EXPRESS: High-Energy Ad Content: A Large-scale Investigation of TV Commercials

2021 ◽  
pp. 002224372110678
Author(s):  
Joonhyuk Yang ◽  
Yingkang Xie ◽  
Lakshman Krishnamurthi ◽  
Purushottam Papatla
Keyword(s):  
Energy Level ◽  
Large Scale ◽  
Energy Levels ◽  
Positive Association ◽  
High Energy ◽  
Data Set ◽  
Product Categories ◽  
Tv Commercials

A trend reported by both academics and practitioners is that advertising on TV has become increasingly energetic. This study investigates the association between the energy level in ad content and consumers’ tendency of ad-tuning. Using a data set of over 27,000 TV commercials delivered to U.S. homes during the period between 2015 and 2018, the authors first present a framework to algorithmically measure the energy level in ad content from the video of ads. This algorithm-based measure is then compared to human-perceived energy levels, which shows that the measure is related to the level of arousal stimulated by ad content. By relating the energy levels in ad content with the tendency of ad-tuning using two empirical procedures, the authors document the following. Overall, more energetic commercials are likely to be tuned in more or avoided less by viewers. The positive association between energy levels in ad content and ad-tuning is statistically significant after controlling for placement and other aspects of commercials. However, the association varies across product categories and program genres. The main implication of this study is that advertisers should pay attention to components of ad content other than loudness, which has been regulated by law.

scholarly journals Radiation Sterilization: Dose Is Dose

2020 ◽  
Vol 54 (s1) ◽  
pp. 45-52
Author(s):  
Joyce M. Hansen ◽  
Niki Fidopiastis ◽  
Trabue Bryans ◽  
Michelle Luebke ◽  
Terri Rymer
Keyword(s):  
Energy Level ◽  
Energy Levels ◽  
Radiation Energy ◽  
Biological Indicators ◽  
High Energy ◽  
Microbial Inactivation ◽  
Radiation Sterilization ◽  
Dose Rates ◽  
Radiation Sources ◽  
Radiation Sterilization Dose

Abstract In the radiation sterilization arena, the question often arises as to whether radiation resistance of microorganisms might be affected by the energy level of the radiation source and the rate of the dose delivered (kGy/time). The basis for the question is if the microbial lethality is affected by the radiation energy level and/or the rate the dose is delivered, then the ability to transfer dose among different radiation sources could be challenged. This study addressed that question by performing a microbial inactivation study using two radiation sources (gamma and electron beam [E-beam]), two microbial challenges (natural product bioburden and biological indicators), and four dose rates delivered by three energy levels (1.17 MeV [gamma], 1.33 MeV [gamma], and 10 MeV [high-energy E-beam]). Based on analysis of the data, no significant differences were seen in the rate of microbial lethality across the range of radiation energies evaluated. In summary, as long as proof exists that the specified dose is delivered, dose is dose.

scholarly journals Large-Scale Distributed Training Applied to Generative Adversarial Networks for Calorimeter Simulation

2019 ◽  
Vol 214 ◽  
pp. 06025
Author(s):  
Jean-Roch Vlimant ◽  
Felice Pantaleo ◽  
Maurizio Pierini ◽  
Vladimir Loncar ◽  
Sofia Vallecorsa ◽  
...  
Keyword(s):  
Large Scale ◽  
Message Passing Interface ◽  
Scale Up ◽  
High Energy ◽  
Neural Nets ◽  
Generative Adversarial Networks ◽  
Detector Response ◽  
Data Set ◽  
Distributed Training ◽  
Adversarial Networks

In recent years, several studies have demonstrated the benefit of using deep learning to solve typical tasks related to high energy physics data taking and analysis. In particular, generative adversarial networks are a good candidate to supplement the simulation of the detector response in a collider environment. Training of neural network models has been made tractable with the improvement of optimization methods and the advent of GP-GPU well adapted to tackle the highly-parallelizable task of training neural nets. Despite these advancements, training of large models over large data sets can take days to weeks. Even more so, finding the best model architecture and settings can take many expensive trials. To get the best out of this new technology, it is important to scale up the available network-training resources and, consequently, to provide tools for optimal large-scale distributed training. In this context, our development of a new training workflow, which scales on multi-node/multi-GPU architectures with an eye to deployment on high performance computing machines is described. We describe the integration of hyper parameter optimization with a distributed training framework using Message Passing Interface, for models defined in keras [12] or pytorch [13]. We present results on the speedup of training generative adversarial networks trained on a data set composed of the energy deposition from electron, photons, charged and neutral hadrons in a fine grained digital calorimeter.

scholarly journals The H.E.S.S. Galactic plane survey

2018 ◽  
Vol 612 ◽  
pp. A1 ◽  
Author(s):  
◽  
H. Abdalla ◽  
A. Abramowski ◽  
F. Aharonian ◽  
F. Ait Benkhali ◽  
...  
Keyword(s):  
Supernova Remnants ◽  
Large Scale ◽  
Gamma Ray ◽  
Galactic Center ◽  
Galactic Plane ◽  
High Energy ◽  
High Angular Resolution ◽  
Data Set ◽  
Cherenkov Telescopes ◽  
Spatial Coverage

We present the results of the most comprehensive survey of the Galactic plane in very high-energy (VHE) γ-rays, including a public release of Galactic sky maps, a catalog of VHE sources, and the discovery of 16 new sources of VHE γ-rays. The High Energy Spectroscopic System (H.E.S.S.) Galactic plane survey (HGPS) was a decade-long observation program carried out by the H.E.S.S. I array of Cherenkov telescopes in Namibia from 2004 to 2013. The observations amount to nearly 2700 h of quality-selected data, covering the Galactic plane at longitudes from ℓ = 250° to 65° and latitudes |b|≤ 3°. In addition to the unprecedented spatial coverage, the HGPS also features a relatively high angular resolution (0.08° ≈ 5 arcmin mean point spread function 68% containment radius), sensitivity (≲1.5% Crab flux for point-like sources), and energy range (0.2–100 TeV). We constructed a catalog of VHE γ-ray sources from the HGPS data set with a systematic procedure for both source detection and characterization of morphology and spectrum. We present this likelihood-based method in detail, including the introduction of a model component to account for unresolved, large-scale emission along the Galactic plane. In total, the resulting HGPS catalog contains 78 VHE sources, of which 14 are not reanalyzed here, for example, due to their complex morphology, namely shell-like sources and the Galactic center region. Where possible, we provide a firm identification of the VHE source or plausible associations with sources in other astronomical catalogs. We also studied the characteristics of the VHE sources with source parameter distributions. 16 new sources were previously unknown or unpublished, and we individually discuss their identifications or possible associations. We firmly identified 31 sources as pulsar wind nebulae (PWNe), supernova remnants (SNRs), composite SNRs, or gamma-ray binaries. Among the 47 sources not yet identified, most of them (36) have possible associations with cataloged objects, notably PWNe and energetic pulsars that could power VHE PWNe.

scholarly journals Performance and hormonal profile in broiler chickens fed with different energy levels during post restriction period

2003 ◽  
Vol 38 (6) ◽  
pp. 697-702 ◽  
Author(s):  
Poliana Fernanda Giachetto ◽  
Erika Nomura Guerreiro ◽  
Jesus Aparecido Ferro ◽  
Maria Inês Tiraboschi Ferro ◽  
Renato Luis Furlan ◽  
...  
Keyword(s):  
Energy Level ◽  
Broiler Chickens ◽  
Energy Levels ◽  
High Energy ◽  
Feed Restriction ◽  
Feed Conversion ◽  
Feeding Program ◽  
Ad Libitum ◽  
Ad Libitum Intake ◽  
Metabolic Hormone

The aim of this work was to investigate the influence of diet energy level on performance and hormonal profiles of broilers during post restriction period. It was a split-plot experiment, and the main treatments were in a 2x2 factorial scheme. Birds were fed restricted to 30% of the ad libitum intake, from 7 to 14 days of age. After the restriction period, birds were fed ad libitum with diets containing low (2,900 kcal ME/kg) or high (3,200 kcal ME/kg) energy until 49 days of age. Broilers fed with high energy ration showed lower feed intake and better feed conversion and decreased carcass protein; however, abdominal fat pad, and total carcass fat were not affected by ration energy levels or feeding program. Neither diet energy level nor feed restriction program changed body weight at 49 days. The profile of insulin-like growth factor-1 (IGF-1) was reduced during the feed restriction period, but increased at refeeding period. Feeding program and ration energy level did not affect T3, T4 and growth hormone serum concentrations. Feed restriction at 30% of ad libitum intake is not enough to promote changes on carcass quality, related to fat deposition, and on metabolic hormone levels, except IGF-1 seric level that has rapid increase after feed restriction.

Effect of CSN1S1 genotype and its interaction with diet energy level on milk production and quality in Girgentana goats fed ad libitum

2010 ◽  
Vol 77 (2) ◽  
pp. 245-251 ◽  
Author(s):  
Renato Italo Pagano ◽  
Pietro Pennisi ◽  
Bernardo Valenti ◽  
Massimiliano Lanza ◽  
Adriana Di Trana ◽  
...  
Keyword(s):  
Energy Level ◽  
Milk Production ◽  
Energy Levels ◽  
High Energy ◽  
Latin Squares ◽  
Blood Concentrations ◽  
Alfalfa Hay ◽  
Lactating Goats ◽  
Milk Urea ◽  
Ad Libitum

A study was carried out to evaluate how the energy level of the diet can affect milk production and quality in Girgentana lactating goats in relation to polymorphism at the αs1-casein (CSN1S1) genotype locus. Twenty-seven goats, homogeneous for milk production (1·5±0·3 kg/d), days of lactation (90±10 d) and body weight (35·8±5·5 kg) were selected on the basis of their CSN1S1 genotype, as follows: nine goats homozygous for strong (AA) alleles, nine goats homozygous for weak alleles (FF) and nine goats heterozygous (AF). The goats were used in a 3×3 factorial arrangement of treatments, with three genotypes (AA, FF, AF) and three diets at different energy levels (100%, 65% and 30% of hay inclusion). The experiment consisted of three simultaneous 3×3 Latin squares for the three genotypes, with one square for each level of hay inclusion in the diet. All the animals were housed in individual pens. Each experimental period lasted 23 d and consisted of 15 d for adaptation and 8 d for data and sample collection, during which the goats received the scheduled diet ad libitum. The animals were fed three different diets designed to have the same crude protein content (about 15%) but different energy levels: a pelleted alfalfa hay (H100) and two feeds including 65% (H65) and 30% (H30) of alfalfa hay (respectively 1099, 1386 and 1590 kcal NE for lactation/kg DM). All the diets were ground and pelleted (6 mm diameter). AA goats were more productive than AF and FF goats (respectively: 1419 v. 1145 and 1014 g/d; P=0·002). Indeed the interaction energy level×genotype was significant (P=0·018): in fact AA goats showed their milk increase only when fed with concentrates. Differences in protein and in casein levels between the three genotypes were in line with results expected from the different allele contribution to αs1-casein synthesis. Milk urea levels were significantly lower in AA goats compared with AF and FF genotypes (respectively 32·7 v. 40·4 and 40·4 mg/dl; P=0·049) and significantly lower when goats were fed with 65H and 30H diets than with 100H diet (respectively 37·4 and 34·3 v. 41·7 mg/dl; P<0·001). Indeed, a significant interaction genotype×diet (P=0·043) occurred for milk urea, which was significantly lower in AA goats but only when fed with concentrates (65H and 30H). Blood concentrations of energy indicators (glucose, non-esterified fatty acids and beta-hydroxybutyric acid) were not influenced by genotype. The results confirm that strong alleles are associated with a greater efficiency of feed utilization and seem to show that a high energy level of the diet can further improve this efficiency.

Manufacturing Process Innovation in the Pharmaceutical Industry

2021 ◽  
Author(s):  
Ivan Lugovoi ◽  
Dimitrios A. Andritsos ◽  
Claire Senot
Keyword(s):  
Firm Performance ◽  
Competitive Advantage ◽  
Manufacturing Process ◽  
Large Scale ◽  
Secondary Data ◽  
Positive Association ◽  
Process Innovation ◽  
Problem Definition ◽  
Data Set ◽  
Process Innovations

Problem definition: Process innovation is commonly claimed to be a major source of competitive advantage for firms. Despite this perceived influence, it has received substantially less attention than product innovation, and much uncertainty remains about its true association with firm performance. We investigate the relationship between a pharmaceutical firm’s portfolio of manufacturing process innovations and its economic performance. Academic/practical relevance: We uniquely conduct a multidimensional evaluation of a firm’s portfolio of manufacturing process innovations at the product level. This allows a quantitative evaluation of both the relative benefit of the different dimensions of a portfolio as well as the potential complementarities between these in different technological landscapes. Methodology: Through a collaboration with expert patent attorneys, we develop a unique longitudinal data set that combines secondary data and evaluations of a firm’s portfolio of process patents along two key dimensions: novelty and scope. We conduct econometric analyses for a large-scale sample of active pharmaceutical ingredients (APIs) whose product patents have expired and for which process innovation is thus the main source of competitive advantage. Results: We find a positive association between the presence of manufacturing process innovation and firm performance. However, although portfolio’s scope appears to always be beneficial to performance, the effect of novelty alone depends on the ruggedness of the technological landscape: negative in smoother landscapes and positive in more rugged landscapes. Results further suggest that novelty and scope of a portfolio of process innovations are complementary across technological landscapes. Managerial implications: Our results provide important practical insights that can inform the organization and execution of the research and development process across high-technology industries. In particular, although process innovations can be economically beneficial, investing in high-novelty process innovations without a corresponding high scope could jeopardize payoffs, especially in technological landscapes that are relatively smooth.

Effects of Outlier Flow Field on the Characteristics of In-Cylinder Coherent Structures Identified by POD-Based Conditional Averaging and Quadruple POD

2018 ◽  
Author(s):  
Rui Gao ◽  
Li Shen ◽  
Kwee-Yan Teh ◽  
Penghui Ge ◽  
Fengnian Zhao ◽  
...  
Keyword(s):  
Flow Field ◽  
Coherent Structures ◽  
Large Scale ◽  
Flow Fields ◽  
High Energy ◽  
Data Set ◽  
Engine Cylinder ◽  
Conditional Averaging ◽  
Engine Cycle ◽  
Low Order

Proper Orthogonal Decomposition (POD) offers an approach to quantify cycle-to-cycle variation (CCV) of the flow field inside the internal combustion engine cylinder. POD decomposes instantaneous flow fields (also called snapshots) into a series of orthonormal flow patterns (called POD modes) and the corresponding mode coefficients. The POD modes are rank-ordered by decreasing kinetic energy content, and the low-order, high-energy modes are interpreted as constituting the large-scale coherent flow structure that varies from engine cycle to engine cycle. Various POD-based analysis techniques have thus been proposed to characterize engine flow field CCV using these low-order modes. The validity of such POD-based analyses rests, as a matter of course, on the reliability of the underlying POD results (modes and coefficients). Yet a POD mode can be disproportionately skewed by a single outlier snapshot within a large data set, and an algorithm exists to define and identify such outliers. In this paper, the effects of a candidate outlier snapshot on the results of POD-based conditional averaging and quadruple POD analyses are examined for two sets of crank angle-resolved flow fields on the mid-tumble plane of an optical engine cylinder recorded by high-speed particle image velocimetry. The results with and without the candidate outlier are compared and contrasted. In the case of POD-based conditional averaging, the presence of the outlier scrambles the composition of snapshot subsets that define large-scale flow pattern variations, and thus substantially alters the coherent flow structures that are identified; for quadruple POD, the shape of coherent structures as well as the number of modes to define them are not significantly affected by the outlier.

scholarly journals Settlement scale analysis approach to reach nearly zero energy communities

2019 ◽  
Vol 111 ◽  
pp. 06026
Author(s):  
Ece Kalaycıoğlu ◽  
Ayşe Zerrin Yılmaz
Keyword(s):  
Large Scale ◽  
Energy Levels ◽  
Energy System ◽  
Energy Performance ◽  
High Energy ◽  
The European Union ◽  
Zero Energy ◽  
Building Stock ◽  
District Energy ◽  
Advantages And Disadvantages

Looking at the recent developments, the European Union (EU) aims to become a zero carbon community. For the building sector, Energy Performance of Buildings Directive (EPBD) was recast in 2010 introducing the definition of the nearly zero energy building (NZEB) levels to construct all new buildings at this level by the end of 2020. The last revision of the directive in 2018 also promotes the renovation of the building stock to the NZEB levels. In the paper, it was proposed to define the nearly zero energy levels for settlements. This way, it was aimed to discuss the advantages and disadvantages of reaching the nearly zero energy levels at larger scales than single buildings. Settlement level studies, including the district energy systems, intended to reveal the energy efficiency measures which lead to optimal cost levels for more than one building. Key parameters were examined for a new settlement design which may be beneficial for the large-scale renewable energy system implementation and district energy system (DES) usage with high energy performance buildings.

Stromatoporoid Beds and Flat-Pebble Conglomerates Interpreted as Tsunami Deposits in the Upper Silurian of Podolia, Ukraine

2014 ◽  
Vol 64 (3) ◽  
pp. 261-280 ◽  
Author(s):  
Piotr Łuczyński ◽  
Stanisław skompski ◽  
Wojciech Kozłowski
Keyword(s):  
Large Scale ◽  
Energy Levels ◽  
High Energy ◽  
Tsunami Deposits ◽  
Growth Environment ◽  
Tsunami Waves ◽  
Fine Grained ◽  
Storm Wave ◽  
Very High Energy ◽  
Upper Silurian

Abstract Tsunami deposits are currently a subject of intensive studies. Tsunamis must have occurred in the geological past in the same frequency as nowadays, yet their identified depositional record is surprisingly scarce. Here we describe a hitherto unrecognized example of probable palaeotsunamites. The Upper Silurian (Pridoli) carbonate succession of Podolia (southwestern Ukraine) contains variously devel-oped event beds forming intercalations within peritidal deposits (shallow water limestones, nodular marls and dolomites). The event beds are represented by stromatoporoid and fine-grained bioclastic limestones, in some places accompanied by flat-pebble conglomerates. The interval with event beds can be traced along the Zbruch River in separate outcrops over a distance of more than 20 km along a transect oblique to the palaeoshoreline. The stro-matoporoid beds have erosional bottom surfaces and are composed of overturned and often fragmented massive skele-tons. The material has been transported landward from their offshore habitats and deposited in lagoonal settings. The flat-pebble conglomerates are composed of sub-angular micritic clasts that are lithologically identical to the sediments forming the underlying beds. Large-scale landward transport of the biogenic material has to be attributed to phenomena with very high energy levels, such as tropical hurricanes or tsunamis. This paper presents a tsunamigenic interpretation. Morphome-tric features of redeposited stromatoporoids point to a calm original growth environment at depths well below storm wave base. Tsunami waves are the most probable factor that could cause their redeposition from such a setting. The vastness of the area covered by parabiostromal stromatoporoid beds resembles the distribution of modern tsunami deposits in offshore settings. The stromatoporoid beds with unsorted stromatoporoids of various dimensions evenly distributed throughout the thickness of the beds and with clast-supported textures most probably represent deposition by traction. In some sections, the stromatoporoids are restricted to the lowermost parts of the beds, which pass upwards into bioclastic limestones. In this case, the finer material was deposited from suspension. The coexistence of stromatoporoid beds and flat-pebble conglomerates also allows presenting a tsunami interpretation of the latter. The propagating tsunami waves, led to erosion of partly lithified thin-layered mudstones, their fragmentation into flat clasts and redeposition as flat-pebble conglomerates.

scholarly journals Dietary Energy Levels Affect Growth Performance through Growth Hormone and Insulin-Like Growth Factor 1 in Yak (Bos grunniens)

Animals ◽  
2019 ◽  
Vol 9 (2) ◽  
pp. 39 ◽  
Author(s):  
Chao Yang ◽  
Jianbo Zhang ◽  
Anum Ahmad ◽  
Pengjia Bao ◽  
Xian Guo ◽  
...  
Keyword(s):  
Growth Hormone ◽  
Growth Factor ◽  
Energy Level ◽  
Growth Performance ◽  
Growth Hormone Receptor ◽  
Energy Levels ◽  
High Energy ◽  
Dietary Energy ◽  
Insulin Like Growth Factor ◽  
Feed Conversion

The objective of this study was to investigate the effects of different dietary energy levels on serum concentrations of growth hormone (GH) and insulin-like growth factor 1 (IGF-1), as well as gene expression of their associated binding proteins and receptors in yak. Fifteen adult male yaks with BW of 276.1 ± 3.5 kg were allotted in three dietary groups and were fed with low (LE), medium (ME), and high energy (HE) level diet having different NEg of 5.5 MJ/kg, 6.2 MJ/kg, 6.9 MJ/kg, respectively. The effects of these treatments on ADG, BW, ADFI, and feed conversion ratio were significant (p < 0.05) throughout the experimental period. Serum GH concentration decreased (p < 0.05) with an increase in dietary energy level on d 30 and d 60. While IGF-1 concentration was higher (p < 0.05) in ME group, as compared to LE and HE groups on d 60. The expression level of growth hormone receptor (GHR) was decreased (p < 0.001) and IGF-1 was increased with the increase in the dietary energy level. The relative expression of insulin-like growth factor binding protein 3 (IGFBP-3) was higher (p < 0.001) in ME and HE groups, except the LE group. In conclusion, our findings provide a first insight into the combined effect of GH and IGF-1 in controlling the metabolism and productivity of yak. It also showed that medium energy level diet contributed to promote growth performance of yak during the cold season.

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