bluuebunny/crossref_metadata_2025_split huggingface dataset:
An improved derivation and comprehensive understanding of the equivalent static wind loads of high‐rise buildings with structural eccentricities
Authors: Pan Xiaowang , Song Jie , Qu Wenzhong , Zou Lianghao , Liang Shuguo 
Published: July 2022

SummaryThe trend of constructing high‐rise buildings with irregular structural configurations results in buildings with complicated external wind loads and eccentricities between the mass and stiffness centers, which complicate the assessment of buildings' 3D equivalent static wind load (ESWL). This paper develops an improved method to determine the 3D ESWLs for high‐rise buildings with structural eccentricities. First, the derivation process of each floor's 3D internal force‐based ESWLs, including the mean, background, and resonant components, is described in detail. Then, three typical high‐rise buildings, each with 15 eccentricity cases, are used to demonstrate the proposed method's advantage in the wind resistance design of high‐rise buildings with structural eccentricities, especially in providing reliable along‐height distribution of ESWLs. Finally, systematic analyses are conducted to examine the effects of load‐correlation, structural eccentricity ratio, and building side ratio on the derived 3D ESWLs. The results show that the proposed method provides a reliable along‐height distribution, which helps give an adequate understanding of the ESWLs of high‐rise buildings with structural eccentricities. Some concluding remarks are extracted from the results to show how the load‐correlation, structural eccentricity ratio, and building side ratio affect the ESWLs of high‐rise buildings. The conclusions are valuable references for the wind‐resistant design of high‐rise buildings with structural eccentricities.
Ion Substitution Strategy of Manganese‐Based Layered Oxide Cathodes for Advanced and Low‐Cost Sodium Ion Batteries
Authors: Chang Yu‐Xin , Yu Lianzheng , Xing Xuanxuan , Guo Yu‐Jie , Xie Zhi‐Yu , Xu Sailong 
Published: July 2022

AbstractSodium ion batteries (SIBs) have recently been promising in the large‐scale electric energy storage system, due to the low cost, abundant sodium resources. Mn‐based layered oxide cathode materials have been widely investigated, because of the high theoretical specific capacity, low cost, and abundant reserves. However, their development is limited by the problems of Jahn‐Teller distortion, Na+/vacancy ordering, complex phase transitions, and irreversible anionic redox during cycling. Ion substitution strategy is one simple and effective way to regulate the crystal structure and boost sodium‐storage performances of Mn‐based cathode materials. In this review, we summarize the progress and mechanism of ion‐substituted Mn‐based oxides, establish a composition‐crystal structure‐electrochemical performance relationship, and also offer perspectives for guiding the design of high‐performance Mn‐based oxides for SIBs.
A Fresh Look at Literacy Coaching: Employing a Clinical Literacy Coaching Framework to Improve Literacy Instruction and Student Achievement
Authors: Brieske‐Ulenski Adam , Kelley Michelle J. 
Published: July 2022

AbstractThis article describes the development and implementation of the Clinical Literacy Coaching Framework (CLCF) as a promising practice that was implemented in a large elementary school in the Southeastern part of the United States. The framework was implemented when the school was improving literacy instruction and student achievement. This article shares how a literacy coach used the CLCF, which includes adapted medical teaching practices and coaching rounds, to enact the roles of the literacy coach more effectively as defined by ILA's 2017 Standards. This article also explains how a literacy coach built leadership capacity in the school to support the implementation of the CLCF. Specific examples are shared throughout the article to illustrate the components of the CLCF, including how medical teaching practices with rounds can be used, and to allow for replication.
Ustekinumab treatment in ulcerative colitis: Real‐world data from the Swedish inflammatory bowel disease quality register
Authors: Thunberg Joel , Björkqvist Olle , Hedin Charlotte R. H. , Forss Anders , Söderman Charlotte , Bergemalm Daniel ,   The SWIBREG Study Group, Olén Ola , Hjortswang Henrik , Strid Hans , Ludvigsson Jonas F. , Eriksson Carl , Halfvarson Jonas 
Published: July 2022

AbstractBackgroundReal‐world data on clinical outcomes of ustekinumab in ulcerative colitis are lacking.ObjectiveTo assess short‐ and long‐term clinical outcomes of ustekinumab in ulcerative colitis.MethodsAdult ulcerative colitis patients without previous colectomy starting ustekinumab treatment up until 11 December 2020 were identified through the Swedish Inflammatory Bowel Disease Register (SWIBREG). Prospectively recorded data were extracted from the SWIBREG. The primary outcome was persistence to ustekinumab 16 weeks after treatment initiation. Secondary outcomes included drug persistence beyond week 16, clinical remission (defined as a patient‐reported Mayo rectal bleeding subscore = 0 and stool frequency subscore ≤1), biochemical remission (defined as faecal‐calprotectin <250 μg/g) and changes in health‐related quality of life (HRQoL), as measured by the Short Health Scale (SHS). Logistic regression was used to identify potential predictors of ustekinumab persistence at 16 weeks.ResultsOf the 133 patients with ulcerative colitis, only three were naïve to biologics and tofacitinib. The persistence rates of ustekinumab were 115/133 (86%) at 16 weeks and 89/133 (67%) at last follow‐up, that is, after a median follow‐up of 32 (interquartile range 19–56) weeks. The clinical remission rates were 17% at 16 weeks and 32% at the last follow‐up. The corresponding rates for biochemical remission were 14% and 23%. The median faecal‐calprotectin concentration decreased from 740 μg/g at baseline to 98 μg/g at the last follow‐up (p < 0.01, n = 37). Improvement was seen in each dimension of the SHS between baseline and last follow‐up (p < 0.01 for each dimension, n = 46). Male sex was associated with ustekinumab persistence at 16 weeks (adjusted odds ratio = 4.00, 95% confidence interval: 1.35–11.83).ConclusionIn this nationwide real‐world cohort of ulcerative colitis patients with prior drug failures, including other biologics and tofacitinib, ustekinumab was associated with high drug persistence rates and improvements in clinical, biochemical and HRQoL measures.
Beyond the Traditional: Voluntary Market-Based Initiatives to Promote Land Tenure Security
Authors: Miteva Daniela A. , Fortmann Lea , McNab Roan 
Published: July 2022

AbstractTropical forests in developing countries are important for the provision of global ecosystem services, but also tend to be characterized by weak formal governance, high dependence on natural resource use, and, hence, rapid depletion of natural resources. Depending on the context, informal institutions may be insufficient as well. Focusing on native forests and the Forest Stewardship Council forest management certification scheme, we examine the role of markets and global supply chains as a mechanism for overcoming institutional failures and legitimizing rights to natural resources by rural communities. We posit that, in the absence of effective local institutions, voluntary certification, under certain conditions, can be a viable mechanism for the fair delineation, monitoring, and enforcement of forest property rights in developing countries.
Methods to Advance Understanding of Tenure Security: Impact Evaluation for Rigorous Evidence on Tenure Interventions
Authors: Jones Kelly W. , Blackman Allen , Arriagada Rodrigo 
Published: July 2022

AbstractThe impact of land tenure interventions on sustainable development outcomes is affected by political, social, economic, and environmental factors, and as a result, multiple types of evidence are needed to advance our understanding. This chapter discusses the use of counterfactual impact evaluation to identify causal relationships between tenure security and sustainable development outcomes. Rigorous evidence that tenure security leads to better outcomes for nature and people is thin and mixed. Using a theory of change as a conceptual model can help inform hypothesis testing and promote rigorous study design. Careful attention to data collection and use of experimental and quasi-experimental impact evaluation methods can advance understanding of causal connections between tenure security interventions and development outcomes.
Social Responses to Climate Change in a Politically Decentralized Context: A Case Study from East African History
Authors: Fitzsimons William 
Published: July 2022

AbstractOver the past 3,000 years, speakers of the Ateker family of languages in East Africa chose various strategies to respond to periods of climate change including the end of the African Humid Period and the Medieval Climate Anomaly. Some Ateker people made wholesale changes to food production, adopting transhumant pastoralism or shifting staple crops, while others migrated to wetter lands. All borrowed new economic and social idea from neighbors. These climate-induced changes in turn had profound social and political ramifications marked by an investment in resilient systems for decentralizing power, such as age-classes and neighborhood congresses. By integrating evidence from historical linguistics and oral traditions with paleoclimatological data, this paper explores how a group of stateless societies responded to climate change. It also considers whether these cases complicate concepts such as “collapse” and “resilience” that are derived from analyses of mostly state-centric climate histories.
Lessons for Modern Environmental and Climate Policy from Iron Age South Central Africa
Authors: de Luna Kathryn , Pawlowicz Matthew , Fleisher Jeffery 
Published: July 2022

AbstractHow do we develop effective environmental and climate policy for regions of the world with few—if any—relevant paleoclimate, vegetation, and hydrological reconstructions and, therefore, impoverished models of the environmental and human impacts of future climate change? What if such regions are in countries with limited financial, institutional, or instrumental infrastructure to generate those records? Research in historical disciplines offer direct and indirect evidence of the relationships between societal change and past environmental and climate change, without resorting to bald instrumentalism, but, as this study shows, we need to broaden our historical toolkit if we are to develop such work in regions of the world where oral cultures and less monumental, less permanent material cultural traditions prevailed.
Success and Failure in the Norse North Atlantic: Origins, Pathway Divergence, Extinction and Survival
Authors: Jackson Rowan , Arneborg Jette , Dugmore Andrew , Harrison Ramona , Hartman Steven , Madsen Christian , Ogilvie Astrid , Simpson Ian , Smiarowski Konrad , McGovern Thomas H. 
Published: July 2022

AbstractIn this chapter, we examine the iconic disappearance of the Medieval Norse Greenlanders and use qualitative scenarios and counterfactual analysis to produce lessons for policymakers. We stress the role that archaeologists and historians have in adding context to contemporary social and environmental challenges and use human-environmental histories as ‘natural experiments’ with which to test scenarios. Rather than drawing direct analogies with discrete historical case studies such as Norse Greenland, such cases form complete experiments with which to ask ‘what if’ questions and learn from a range of real (retrofactual) and alternative (counterfactual) scenarios. By testing a range of scenarios associated with climate impacts and adaptive strategies, evidence from the past might be used to learn from unanticipated changes and build a better understanding of theory and concepts, including adaptation and vulnerability, and their application to the present. The Norse Greenland case study illustrates an important lesson for climate change adaptation scenarios; even a highly adaptive society can, over the course of several centuries, reach limits to adaptation when exposed to unanticipated social and environmental change.
What Stories Should Historians Be Telling at the Dawn of the Anthropocene?
Authors: Izdebski Adam 
Published: July 2022

AbstractThis chapter discusses the ways in which history can contribute to coping with the current planetary crisis. It argues that historians should engage more in interdisciplinary exchange across the humanities-natural sciences divide. Thus they will be able to create historical narratives fitting for the Anthropocene—both in terms of explaining it and shaping our responses to it, in particular to the acute planetary crisis that marks its advent. At the same time, history should not give up its drive to critically dissect and analyse socio-political, economic, cultural and ecological change, contributing to developing balanced and resilient public policy.
The Digital Earth Project: Focus and Agenda
Authors: Ruhnke Roland , Rechid Diana , Dransch Doris , Bouwer Laurens M. , Brix Holger , Dietrich Peter , Frickenhaus Stephan , Greinert Jens , Henkel Daniela , Petzold Andreas , zu Castell Wolfgang 
Published: July 2022

AbstractDigital Earth is a project funded by the German Helmholtz Association with all centers of the research field Earth and Environment involved. The main goal of the Digital Earth project is to develop and bundle data science methods in extendable and maintainable scientific workflows that enable natural scientists in collaboration with data scientists to achieve a deeper understanding of the Earth system. This has been achieved by developing solutions for data analysis and exploration with visual and computational approaches with data obtained in a SMART monitoring approach and modeling studies, accompanied by a continuous evaluation of the collaboration processes. In this chapter, the history, setup, and focus of the Digital Earth project are described.
Data Analysis and Exploration with Visual Approaches
Authors: González Ávalos Everardo , Dransch Doris , Abraham Nicola , Buck Valentin , Eggert Daniel , Kwasnitschka Tom , Rabe Daniela , Stäbler Flemming , Wichert Viktoria 
Published: July 2022

AbstractA comprehensive study of the Earth system and its related processes requires a holistic examination and understanding of multidimensional data acquired with a large number of different sensors or produced by various models. To this end, the Digital Earth project developed a set of software solutions to study environmental data sets using visual approaches. In the following chapter, we present three data visualization products developed to deal with the challenges of the analysis and exploration of environmental data.
Data Analysis and Exploration with Scientific Workflows
Authors: Dransch Doris , Eggert Daniel , Abraham Nicola , Bouwer Laurens M. , Brix Holger , Callies Ulrich , Kalbacher Thomas , Lüdtke Stefan , Merz Bruno , Nam Christine , Nixdorf Erik , Rabe Daniela , Rechid Diana , Schröter Kai , Tiedje Bente , Wendi Dadiyorto , Wichert Viktoria 
Published: July 2022

AbstractGeoscientific data analysis has to face some challenges regarding seamless data analysis chains, reuse of methods and tools, interdisciplinary approaches and digitalization. Computer science and data science offer concepts to face these challenges. We took the concepts of scientific workflows and component-based software engineering and adapted it to the field of geoscience. In close collaboration of computer and geo-experts, we set up an expedient approach and technology to develop and implement scientific workflows on a conceptual and digital level. We applied the approach in the showcase “Cross-disciplinary Investigation of Flood Events” to introduce and prove the concepts in our geoscientific work environment, and assess how the approach tackles the posed challenges. This is exemplarily demonstrated with the Flood Event Explorer which has been developed in Digital Earth.
The Digital Earth Smart Monitoring Concept and Tools
Authors: Koedel Uta , Dietrich Peter , Fischer Philipp , Greinert Jens , Bundke Ulrich , Burwicz-Galerne Ewa , Haas Antonie , Herrarte Isabel , Haroon Amir , Jegen Marion , Kalbacher Thomas , Kennert Marcel , Korf Tobias , Kunkel Ralf , Kwok Ching Yin , Mahnke Christoph , Nixdorf Erik , Paasche Hendrik , González Ávalos Everardo , Petzold Andreas , Rohs Susanne , Wagner Robert , Walter Andreas 
Published: July 2022

AbstractReliable data are the base of all scientific analyses, interpretations and conclusions. Evaluating data in a smart way speeds up the process of interpretation and conclusion and highlights where, when and how additionally acquired data in the field will support knowledge gain. An extended SMART monitoring concept is introduced which includes SMART sensors, DataFlows, MetaData and Sampling approaches and tools. In the course of the Digital Earth project, the meaning of SMART monitoring has significantly evolved. It stands for a combination of hard- and software tools enhancing the traditional monitoring approach where a SMART monitoring DataFlow is processed and analyzed sequentially on the way from the sensor to a repository into an integrated analysis approach. The measured values itself, its metadata, and the status of the sensor, and additional auxiliary data can be made available in real time and analyzed to enhance the sensor output concerning accuracy and precision. Although several parts of the four tools are known, technically feasible and sometimes applied in Earth science studies, there is a large discrepancy between knowledge and our derived ambitions and what is feasible and commonly done in the reality and in the field.
Orchestrating Heterogeneous Applications: Motivation and State of the Art
Authors: Di Nitto Elisabetta , Vladušič Daniel 
Published: July 2022

AbstractThis chapter presents the motivation for SODALITE highlighting the difficulties faced by developers of complex applications when they need to deploy such applications in execution contexts where the usage of heterogeneous resources (HPC, Cloud and Edge) coexist. An overview of the state of the art to highlight gaps and open issues is also presented.
SODALITE Use Cases
Authors: Pita Costa Joao , Fraternali Piero , Meth Kalman , Mundt Paul , Quattrocchi Giovanni , Schneider Ralf , Tokmakov Kamil , Torres Rocio Nahime 
Published: July 2022

AbstractThis chapter describes the various use cases of the SODALITE project in more detail. Each use case is representative of a unique infrastructure and operational environment supported by SODALITE: Snow (Cloud/OpenStack), Clinical Trials (HPC/Torque), and Vehicle IoT (Cloud + Edge / Kubernetes). Each section includes an overview of the specific challenges faced by the use case, an overview of the use case system architecture, target infrastructure, and operational environment, followed by ways in which the SODALITE approach was successfully applied to address the unique challenges of the use case. Each section concludes with a brief review of the benefits that the use case achieved through the application of SODALITE.
The Wilson loop — large spin OPE dictionary
Authors: Bercini Carlos , Gonçalves Vasco , Homrich Alexandre , Vieira Pedro 
Published: July 2022

Abstract
We work out the map between null polygonal hexagonal Wilson loops and spinning three point functions in large N conformal gauge theories by mapping the variables describing the two different physical quantities and by working out the precise normalization factors entering this duality. By fixing all the kinematics we open the ground for a precise study of the dynamics underlying these dualities — most notably through integrability in the case of planar maximally supersymmetric Yang-Mills theory.
$${\text {UMD}}$$-Extensions of Calderón–Zygmund Operators with Mild Kernel Regularity
Authors: Airta Emil , Martikainen Henri , Vuorinen Emil 
Published: July 2022

AbstractArmed with new methods we revisit a result of Figiel concerning the $${\text {UMD}}$$
UMD
-extensions of linear Calderón–Zygmund operators with mild kernel regularity and then extend our new proof to the multilinear setting improving recent $${\text {UMD}}$$
UMD
-valued estimates of multilinear singular integrals.
Management einer mehrfragmentären Glenoidfraktur
Authors: Tenfelde Oliver , Karwatzke Andreas , Kappel Paola , Balke Maurice , Wafaisade Arasch 
Published: July 2022

ZusammenfassungEs wird der Fall eines 65-jährigen Patienten geschildert, welcher sich nach einem Sturz aus 2 m Höhe eine mehrfragmentäre Glenoidfraktur zuzog. Die Krafteinwirkung auf den angelegten Arm führte zur vollständigen y‑förmigen Gelenkdestruktion mit großem posteroinferioren und einem großen anteroinferioren Glenoidfragment. Die Operation bestand in einer 2‑zeitigen Technik aus offenem und arthroskopischem Verfahren. So folgte zunächst die offene Osteosynthese eines Fragmentes von dorsal mittels Schraubenosteosynthese. Vier Wochen später wurde die arthroskopische Refixation des anterioren Glenoidfragmentes im Sinne einer knöchernen Bankart-Läsion mittels Zielinstrumentarium und Endobutton®-Fixation durchgeführt.Mehrfragmentäre Glenoidfrakturen des Ideberg-Typs 6 sind selten und sollten insbesondere bei großer Gelenkstufe, Instabilität im Glenohumeralgelenk und jüngeren Patienten operativ versorgt werden. Bei fehlender Handlungsempfehlung in der Literatur sind individuelle Operationsstrategien erforderlich.
Assessing the response to genomic selection by simulation
Authors: Buntaran Harimurti , Bernal-Vasquez Angela Maria , Gordillo Andres , Sahr Morten , Wimmer Valentin , Piepho Hans-Peter 
Published: July 2022

Abstract
Key message
We propose a simulation approach to compute response to genomic selection on a multi-environment framework to provide breeders the number of entries that need to be selected from the population to have a defined probability of selecting the truly best entry from the population and the probability of obtaining the truly best entries when some top-ranked entries are selected.

Abstract
The goal of any plant breeding program is to maximize genetic gain for traits of interest. In classical quantitative genetics, the genetic gain can be obtained from what is known as “Breeder’s equation”. In the past, only phenotypic data were used to compute the genetic gain. The advent of genomic prediction (GP) has opened the door to the utilization of dense markers for estimating genomic breeding values or GBV. The salient feature of GP is the possibility to carry out genomic selection with the assistance of the kinship matrix, hence improving the prediction accuracy and accelerating the breeding cycle. However, estimates of GBV as such do not provide the full information on the number of entries to be selected as in the classical response to selection. In this paper, we use simulation, based on a fitted mixed model for GP in a multi-environmental framework, to answer two typical questions of a plant breeder: (1) How many entries need to be selected to have a defined probability of selecting the truly best entry from the population; (2) what is the probability of obtaining the truly best entries when some top-ranked entries are selected.