bluuebunny/crossref_metadata_2025_split huggingface dataset:
Uncertainty in Shear-Wave Velocity Profiles
Authors: Toro Gabriel R. 
Published: March 2022

AbstractThis paper considers the uncertainty in the shear wave velocity (Vs) of soil and rock profiles for use in earthquake site response calculations. This uncertainty is an important contributor to uncertainty in site response, which in turn is an important contributor to uncertainty in earthquake ground motions and in seismic hazard. The paper begins with a discussion of the different types of uncertainty and how they are characterized in probabilistic seismic hazard analysis, and how this differentiation is particularly ambiguous in the case of soil properties. This is followed by a description of the probabilistic models of Vs that are most commonly used in engineering practice, for both generic and site-specific applications. In site-specific applications, the uncertainty in Vs (which is measured by the logarithmic standard deviation or by the coefficient of variation of Vs) is lower than in generic applications, but other elements of the profile model are also different. Next, the paper discusses the issues that arise in characterizing the uncertainty in Vs in site-specific applications using non-invasive surface wave methods and summarizes the insights obtained by comparing the results from multiple blind studies in which the same surface-wave data (and no other site-specific data) were provided to multiple teams of analysts. Finally, the paper provides recommendations on how to characterize uncertainty in Vs for both generic and site-specific applications.
Viral Law: Life, Death, Difference, and Indifference from the Spanish Flu to Covid-19
Authors: Featherstone Mark 
Published: March 2022

AbstractWhat is viral law? In order to being my discussion, I note that the last two years have been extremely difficult to understand and that we, meaning those who have lived through the pandemic, have struggled to make sense. Thus, I make the argument that the virus has impacted upon not only the individual’s ability to make sense in a world where every day routines have been upended, but also social and political structures that similarly rely on repetition to continue to function. According to this thesis, Covid-19 is more than simply a biological organism, but also a cultural virus that undermines the organisation of social, political, and economic systems and requires new ways of thinking about how we might move forward into a post-Covid world. In the name of beginning this project of making sense of Covid-19, I track back in history to the comparable reference point of the Spanish flu pandemic of 1918–1920 and, in particular, a reading of Freud’sBeyond the Pleasure Principle, which the founder of psychoanalysis wrote in the shadow of the virus. In reading Freud’s attempt to write a psychology of death in the context of this funereal period of history, I argue that he set out first, a mythological theory of viral law concerned with the death drive, before turning to second, a techno-scientific, biological theory of the same (viral) law characterised by microbial immortality. Beyond this exploration ofBeyond the Pleasure Principle, in the third part of the article I turn to a reading of Lacan’s interpretation of Freud’s work, where viral law becomes a story of cybernetics and nihilistic mechanisation. Here, perfect mechanisation, and the endless oscillation between message and noise, looks a lot like living death. Finally, I take up Derrida’s critique of Jacob’s molecular biology and, by extension, Freud’s theory of microbial immorality, that he thinks privileges an idea of repetitive sameness and opens up a space for cultural politics concerned with immunity against otherness. Derrida’s key point here is that this biological fantasy ignores the reality of viral sex that enables evolution to happen. What this means is that the other, even in its microbial form, is ever present, and that we must recognise the importance of difference to the possibility of social, political, and economic change.
Evaluation of [18F]F-DPA PET for Detecting Microglial Activation in the Spinal Cord of a Rat Model of Neuropathic Pain
Authors: Shimochi Saeka , Keller Thomas , Kujala Ella , Khabbal Joonas , Rajander Johan , Löyttyniemi Eliisa , Solin Olof , Nuutila Pirjo , Kanaya Shigehiko , Yatkin Emrah , Grönroos Tove J. , Iida Hidehiro 
Published: March 2022

Abstract

Purpose
Recent studies have linked activated spinal glia to neuropathic pain. Here, using a positron emission tomography (PET) scanner with high spatial resolution and sensitivity, we evaluated the feasibility and sensitivity of N,N-diethyl-2-(2-(4-([18F]fluoro)phenyl)-5,7-dimethylpyrazolo[1,5-a] pyrimidin-3-yl)acetamide ([18F]F-DPA) imaging for detecting spinal cord microglial activation after partial sciatic nerve ligation (PSNL) in rats.

Procedures
Neuropathic pain was induced in rats (n = 20) by PSNL, and pain sensation tests were conducted before surgery and 3 and 7 days post-injury. On day 7, in vivo PET imaging and ex vivo autoradiography were performed using [18F]F-DPA or [11C]PK11195. Ex vivo biodistribution and PET imaging of the removed spinal cord were carried out with [18F]F-DPA. Sham-operated and PK11195-pretreated animals were also examined.

Results
Mechanical allodynia was confirmed in the PSNL rats from day 3 through day 7. Ex vivo autoradiography showed a higher lesion-to-background uptake with [18F]F-DPA compared with [11C]PK11195. Ex vivo PET imaging of the removed spinal cord showed [18F]F-DPA accumulation in the inflammation site, which was immunohistochemically confirmed to coincide with microglia activation. Pretreatment with PK11195 eliminated the uptake. The SUV values of in vivo [18F]F-DPA and [11C]PK11195 PET were not significantly increased in the lesion compared with the reference region, and were fivefold higher than the values obtained from the ex vivo data. Ex vivo biodistribution revealed a twofold higher [18F]F-DPA uptake in the vertebral body compared to that seen in the bone from the skull.

Conclusions
[18F]F-DPA aided visualization of the spinal cord inflammation site in PSNL rats on ex vivo autoradiography and was superior to [11C]PK11195. In vivo [18F]F-DPA PET did not allow for visualization of tracer accumulation even using a high-spatial-resolution PET scanner. The main reason for this result was due to insufficient SUVs in the spinal cord region as compared with the background noise, in addition to a spillover from the vertebral body.
The Combined Oral Stable Isotope Assessment of Muscle (COSIAM) reveals D-3 creatine derived muscle mass as a standout cross-sectional biomarker of muscle physiology vitality in older age
Authors: Cegielski Jessica , Brook Matthew S. , Phillips Bethan E. , Boereboom Catherine , Gates Amanda , Gladman John F. R. , Smith Kenneth , Wilkinson Daniel J. , Atherton Philip J. 
Published: March 2022

AbstractValidated diagnostics of skeletal muscle vitality could benefit clinical and basic science in terms of mechanistic insights and in determining the efficacy of interventions, e.g. exercise/pharmaceuticals/nutrients. We recently developed a Combined Oral Assessment of Muscle (COSIAM) that can be used to simultaneously quantify whole-body muscle mass (WBMM), muscle protein synthesis (MPS) and muscle protein breakdown (MPB). Here, we aimed to establish, in a cross-sectional fashion, links between COSIAM parameters and established aspects of muscle function. We recruited 37 healthy older adults (male (M):female (F) (21/16); 72 ± 5 y)) into a 3-day trial. Subjects consumed D3-creatine (D3-Cr dilution to assess WBMM), D2O (MPS by incorporation of alanine) and D3-3-methylhistidine (D3-MH dilution to assess MPB). A biopsy at day 3 was used to determine MPS, and blood/urine samples were collected to determine D3-Cr/D3-MH dilution for WBMM and MPB. Physiological measures of muscle mass (e.g. DXA/ultrasound) and function (e.g. handgrip strength, maximum voluntary contraction (MVC), one-repetition maximum (1-RM)) were ascertained. A stepwise linear regression approach was used to address links between facets of COSIAM (MPS, MPB, WBMM) and muscle physiology. Despite expected differences in muscle mass, there were no significant differences in MPS or MPB between sexes. WBMM as measured using D3-Cr positively correlated with DXA-derived lean body mass (LBM) and appendicular LBM (ABLM). Stepwise linear regression was used to assess which combination of MPS, MPB, D3-Cr and absolute synthesis rate (ASR) best predicted physiological measures of muscle health in these older adults. D3-Cr WBMM alone was the best predictor of handgrip, 1RM and MVC, and outperformed more traditional measures of muscle mass by DXA. The COSIAM approach substantiates D3-Cr as a robust biomarker of multiple muscle physiology health biomarkers. Future work using COSIAM should focus upon how and which parameters it can inform upon in relation to disease progression and the efficacy of interventions.
Large-Scale Test Facility for Modeling Bubble Behavior and Liquid Metal Two-Phase Flows in a Steel Ladle
Authors: Wondrak Thomas , Timmel Klaus , Bruch Christian , Gardin Pascal , Hackl Gernot , Lachmund Helmut , Lüngen Hans Bodo , Odenthal Hans-Jürgen , Eckert Sven 
Published: March 2022

AbstractA new experimental facility has been designed and constructed which represents a 1:5.25 model of an industrial 185 t steel ladle. This setup is intended for systematic investigations of complex liquid metal multiphase flows created by gas blowing from the bottom. Two tons of a Sn-40 wt pct Bi alloy are employed as working fluid, its thermophysical properties are very similar to those of liquid steel. The relatively low operating temperatures (T~ 200 °C) compared to the real industrial process allow the use of powerful measuring techniques for characterizing the behavior of the gas phase and resulting flow regimes. Argon gas is injected through diverse plug systems into a cylindrical fluid vessel which is equipped with a pressure tight lid to achieve low-pressure conditions for vacuum processing. This paper presents first measurements of the gas distribution close to the free liquid metal surface for various gas flow rates, plug positions and types. Moreover, the pressure in the vessel has been varied between 1 mbar and ambient pressure. The experiments provide a copious data base about flow regimes, void fraction, liquid and bubble velocities, and bubble properties, which can be used to provide so far unknown boundary conditions for numerical simulations of various metallurgical reactors such as steelmaking converters or steelmaking ladles.
A GIS-supported Multidisciplinary Database for the Management of UNESCO Global Geoparks: the Courel Mountains Geopark (Spain)
Authors: Ballesteros Daniel , Caldevilla Pablo , Vila Ramón , Barros Xosé Carlos , Rodríguez-Rodríguez Laura , García-Ávila Manuel , Sahuquillo Elvira , Llorente Miguel , Diez José Bienvenido , Fuertes-Fuente Mercedes , Timón-Sánchez Susana M. , de Lombera-Hermida Arturo , Álvarez Iván , Pérez-Cáceres Irene , Acebo Manuel , Orche Amaré Pilar , García J. Horacio , Martín-González Fidel , Alemparte Martín 
Published: March 2022

AbstractThe management of a UNESCO Global Geopark (UGGp) requires a vast wealth of miscellaneous scientific knowledge that can be successfully organised using a Geographical Information System (GIS). This paper presents a pragmatic GIS database to assist in the suitable governance of the Courel Mountains UGGp (2017) in Northwest Spain. The database is structured in 66 coverages compiled from public sources and previous works or produced through traditional mapping (combining fieldwork and photointerpretation) and GIS tools. The acquired data was later homogenised and validated by a multidisciplinary team and archived in independent coverages. Forty thematic maps illustrate the broad range of cartographic information included in the GIS database. Among them, 25 basic maps provide an overview of the UGGp and 15 new maps focus on crosscutting and technical issues. All maps illustrate the huge potential of GIS to create new resources combining coverages and adapting the legend according to their purpose and audience. The database facilitates the suitable publishing of consistent outputs (e.g., brochures, books, panels, webpages, web serves), as well as the elaboration of technical data to assist the park management. The database furnishes information on the design of education actions, touristic routes, activities and Geopark facilities. The GIS database is also a supportive tool for scientific research and provides the necessary knowledge to conduct geoconservation actions based on land use, geological hazards and the occurrence of natural and cultural heritages. Altogether, the GIS database constitutes a powerful instrument for policy-making, facilitating the identification and evaluation of alternative strategy plans.
RL based hyper-parameters optimization algorithm (ROA) for convolutional neural network
Authors: Talaat Fatma M. , Gamel Samah A. 
Published: March 2022

AbstractMany real-world applications necessitate optimization in dynamic situations, where the difficulty is to locate and follow the optima of a time-dependent objective function. To solve dynamic optimization problems (DOPs), many evolutionary techniques have been created. However, more efficient solutions are still required. Recently, a new intriguing trend in dealing with optimization in dynamic environments has developed, with new reinforcement learning (RL) algorithms predicted to breathe fresh life into the DOPs community. In this paper, a new Q-learning RL-based optimization algorithm (ROA) for CNN hyperparameter optimization is proposed. Two datasets were used to test the proposed RL model (MNIST dataset, and CIFAR-10 dataset). Due to the use of RL for hyperparameter optimization, very competitive results and good performance were produced. From the experimental results, it is observed that the CNN optimized by ROA has higher accuracy than CNN without optimization. When using the MNIST dataset, it is shown that the accuracy of the CNN optimized by ROA when learning 5 epoch is 98.97%, which is greater than the 97.62% of the CNN without optimization. When using the CIFAR-10 dataset, it is shown that the accuracy of the CNN optimized by ROA when learning 10 epoch is 73.40 percent, which is greater than 71.73% of the CNN without optimization.
Constant power threshold—predicting maximal lactate steady state in recreational cyclists
Authors: Vobejda Christian , Wortmann Tim , Zimmermann Elke 
Published: March 2022

Abstract
Introduction
Prolonged time trials proved capable of precisely estimating anaerobic threshold. However, time trial studies in recreational cyclists are missing. The aim of the present study was to evaluate accuracy and viability of constant power threshold, which is the highest power output constantly maintainable over time, for estimating maximal lactate steady state in recreational athletes.

Methods
A total of 25 recreational athletes participated in the study of whom 22 (11 female, 11 male) conducted all constant load time trials required for determining constant power threshold 30 min and 45 min, which is the highest power output constantly maintainable over 30 min and 45 min, respectively. Maximal lactate steady state was assessed subsequently from blood samples taken every 5 min during the time trials.

Results
Constant power threshold over 45 min (175.5 ± 49.6 W) almost matched power output at maximal lactate steady state (176.4 ± 50.5 W), whereas constant power threshold over 30 min (181.4 ± 51.4 W) was marginally higher (P = 0.007, d = 0.74). Interrelations between maximal lactate steady state and constant power threshold 30 min and constant power threshold 45 min were very close (R2 = 0.99, SEE = 8.9 W, Percentage SEE (%SEE) = 5.1%, P < 0.001 and R2 = 0.99, SEE = 10.0 W, %SEE = 5.7%, P < 0.001, respectively).

Conclusions
Determination of constant power threshold is a straining but viable and precise alternative for recreational cyclists to estimate power output at maximal lactate steady state and thus maximal sustainable oxidative metabolic rate.
Successful teaching practices for english language learners in multilingual mathematics classrooms: a meta-analysis
Authors: Sharma Shweta , Sharma Sashi 
Published: March 2022

AbstractDue to rapid immigration, many children worldwide are learning mathematics in a second or additional language. This language diversity can be challenging for both teachers and students and carries profound implications for mathematics educators. Research shows that teachers use various ways to support English Language Learners. Research on multilingualism in mathematics classrooms has often focused on qualitative research. This meta-analysis aims to explore the statistically effective successful teaching practices from the studies using quantitative or mixed-method research approaches and aims to inform the research field in a cumulative manner. The specific research question that guided this meta-analysis is: What is the evidence regarding successful teaching of mathematics for Year 1–10 English Language Learners from 2009–2019 in countries where curricula are delivered predominantly in English? Four successful intervention categories were identified: Dual Language Programmes, Curriculum integration, Teacher Professional Development, and Cognitively Focused Interventions. The paper concludes with recommendations for practice and further research in this area.
Osseointegration Amputation Reconstruction
Authors: Reif Taylor J. , Jacobs Donya , Fragomen Austin T. , Rozbruch S. Robert 
Published: March 2022

Abstract

Purpose of Review
To review the topic of osseointegration amputation reconstruction, which inserts a transcutaneous metal implant into the remaining intramedullary bone of a person with an amputation to facilitate a direct bone-anchored connection to an external prosthesis, eliminating the molded socket interface.

Recent Findings
Evidence continues to build that patients function better and have a higher quality of life with osseointegration implants compared with traditional socket prosthetics. The indications for osseointegration are expanding to additional patient populations and the long-term outcomes available are favorable which supports the continued refinement and utilization of the technology.

Summary
Osseointegration implants offer people with amputations freedom from burdensome socket prosthetics while improving function and quality of life. Mild infections at the skin interface are common but managed effectively with oral antibiotics and rarely lead to deep infection and implant removal. Other serious complications like hip or implant fracture are also uncommon. Additional long-term outcomes are needed along with technologic refinements, especially at the skin implant interface.
Graphene for Zirconia and Titanium Composites in Dental Implants: Significance and Predictions
Authors: Özcan Mutlu , Volpato Claudia Angela Maziero , Hian Lucas , Karahan Billur Deniz , Cesar Paulo Francisco 
Published: March 2022

Abstract
Purpose of Review
Graphene is introduced in dentistry as a material to be used in the fabrication or coating of dental implants due to its biocompatibility, ability to physically interact with biomolecules and very high surface area. This review highlights the current knowledge on the general properties of graphene, potential benefits especially when used in zirconia-based implants, as composite materials and coatings.

Recent Findings
The literature reviewed showed a growing body of evidence supporting the use of graphene-based material, associated with titanium or zirconia as a coating or composite material that helps in cell viability, differentiation and proliferation, improving the bioactivity, osseointegration, physical, chemical and mechanical properties particularly zirconia. Graphene-based materials present great potential for biomedical applications especially when used in the form of nanostructured biological coatings that can be obtained through reproducible and economical processes.

Summary
The use of graphene as a composite implant material or coating may have great potential for osseointegration and bone regeneration, providing that, features including hydrophilicity, protein adsorption capacity, oxygen content and effect of external parameters such as temperature, pH and ionic strength need further elucidations before they can be implemented as a coating or composite material for dental implants.
Carbon mechanism on sustainable multi-objective solid transportation problem for waste management in Pythagorean hesitant fuzzy environment
Authors: Ghosh Shyamali , Küfer Karl-Heinz , Roy Sankar Kumar , Weber Gerhard-Wilhelm 
Published: March 2022

AbstractWaste management involved in various fields of global ecosystem that provides several positive effects for green environment and sustainable development. We devise a multi-objective solid transportation model of waste management problem in agriculture field and forest department for urban or rural development. Starting to end point of the problem covered by considering the objective functions as transportation cost, job opportunity and carbon emission. Carbon emission is restricted by the combination of several policies of carbon mechanism (carbon tax, cap-and-trade and offset policy). Various critical sitchs appear in such realistic process and uncertainty attached with related data. Here we prefer Pythagorean hesitant fuzzy environment to overcome deep uncertainty rather than single uncertainty. After that, we initiate a ranking approach to convert uncertain data into crisp data. To justify the appropriateness of the formulated model and to select the best policy of carbon mechanism, we study two industrial applications with various cases of such mechanism. To derive the Pareto-optimal solution of the problems, two fuzzy techniques, namely, fuzzy programming and Pythagorean hesitant fuzzy programming, are utilized here. Comparative study, model validation, sensitivity analysis, managerial insights and conclusions with future research scopes are outlined at last.
Universal Design for Learning - A framework for inclusion in Outdoor Learning
Authors: Kelly Orla , Buckley Karen , Lieberman Lauren J. , Arndt Katrina 
Published: March 2022

AbstractThis article proposes the application of the principles of Universal Design for Learning (UDL) as a framework for promoting inclusion in outdoor learning in primary school settings. The authors conceptualise outdoor learning, highlighting the potential for more child-initiated experiential learning. Yet this paper is not concerned only with outdoor learning, but with the inclusion of all learners in outdoor learning, through enactment of the curriculum in mainstream schooling. The diverse profile of children in primary schools calls on teachers to prepare teaching, learning and assessment activities to address a wide range of social, emotional, physical, cognitive and cultural needs. Contemporary researchers recognise outdoor learning as an effective pedagogy to promote inclusion and therefore reduce the barriers for full participation in the primary classroom. UDL is offered as a framework for planning outdoor learning to support delivery of curricula that are responsive to the needs of all learners. UDL is underpinned by three principles: multiple means of engagement, representation, expression and action. Two vignettes are shared to illustrate how these principles can be applied to outdoor learning in a meaningful and sustained way. The article highlights the benefits for teachers and learners of applying UDL principles to outdoor learning to promote inclusion in the diverse primary class.