumatoid arthritis (RA). This review analyzes the current knowledge regarding ginger’s beneficial anti-inflammatory effect in both in vitro and in vivo studies as well as clinical trials. The drug delivery systems to improve ginger’s bioavailability and medicinal properties are discussed. Understanding ginger’s beneficial aspects may initiate further studies on improving its bioavailability and therapeutic efficacy and achieving more a comprehensive application in medicine.