bluuebunny/crossref_metadata_2025_split huggingface dataset:
Aquatic Center Marketing
Authors: Josephs Judith Leblein 
Published: March 2022

If you need to make a big impact in promoting and growing your aquatic facility, then you need Aquatic Center Marketing. Written by an industry veteran whose novel approach to marketing has garnered numerous national and international awards, this book delivers practical, affordable, and innovative marketing ideas for any new or existing aquatic facility, of any type and size.
Whether you work for a municipal pool or a commercial property, the tried-and-tested techniques in Aquatic Center Marketing can help your facility flourish:
• Increase membership
• Reenergize attendance to keep guests coming back for more
• Establish your facility's image in the community
• Reinforce the value of aquatics as an enjoyable lifelong activity
You’ll find chapters on topics such as brand management, market development, guest communications, and how to be effective with limited funding. Learn how the design and signage in your facility can work to excite guests and keep them coming back throughout the season. Understand how to get the most out of your electronic and social media efforts and how to use fun events and themes to attract specific audiences. Then see real-life examples in case studies and stories that demonstrate the practical solutions in action.
Create memorable experiences for your guests and make your aquatic facility a success. Aquatic Center Marketing is full of realistic, practical ideas that anyone managing an aquatic facility can quickly put to good use to grow the facility and increase the bottom line.
The Warm-Up
Authors: Jeffreys Ian 
Published: March 2022

Athletes do not all train the same way, but it is rare to see any athlete—at any level—exercise or compete without warming up. Although the warm-up can take many forms, smart coaches and athletes know that the warm-up should be a part of any training session.
Whether you work for a municipal pool or a commercial property, the tried-and-tested techniques in Aquatic Center Marketing can help your facility flourish:
The Warm-Up is the first book to describe the science of the warm-up and provide guidelines to maximize its effectiveness through the process of constructing effective RAMP-based warm-ups. The RAMP system—Raise, Activate, Mobilize, and Potentiate—looks at the warm-up not only as preparation for the upcoming session, but also as tool for athletic development that can cultivate the skills and movement capacities needed to excel in sport. RAMP has become a standard warm-up system recommended by the United Kingdom Strength and Conditioning Association (UKSCA) and is included in professional resources developed by the National Strength and Conditioning Association (NSCA).
The Warm-Up provides a library of activities that can be used to maximize the effectiveness of warm-ups within the structure of the RAMP system. Coaches and athletes can incorporate activities to develop warm-ups that directly contribute to performance, or they can use one of five sample RAMP warm-up programs, which are appropriate for a variety of sports and athlete training levels. More than 160 diagrams and photos enhance the text and provide direction for the drills and exercises, and 17 video clips demonstrate movement patterns of the Raise phase. Plus, exercise and drill finders make it easy to find the exercises best suited for specific needs.
It’s time to make the warm-up part of the long-term athlete development plan. The Warm-Up will help coaches and athletes use the RAMP system to make warm-ups a more effective part of training that contributes to better performance.
Running Form
Authors: Anderson Owen 
Published: March 2022

For many runners, running technique is an afterthought—one they don't think about until an injury or plateau keeps them from achieving their goals. Running Form underscores the importance of proper form and shows you how to elevate your performance to the greatest possible extent with the smallest risk of injury.
Owen Anderson, PhD, is a coach to elite runners from around the globe. In Running Form, he describes the common problem of runners moving on “square wheels” by braking with each step, adopting inefficient stances, or risking injury with excessive ground impact. He pinpoints the components of good form—foot-strike, shin and shank angle, stance time, cadence, body lean, and posture—to help you understand where you can make small changes that offer significant improvements.
Then, using a basic video camera or smartphone, you can analyze your own form and apply specific drills and exercises to correct any deficiencies. Numerous photos incorporate lines and arrows to help you clearly identify the appropriate angles and movements of sound technique. No expensive software or biomechanics degree is required to learn how to run faster and with more efficiency and to significantly reduce your risk of injury.
Get rid of those running patterns that hurt performance and destroy running economy. Running Form gives you the knowledge to perfect your running form so you can train consistently and improve with each stride.
AUDIENCE
A guide for serious runners, coaches, and triathletes. Runners who have experienced chronic injuries due to form flaws will appreciate this book.
Robotic-Assisted Surgical Systems for Knee Arthroplasty
Authors: Edge Rob , Farrah Kelly 
Published: March 2022

Overall, there was no consensus in the evidence to indicate that robotic-assisted knee arthroplasty provided any superior clinical effectiveness outcomes when compared to conventional techniques.
No evidence indicated that robot-assisted knee arthroplasty had worse clinical outcomes than conventional techniques. Evidence did support the association of robotic-assisted knee arthroplasty with decreased length of hospital stay and increased operative time.
Further adequately powered studies of short-term and long-term clinical effectiveness for robotic-assisted knee arthroplasty are required to definitively demonstrate any potential benefits for patients requiring knee arthroplasty.
Robotic-assisted knee arthroplasty was consistently modelled as cost-effective when clinical inputs included improved quality of life and reduced rates of surgical revisions when compared with conventional techniques. The clinical effectiveness evidence reviewed in this report was unable to adequately support these clinical inputs as accurate.
Variations of Arctic winter ozone from the LIMS Level 3 dataset
Authors: Remsberg Ellis , Natarajan Murali , Hilsenrath Ernest 
Published: March 2022

Abstract. The Nimbus 7 Limb Infrared Monitor of the Stratosphere (LIMS) instrument operated from 25 October 1978 through 28 May 1979. Its Version 6 (V6)
profiles and their Level 3 or zonal Fourier coefficient products have been
characterized and archived in 2008 and in 2011, respectively. This paper
focuses on the value and use of daily ozone maps from Level 3, based on a
gridding of its zonal coefficients. We present maps of V6 ozone on pressure
surfaces and compare them with several rocket-borne chemiluminescent ozone
measurements that extend into the lower mesosphere. We illustrate how the
synoptic maps of V6 ozone and temperature are an important aid in
interpreting satellite limb-infrared emission versus local measurements,
especially when they occur during dynamically active periods of Northern
Hemisphere winter. A map sequence spanning the minor stratospheric warmings
of late January and early February characterizes the evolution of a low-ozone pocket (LOP) at that time. We also present time series of the
wintertime tertiary ozone maximum and its associated zonally varying
temperatures in the upper mesosphere. These examples provide guidance to
researchers for further exploratory analyses of the daily maps of middle
atmosphere ozone from LIMS.
Monitoring the daily evolution and extent of snow drought
Authors: Hatchett Benjamin J. , Rhoades Alan M. , McEvoy Daniel J. 
Published: March 2022

Abstract. Snow droughts are commonly defined as below-average snowpack at a point in time, typically 1 April in the western United States (wUS).
This definition is valuable for interpreting the state of the snowpack but obscures the temporal evolution of snow drought.
Borrowing from dynamical systems theory, we applied phase diagrams to visually examine the daily evolution of snow water equivalent (SWE) and accumulated precipitation conditions in maritime, intermountain, and continental snow climates in the wUS using station observations as well as spatially distributed estimates of SWE and precipitation.
Using a percentile-based drought definition, phase diagrams of SWE and precipitation highlighted decision-relevant aspects of snow drought such as onset, evolution, and termination. The phase diagram approach can be used in tandem with spatially distributed estimates of daily SWE and precipitation to reveal variability in snow drought type and extent.
When combined with streamflow or other environmental data, phase diagrams and spatial estimates of snow drought conditions can help inform drought monitoring and early warning systems and help link snow drought type and evolution to impacts on ecosystems, water resources, and recreation.
A web tool is introduced allowing users to create real-time or historic snow drought phase diagrams.
Model updating of a wind turbine blade finite element Timoshenko beam model with invertible neural networks
Authors: Noever-Castelos Pablo , Melcher David , Balzani Claudio 
Published: March 2022

Abstract. Digitalization, especially in the form of a digital twin, is fast becoming a key instrument for the monitoring of a product's life cycle from manufacturing to operation and maintenance and has recently been applied to wind turbine blades. Here, model updating plays an important role for digital twins, in the form of adjusting the model to best replicate the corresponding real-world counterpart. However, classical updating methods are generally limited to a reduced parameter space due to low computational efficiency. Moreover, these approaches most likely lack a probabilistic evaluation of the result. The purpose of this paper is to extend a previous feasibility study to a finite element Timoshenko beam model of a full blade for which the model updating process is conducted through the novel approach with invertible neural networks (INNs). This type of artificial neural network is trained to represent an inversion of the physical model, which in general is complex and non-linear. During the updating process, the inverse model is evaluated based on the target model's modal responses. It then returns the posterior prediction for the input parameters. In advance, a global sensitivity study will reduce the parameter space to a significant subset on which the updating process will focus. The finally trained INN excellently predicts the input parameters' posterior distributions of the proposed generic updating problem. Moreover, intrinsic model ambiguities, such as material densities of two closely located laminates, are correctly captured. A robustness analysis with noisy response reveals a few sensitive parameters, though most can still be recovered with equal accuracy. And, finally, after the resimulation analysis with the updated model, the modal response perfectly matches the target values. Thus, we successfully confirmed that INNs offer an extraordinary capability for structural model updating of even more complex and larger models of wind turbine blades.
Partisifasi DKM Bojongloa Dalam Pengembangan Taman Bacaan Masyarakat (TBM) Hibar Endah
Authors: Setiawati  , Febrian Resnawati , Putri Kania Intan , Suryana Anang 
Published: March 2022

Taman Bacaan Masyarakat (TBM) Hibar Endah merupakan salah satu program pendidikan sebagai tindak lanjut dan implementasi program pemerintah yang turut mendukung keberhasilan pembangunan Dunia pendidikan. Pintu masuk mengembangkan budaya literasi khususnya masyarakat Bojongloa melalui penyediaan bahan bacaan dan peningkatan minat baca anak. Beberapa permasalahan TBM Hibar Endah diantaranya adalah, buku bacaan seadanya, lemari buku bacaan (loker) masih belum mencukupi, dan perlu bimbingan dalam pengembangan TBM Hibar Endah. Pengabdian masyarakat ini bertujuan untuk membantu TBM Hibar Endah, yaitu memberi sumbangan buku bacaan, dan menyumbang lemari buku, serta mengadakan sosialisasi pada masyarakat agar mau mendatangi TBM Hibar Endah dan diarahkan untuk gemar membaca sehingga masyarakat tambah wawasan dan melek informasi. Berdasarkan hasil observasi tujuan penulisan jurnal ini adalah membahas tentang program TBM Hibar Endah di Ci Ibu Bojongloa RW 11, Kelurahan Lembursitu, Kecamatan Lembursitu, Kota Sukabumi, Jawa Barat sebagai bentuk partisipasi Dewan Kemakmuran Masjid (DKM) Bojongloa diantaranya berikut ini: Pertama, kerukunan dan keragaman. Kedua, me-regenerasikan. Ketiga, Kerja sama lembaga MI melalui belajar daring. Keempat, kerja sama pimpinan seni Bojongloa (Sagara). Kerja sama melalui pimpinan seni Bojongloa (Sagara) diantaranya sebagai berikut: (1)NGABUKA BANDA ABAH, (2) KUTEMBANG, (3) NGAJAK NGABBRING, dan (4) DIAJAR MANGGUNG. Kelima, faktor pendukung. Keenam, faktor penghambat. Penelitian ini dapat menjadi gambaran pelaksanaan kegiatan kemasyarakatan.
Beginner's Luck that Hertz
Authors: Yona A. Kornsgold  
Published: March 2022

In United States bankruptcies, the absolute priority rule dictates that shareholders recover no value unless creditors are paid in full. Because unsecured creditors are typically not paid in full, shareholders lose their ownership interest and recover little to nothing in bankruptcy. Despite the minuscule chances that debtors’ shareholders will recover their investment in bankruptcy, debtors’ stocks continue to trade in large volume during bankruptcy. Amateur investors, who know little about the small chance of shareholder recovery, buy bankrupt company stock—especially that of well-known public companies trading at low prices—from sophisticated, institutional investors. Consequently, amateur investors can see huge losses during the bankruptcy process, while institutional investors are able to hedge some of their losses from now-insolvent companies.
The current public and private regulatory regimes do not have the authority or desire to protect amateur investors trading bankrupt company stock. This Note proposes that Congress adopt an amendment to the Bankruptcy Code that grants bankruptcy courts a limited power to suspend trading in a company’s stock after the company files for bankruptcy. To trigger this measure, the courts must determine that shareholders are likely to receive little to no value in bankruptcy and that amateur investors will ignorantly purchase such bankrupt company stock. This Note then discusses the proposed amendment and its potential consequences and responds to expected criticisms of the amendment.
Data-driven reduced-order modeling and control of flows with complex chaotic dynamics
Authors: Graham Michael D. 
Published: March 2022

Many fluid flows are characterized by chaotic dynamics, a large number of degrees of freedom, and multiscale structure in space and time. We build on the idea that many dynamical systems that are nominally described by a state variable of very high or infinite dimension – such as the Navier-Stokes equations governing fluid flow – can be characterized with a much smaller number of dimensions, because the long-time dynamics lie on a finite-dimensional manifold. We describe a data-driven reduced order modeling method that finds a coordinate representation of the manifold using an autoencoder and then learns an ordinary differential equation (ODE) describing the dynamics in these coordinates, using the so-called neural ODE framework. With the ODE representation, data can be widely spaced. We apply this framework to spatiotemporal chaos in the Kuramoto-Sivashinsky equation (KSE), chaotic bursting dynamics of Kolmogorov flow, and transitional turbulence in plane Couette flow, finding dramatic dimension reduction while still yielding good predictions of short-time trajectories and long-time statistics. For complex manifolds, this approach can be combined with clustering to generate overlapping local representations that are particularly useful for intermittent dynamics. Finally, we apply this framework to a control problem that models drag reduction in turbulent flow. Deep reinforcement learning (RL) control can discover control strategies for high-dimensional systems, making it promising for flow control. However, a major challenge is that substantial training data must be generated by interacting with the target system, making it costly when the flow system is computationally or experimentally expensive. We mitigate this challenge by obtaining a low-dimensional dynamical model from a limited data set for the open-loop system, then learn an RL control policy using the model rather than the true system. We apply our method to data from the KSE in a spatiotemporally chaotic regime, with aim of minimizing power consumption. The learned policy is very effective at this aim, achieving it by discovering and stabilizing a low-dissipation steady state solution, without having ever been given explicit information about the existence of that solution. Given that near-wall turbulence is organized around simpler recurrent solutions, the present approach might be effective for drag reduction.
Salmonellosis in Wildlife: Diagnosis, Prevention, and Treatment Options for the Zoo Veterinary Technician and Wildlife Rehabilitator
Authors: Brown Michelle H. 
Published: March 2022

Salmonellosis is a common worldwide disease that can affect all animals, including humans. The primary mode of transmission is through direct oral ingestion of contaminated feces or through contaminated food sources. Salmonellae are small, straight, Gram–negative rods whose many serotypes fall into two main categories: those highly adapted to a specific host and those with broad host ranges. The incidence of salmonellosis has increased with the intensification of livestock production where animals are abnormally crowded and stressed. Under these conditions fecal contamination of skin or food supplies can occur. Although these situations rarely occur in natural settings, it is important to note that zoos and rehabilitation facilities can render similar stressful situations. Clinical salmonellosis manifests as primary enteritis and colitis, generalized infection (septicemia), or abortion, and can occur in all stages from peracute to chronic. A positive diagnosis of salmonellosis is based on a fecal culture of the bacteria and observed clinical signs. Salmonella spp. can be spread from wildlife to humans by improper handling of infected animals and is considered a Class 4 nosocomial pathogen. Conversely, there are documented cases in Antarctica and Africa where increasing ecotourism has resulted in higher incidences of salmonellosis in native wildlife. Clinically ill animals can be treated cautiously with an antibiotic and receive supportive care but, in severe cases, the prognosis is guarded. Use of the existing list of recommended husbandry and hygienic actions, along with the ability to detect the signs, will decrease the spread of salmonellosis in wildlife facilities and zoos to those animals under care as well as to the practitioners.
Avian Influenza Surveillance in Wild Birds Presenting to Tri–State Bird Rescue & Research, Inc.
Authors: Altmeier Michael 
Published: March 2022

Public health officials must continue to explore and improve methods for highly pathogenic avian influenza surveillance because of its growing worldwide distribution and ability to adapt to many host species. The sampling of birds presenting to rehabilitation facilities for sickness and injury is a promising, yet underutilized surveillance method. In this cross–sectional prevalence study, designated species presenting to Tri–State Bird Rescue and Research, Inc. (Tri–State), Newark, DE were sampled and the type A isolation prevalence from these birds was compared to results from published studies of healthy free–ranging wild birds. One hundred cloacal swabs from waterfowl, shorebirds, and raptors were submitted for virus isolation and antigen capture ELISA of type A avian influenzaat Dr. Richard Slemons’ laboratory at Ohio State University College of Veterinary Medicine, Department of Preventive Veterinary Medicine. None of the samples submitted were positive for type A avian influenza virus. This limited study suggests that virus prevalence from rehabilitating wild birds is not higher than the prevalence in free–ranging wild birds. This paper describes the methodology used in sampling wild birds present- ing for rehabilitation, the laboratory methods used to identify the presence of type A avian influenza, the results of this study, and implications for future surveillance projects.
La formación de maestros en educación para la primera infancia. Una visión desde un campo discursivo regional y local
Authors: Barrera María Alejandra , Tamayo Lopera Alba Luz , Mazo Mazo Yobana 
Published: March 2022

El presente artículo corresponde al desarrollo de una investigación en educación respecto a los discursos regionales y locales sobre la formación de maestros en Educación para la Primera Infancia. El problema de investigación se plantea a partir de una pregunta formativa, para caracterizar las concepciones y pretensiones de la emergente formación de docentes en Educación para la Primera Infancia, y su impacto en los programas de formación de instituciones de educación superior en Medellín y la política pública local de atención a la Primera Infancia. La metodología se desarrolló a partir del análisis del discurso desde su comprensión epistemológica. Las conclusiones de la investigación se establecen a partir de la caracterización de los discursos en términos de legislación educativa, y de la relación de los discursos de las entidades estatales, en comparación con los discursos de los programas educativos de la ciudad, encargados de la formación de maestros.
Los imaginarios sociales de estudiantes en la lectura de contexto sobre la diversidad poblacional del Tecnológico de Antioquia
Authors: Castillo Ayala Jonathan Andrés 
Published: March 2022

La presente artículo aborda los imaginarios sociales hacia las poblaciones diversas, desde una investigación de tipo explicativa con el objetivo de analizar las tendencias en lectura de contexto que realizan estudiantes de las diferentes facultades del Tecnológico de Antioquia en la comprensión de imaginarios con relación a la diversidad estudiantil y generados en la valoración de la diferencia; llegando a la conclusión que los imaginarios en los estudiantes surgen de la interacción directa y la televisión; se relaciona con nociones positivas y están más concentrados en los indígenas y las personas pertenecientes a culturas urbanas, con la tendencia a sentirse cómodos en la relación con todos y en espacios conjuntos.