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Den handbook : your guide to decorating, decking out, and designing the ultimate epic den
\"Get the inside scoop on how to design and decorate the perfect den, tips from Animal Jam players and pros, plus how to earn the best stuff to deck out your space. Layered with fascinating information and fun facts, gamers and animal lovers alike can also learn about amazing real-world animal homes. Perfect for gaming experts and newbies\"--Provided by publisher.
Book
Research on the mechanical equilibrium equation of ice jam
Ice jams, which are prevalent in rivers of cold regions, can escalate into severe flooding disasters. Understanding variations in ice jam thickness is crucial, generating significant scholarly interest in developing accurate computational methods. Current models primarily rely on mechanical equilibrium equations to estimate ice jam thickness, representing a significant advancement in theoretical research. However, these models often overlook critical factors such as the cohesion of ice jams and the distribution of equilibrium stress across the river’s width, which can undermine their accuracy. This study introduces an enhanced model that incorporates these aspects, thereby improving the mathematical rigor. Validated against empirical data from natural rivers, the proposed model demonstrates strong agreement with observed values. This research not only refines the theoretical framework for calculating ice jam thickness but also improves the prediction and management of ice jam evolution and related disasters in cold regions.
Journal Article
Animal handbook : your guide to the awesome animals and fantastic fashions of Jamaa
\"Learn all about the wild animals and pets in Jamaa, the various characteristics of each, how they compare to their real- world counterparts, and so much more. Discover the behind-the-scenes backstory of key characters, find out how to improve your gameplay, and read awesome information on real-life animals. Perfect for game experts and newbies alike\"--Provided by publisher.
Book
The F11 Receptor (F11R)/Junctional Adhesion Molecule-A (JAM-A) (F11R/JAM-A) in cancer progression
The F11 Receptor (F11R), also called Junctional Adhesion Molecule-A (JAM-A) (F11R/JAM-A), is a transmembrane glycoprotein of the immunoglobulin superfamily, which is mainly located in epithelial and endothelial cell tight junctions and also expressed on circulating platelets and leukocytes. It participates in the regulation of various biological processes, as diverse as paracellular permeability, tight junction formation and maintenance, leukocyte transendothelial migration, epithelial-to-mesenchymal transition, angiogenesis, reovirus binding, and platelet activation. Dysregulation of F11R/JAM-A may result in pathological consequences and disorders in normal cell function. A growing body of evidence points to its role in carcinogenesis and invasiveness, but its tissue-specific pro- or anti-tumorigenic role remains a debated issue. The following review focuses on the F11R/JAM-A tissue-dependent manner in tumorigenesis and metastasis and also discusses the correlation between poor patient clinical outcomes and its aberrant expression. In the future, it will be required to clarify the signaling pathways that are activated or suppressed via the F11R/JAM-A protein in various cancer types to understand its multiple roles in cancer progression and further use it as a novel direct target for cancer treatment.
Journal Article
From strawberry to jam
\"How do strawberries become tasty jam? Follow each step in the process--from picking the berries to spreading the jam on toast--in this fascinating book!\"--Back cover.
Book
Frazil ice events: assessing what to expect in the future
This article addresses the question: What is expected from frazil ice activity in rivers, taking into account the changing climate? It begins with an overview of what frazil ice is and what is required for the occurrence of frazil ice events, namely a supercooled water column. Methodologies to anticipate frazil ice events in the short term are based on air temperature and water discharge, underlining the significance of these two parameters for any predictive methods. Longer-term approaches, calibrated against past events (hindcasting), are used to anticipate frazil ice activity into the future, with indicators such as frazil ice risk, water temperature and frazil volume. Any of these approaches could conceivably be applied to frazil-prone river stretches. To assess climate impact, each location should be treated separately. River ice dynamics can lead to the formation of a hanging dam, a frequent outcome of frazil ice generation in the early winter, causing flow restriction. Flood modeling and forecasting capabilities have been developed and implemented for operational use. More frequent mid-winter breakups are expected to extend the occurrence of frazil ice events into the winter months – the prediction of these will require climate model output to adequately capture month-to-month variability.
Journal Article
Animal jam : official insider's guide
\"The official guide to the amazing virtual world of Naitonal Geographic Kids Animal Jam, this colorful, fun companion book offers novices and expert gamers alike all they need to know.\"--Provided by publisher.
Book
Predicting Head Loss and Hydraulic Roughness of Channel‐Spanning Large Wood Jams
Log jams enhance hydraulic and geomorphic diversity in river corridors. Channel‐spanning log jams induce backwatering, increase local flow heterogeneity, promote sediment deposition, and improve aquatic habitat diversity. Despite their increasing popularity in river restoration, predicting their hydraulic effects remains a challenge. We developed a model to predict dimensionless head loss through log jams for sub‐bankfull flows as traditional backwater methods are limited in variable natural channels. We developed the model from historical flume studies and tested the model application on field data from natural jams. As solid volume fraction increased, we found that dimensionless head loss also increased. Field application of our model successfully predicted head loss in naturally occurring log jams. Roughness values (Manning's n$n$and Darcy‐Weisbach f$f$ ) varied but generally decreased with increased unit discharge. Our approach for determining head loss and roughness allows for better prediction and design of the localized hydraulic impacts of log jams.
Journal Article
Forecasting Ice Jam Peak Levels of the Sukhona River near Veliky Ustyug
The paper presents the analysis, modeling, and forecasting of the time series of the ice jam peak water level of the Sukhona River near Veliky Ustyug, taking into account the predictors selected by the multiple regression technique. A methodology based on the multiple regression that uses the results of modeling by the method developed by V.A. Buzin as a separate predictor is proposed. This approach has improved the forecast skill and forecast results. The observed and predicted values are significantly correlated.
Journal Article