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"Rex, Michael"
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Toilet paper mummy
Icky Ricky finds his way into all sorts of messes, from having a sleepover on the ceiling, to launching his pet hot dog into his father's toolbox, to being shot with his favorite food, Cheese-in-a-Can.
Book
Deployment of Fuel Cell Vehicles and Hydrogen Refueling Station Infrastructure: A Global Overview and Perspectives
Hydrogen fuel cell vehicles can complement other electric vehicle technologies as a zero-emission technology and contribute to global efforts to achieve the emission reduction targets. This article spotlights the current deployment status of fuel cells in road transport. For this purpose, data collection was performed by the Advanced Fuel Cells Technology Collaboration Programme. Moreover, the available incentives for purchasing a fuel cell vehicle in different countries were reviewed and future perspectives summarized. Based on the collected information, the development trends in the last five years were analyzed and possible further trends that could see the realization of the defined goals derived. The number of registered vehicles was estimated to be 51,437 units, with South Korea leading the market, with 90% of the vehicles being concentrated in four countries. A total of 729 hydrogen refueling stations were in operation, with Japan having the highest number of these. The analysis results clearly indicate a very positive development trend for fuel cell vehicles and hydrogen refueling stations in 2021, with the highest number of new vehicles and stations in a single year, paralleling the year’s overall economic recovery. Yet, a more ambitious ramp-up in the coming years is required to achieve the set targets.
Journal Article
Fangbone!, third-grade barbarian. 1
\"Eastwood Elementary has a new student, and he's nothing like the other kids in 3G. Fangbone is a barbarian warrior from another world. And he's been charged with the task of keeping a deadly weapon from Skullbania's vilest villain, Venomous Drool. Can Fangbone's new classmates team up to help him triumph over hound-snakes, lava-ferrets, and his first pop quiz?\"--Publisher.
Book
Energetics of life on the deep seafloor
With frigid temperatures and virtually no in situ productivity, the deep oceans, Earth’s largest ecosystem, are especially energy-deprived systems. Our knowledge of the effects of this energy limitation on all levels of biological organization is very incomplete. Here, we use the Metabolic Theory of Ecology to examine the relative roles of carbon flux and temperature in influencing metabolic rate, growth rate, lifespan, body size, abundance, biomass, and biodiversity for life on the deep seafloor. We show that the relative impacts of thermal and chemical energy change across organizational scales. Results suggest that individual metabolic rates, growth, and turnover proceed as quickly as temperature-influenced biochemical kinetics allow but that chemical energy limits higher-order community structure and function. Understanding deep-sea energetics is a pressing problem because of accelerating climate change and the general lack of environmental regulatory policy for the deep oceans.
Journal Article
The end of the world
\"Icky Ricky is up to his eyeballs in trouble and in ick--giving a funeral for a pizza, dealing with a one-eyed squirrel, and dressing up as Bigfoot\"-- Provided by publisher.
Book
Global Patterns and Predictions of Seafloor Biomass Using Random Forests
A comprehensive seafloor biomass and abundance database has been constructed from 24 oceanographic institutions worldwide within the Census of Marine Life (CoML) field projects. The machine-learning algorithm, Random Forests, was employed to model and predict seafloor standing stocks from surface primary production, water-column integrated and export particulate organic matter (POM), seafloor relief, and bottom water properties. The predictive models explain 63% to 88% of stock variance among the major size groups. Individual and composite maps of predicted global seafloor biomass and abundance are generated for bacteria, meiofauna, macrofauna, and megafauna (invertebrates and fishes). Patterns of benthic standing stocks were positive functions of surface primary production and delivery of the particulate organic carbon (POC) flux to the seafloor. At a regional scale, the census maps illustrate that integrated biomass is highest at the poles, on continental margins associated with coastal upwelling and with broad zones associated with equatorial divergence. Lowest values are consistently encountered on the central abyssal plains of major ocean basins The shift of biomass dominance groups with depth is shown to be affected by the decrease in average body size rather than abundance, presumably due to decrease in quantity and quality of food supply. This biomass census and associated maps are vital components of mechanistic deep-sea food web models and global carbon cycling, and as such provide fundamental information that can be incorporated into evidence-based management.
Journal Article
Fangbone!, third-grade barbarian. 2, The egg of misery
\"Class 3G gets a new class pet from Fangbone's barbarian home world: an unhatched egg of the legendary White Titan razor dragon\"--P. [4] of cover.
Book
An expert system for vibration-based surface roughness prediction using firefly algorithm and LSTM network
Surface roughness is a critical indicator of machining quality and is affected by factors such as tool quality, workpiece properties, and machining conditions. Many studies have focused on predicting the surface roughness of the turning process using cutting parameters. Yet, surface roughness is also impacted by tool qualities, workpiece properties, and machining conditions. Extracting statistical features from vibration signals during machining can aid in predicting surface roughness and facilitating prompt remedial action to boost productivity. However, not all features may contain crucial information about surface conditions. However, all the extracted features may not contain important information about the surface conditions. Hence, a novel hybrid vibration-based prediction methodology was proposed using the firefly algorithm-based feature selection to predict surface roughness. The statistical features were extracted from the vibration signals measured during the machining operation. A novel Firefly algorithm was employed to select features with useful information about the surface condition. The selected features were used to train a long short-term memory (LSTM) network to predict surface roughness. The performance of the proposed methodology was compared to other feature selection and prediction techniques, and it was found to be effective. The results indicated that the features selected using the Firefly algorithm yielded better prediction results with a minimum root mean square error (RMSE) of 0.248 compared to those selected using the genetic algorithm. The LSTM network’s effectiveness with the feature selected using the Firefly method was also compared to that of other conventional regression algorithms and found to be superior.
Journal Article
The hole to China
\"He's digging a hole to China, in his backyard. He found a free toilet in someone's garbage. He fell into a pigpen with a muddy mega-pig. Icky Ricky is up to his eyeballs in trouble--and ick\"-- Provided by publisher.
Book
Review and statistical analysis of clinical management of feline leishmaniosis caused by Leishmania infantum
Background
There is limited information about feline leishmaniosis (FeL) management in clinical practice.
Leishmania infantum
is the species of
Leishmania
most frequently reported in both dogs and cats in countries of the Mediterranean region (henceforth ‘Mediterranean countries’), Central and South America, and Iran. This study was conducted to provide veterinary clinicians with an updated overview of evidence-based information on leishmaniosis in cats.
Methods
A review was performed using PubMed, Science Direct, Google Scholar and Web of Science. Case reports of FeL caused by
L. infantum
were sought for the period 1912 to 1 June 2021.
Results
Sixty-three case reports are included in this review. Fifty-nine out of the 63 cats were from Europe, mostly from Mediterranean countries (88.9%). Most of them were domestic short-haired cats (90%) with a mean age of 7.9 years, and had access to the outdoors (77.3%). Sixty-six percent of the cats had comorbidities, of which feline immunodeficiency virus infection was the most frequent (37.7%). Dermatological lesions (69.8%) was the most frequent clinical sign, and hyperproteinemia (46.3%) the most frequent clinicopathological abnormality. Serology was the most performed diagnostic method (76.2%) and was positive for 93.7% of cats. Medical treatment was applied in 71.4% of cats, and allopurinol was the most used drug (74.4%). Survival time was greater for treated cats (520 days; 71.4% of cats) than non-treated cats (210 days; 25.4%).
Conclusions
The majority of the cats had comorbidities, of which feline immunodeficiency virus was the most frequent. Dermatological lesions were frequently reported, and systemic clinical signs and clinicopathological abnormalities were also common. Serology may be useful for the diagnosis of FeL in clinical practice, and a positive titer of ≥ 1/40 may be a useful cut-off for sick cats. The reported treatments and dosages varied, but there was a good clinical response and longer survival in most of the cats treated with allopurinol monotherapy.
Graphical abstract
Journal Article