bluuebunny/crossref_metadata_2025_split huggingface dataset:
Functional Binocular Vision: Toward a Person-Centered Metric
Authors: Powers Maureen , Fisher William P. 
Published: December 2022

AbstractA research program investigating correctable issues in Functional Binocular Vision (FBV) related optometric variables to responses from a symptom survey and reading test results. The study was mounted with no explicit attention to measurement modeling. Data from this research program were retrospectively analyzed with the aims of evaluating the potential for learning from the existing observations, and for improving the study design in future iterations. Results suggest that the physical and psychological measurements of vision combine into a model of FBV that could be standardized and deployed for use in diagnosing significant numbers of untreated vision problems negatively impacting learning outcomes.
Studying Expertise Online
Authors: Egher Claudia 
Published: December 2022

AbstractThis chapter discusses the paradoxical position that expertise has come to occupy nowadays, as it is both ubiquitous and very much challenged. It highlights how the Internet has contributed to these developments and provides a brief overview of the main theoretical perspectives developed on expertise in science and technology studies (STS). A new conceptualization of expertise is subsequently put forward. It is suggested that expertise is a practical achievement, realized though coordination and affective labor among stakeholders who occupy multiple and shifting positions across a complex ecosystem.
Online Expert Mediators: Expanding Interactional Expertise
Authors: Egher Claudia 
Published: December 2022

AbstractThis chapter shows that the Internet does not always favor the powerful, but this still does not mean that it is democratizing. It traces the online activities of two bloggers diagnosed with bipolar disorder using the concept of interactional expertise (Collins & Evans, 2002). I argue that by combining medical knowledge with their situated experiences and the affordances of blogs, these bloggers have become a new type of stakeholder, “online expert mediators.” The notion of interactional expertise is extended by illustrating the relevance of the medium through which interactional expertise is performed and by showing that it has a substantial bi-directional character.
Digital Biocommunities: Solidarity and Lay Expertise About Bipolar Disorder
Authors: Egher Claudia 
Published: December 2022

AbstractThis chapter shows that despite an increased focus on individualization in the provision of mental healthcare, people diagnosed with bipolar disorder perform solidarity online, which encourages the development of lay expertise. The role of affective labor in epistemic practices is highlighted in this chapter, as it is argued that it facilitates the sharing of intimate information and the development of new collectives. The notion of digital biocommunities is put forward to denote a new type of subgroup, which emerges not only based on a common diagnosis, life circumstances, experiences, and values, but also based on similar engagements with digital technologies.
Designing Allocation Rules in Economic Problems
Authors: Kasajima Yoichi 
Published: December 2022

AbstractHow should we divide a resource among a group of agents who have conflicting claims for it? A typical example is the bankruptcy problem: The liquidation value of a bankrupt firm must be divided among creditors. An alternative example with the same mathematical structure is the taxation problem: The cost of some public projects must be collected by a government through taxing incomes. An awards vector determines the division of the resource among the agents. An allocation rule, or simply a rule, is a function that associates an awards vector to each problem of this kind. Our goal is to construct “good” rules. By that, we intend to learn how to achieve one of the Sustainable Development Goals (SDGs) (Goal 16: Peace, Justice and Strong Institutions). In our study of rules, we follow the axiomatic approach. That is, we (i) formulate rules (mathematically), (ii) introduce “desirable” properties of rules (called axioms), and (iii) study those implications (e.g., identify rules that satisfy those properties). We present some well-known characterization results based on the properties analyzed.
Reconstruction Under Nuclear Disaster and Making Resilient Society in Fukushima
Authors: Matsuoka Shunji 
Published: December 2022

AbstractThis chapter examinesthe “Balancing Reconstruction with Decommissioning” problem of reviving Fukushima from a double disaster called the Great East Japan Earthquake and the 1F (Fukushima Daiichi Nuclear Power Plant) nuclear disaster. This issue is a typical case of sustainability and resilience in the twenty-first century in the century of the disaster. First, this paper discusses that it is the reconstruction policy of the declining and aging population with the creative reconstruction in a century, the twenty-first century of the disaster in Japan. This paper then examines the reconstruction policy from the Great East Japan Earthquake and the way of the Fukushima nuclear accident processing before establishing “incompleteness of the nuclear crisis response and surplus of the Great Earthquake disaster reconstruction policy.” Finally, this paper clarifies the difficulty of the issue called “Balancing Reconstruction with Decommissioning” in Fukushima based on the analysis of 1F decommissioning policy, and Fukushima lectures possibly falling into a state such as “Mutual Destruction of Reconstruction and Decommissioning” without altering 1F decommissioning governance. This chapter contributes to SDGs 11; Make cities and human settlements inclusive, safe, resilient and sustainable.
Production and Quality Management for SDGs
Authors: Nakashima Kenichi 
Published: December 2022

AbstractIndustry has undertaken mass production and consumed resources to optimize only economic efficiency. Most products are discarded or disposed at the end of their lifetimes. Therefore, most companies should design and manage their production system for sustainability. One of the most important factors to develop a sustainable production system is the environmental aspect. Environmentally conscious operations management makes some contributions to sustainable development goals (SDGs) #9 and #12. This chapter deals with production and quality management systems for SDGs. Firstly, representative operations management systems such as inventory management and total quality management (TQM) are introduced. These systems are useful to control the production processes efficiently. Secondly, we explain the Just-in-Time (JIT) production system which is based on the two key concepts, JIT and JIDOKA. Some advantages of the JIT production system include its simplicity in production scheduling, reduced burden on operators, ease of identification of parts by the two kinds of kanbans attached to the containers, and substantial reduction in the process work. Finally, we consider environmentally conscious manufacturing and describe a closed loop supply chain which includes activities necessary to acquire end-of-life products from customers to recover value.
Economic Growth: Why Are There Rich and Poor Countries?
Authors: Oikawa Koki 
Published: December 2022

AbstractSustainable economic growth is one of the main goals of SDGs. To achieve this goal, we need to know what drives the long-run dynamics of the wealth of nations. In this chapter, we first learn how to measure the level of a country’s wealth and its growth from data, as well as some widely observed facts such as steady growth in some developed countries, the huge international difference in economic growth, and so forth. Next, we develop theoretical models to explain those observations. We present a basic theory of growth with capital accumulation as the driving force and check the consistency with the observed data. Further, we consider firms’ investments into research and development (R &D) and see how innovations drive economic growth. It also tells us the effects of growth policies. Lastly, we discuss other factors that create international difference in economic growth such as education, institution, and misallocation of resources. This chapter contributes to Goal 8 (economic growth) and 9 (innovation) in SDGs.
Protein cysteine S-glycosylation: oxidative hydrolysis of protein S-glycosidic bonds in aqueous alkaline environments
Authors: Buchowiecka Alicja K. 
Published: December 2022

AbstractSome glycoproteins contain carbohydrates S-linked to cysteine (Cys) residues. However, relatively few S-glycosylated proteins have been detected, due to the lack of an effective research methodology. This work outlines a general concept for the detection of S-glycosylation sites in proteins. The approach was verified by exploratory experiments on a model mixture of β-S-glucosylated polypeptides obtained by the chemical transformation of lysozyme P00698. The model underwent two processes: (1) oxidative hydrolysis of S-glycosidic bonds under alkaline conditions to expose the thiol group of Cys residues; (2) thiol S-alkylation leading to thiol S-adduct formation at the former S-glycosylation sites. Oxidative hydrolysis was conducted in aqueous urea, dimethyl sulfoxide, or trifluoroethanol, with silver nitrate as the reaction promoter, in the presence of triethylamine and/or pyridine. The concurrent formation of stable protein silver thiolates, gluconic acid, and silver nanoclusters was observed. The essential de-metalation of protein silver thiolates using dithiothreitol preceded the S-labeling of Cys residues with 4-vinyl pyridine or a fluorescent reagent. The S-labeled model was sequenced by tandem mass spectrometry to obtain data on the modifications and their distribution over the protein chains. This enabled the efficiency of both S-glycosidic bonds hydrolysis and S-glycosylation site labeling to be evaluated. Suggestions are also given for testing this novel strategy on real proteomic samples.
Revisiting QUIC attacks: a comprehensive review on QUIC security and a hands-on study
Authors: Chatzoglou Efstratios , Kouliaridis Vasileios , Karopoulos Georgios , Kambourakis Georgios 
Published: December 2022

AbstractBuilt on top of UDP, the recently standardized QUIC protocol primarily aims to gradually replace the TCP plus TLS plus HTTP/2 model. For instance, HTTP/3 is designed to exploit QUIC’s features, including reduced connection establishment time, multiplexing without head of line blocking, always-encrypted end-to-end security, and others. This work serves two key objectives. Initially, it offers the first to our knowledge full-fledged review on QUIC security as seen through the lens of the relevant literature so far. Second and more importantly, through extensive fuzz testing, we conduct a hands-on security evaluation against the six most popular QUIC-enabled production-grade servers. This assessment identified several effective and practical zero-day vulnerabilities, which, if exploited, can quickly overwhelm the server resources. This finding is a clear indication that the fragmented production-level implementations of this contemporary protocol are not yet mature enough. Overall, the work at hand provides the first wholemeal appraisal of QUIC security from both a literature review and empirical standpoint, and it is therefore foreseen to serve as a reference for future research in this timely area.
Matching markets with middlemen under transferable utility
Authors: Atay Ata , Bahel Eric , Solymosi Tamás 
Published: December 2022

AbstractThis paper studies matching markets in the presence of middlemen. In our framework, a buyer–seller pair may either trade directly or use the services of a middleman; and a middleman may serve multiple buyer–seller pairs. For each such market, we examine the associated TU game. We first show that, in our context, an optimal matching can be obtained by considering the two-sided assignment market where each buyer–seller pair is allowed to use the mediation services of any middleman free of charge. Second, we prove that matching markets with middlemen are totally balanced: in particular, we show the existence of a buyer-optimal (seller-optimal) core allocation where each buyer (seller) receives her marginal contribution to the grand coalition. In general, the core does not exhibit a middleman-optimal allocation, not even when there are only two buyers and two sellers. However, we prove that in these small markets the maximum core payoff to each middleman is her marginal contribution. Finally, we establish the coincidence between the core and the set of competitive equilibrium payoff vectors.
Resonance response of fluid-conveying pipe with asymmetric elastic supports coupled to lever-type nonlinear energy sink
Authors: Cao Runqing , Wang Zhijian , Zang Jian , Zhang Yewei 
Published: December 2022

AbstractThis paper studies the vibration absorber for a fluid-conveying pipe, where the lever-type nonlinear energy sink (LNES) and spring supports are coupled to the asymmetric ends of the system. The pseudo-arc-length method integrated with the harmonic balance method is used to investigate the steady-state responses analytically. Meanwhile, the numerical solution of the fluid-conveying pipe is calculated with the Runge-Kutta method. Moreover, a special response, called the collapsible closed detached response (CCDR), is first observed when the vibration response of mechanical structures is studied. Then, the relationship between the CCDR and the main structure primary response (PR) is obtained. In addition, the closed detached response (CDR) is also observed to research the resonance response of the fluid-conveying pipe. The appearance of either the CCDR or the CDR does affect the resonance attenuation. Furthermore, the mentioned two phenomena underline that the trend of vibration responses under external excitation goes continuous and gradual. Besides, the main advantage of the LNES is presented by contrasting the LNES with the nonlinear energy sink (NES) coupled to the same pipe system. It is found that the LNES can reduce the resonance response amplitude by 91.33%.
Local parameter identification with neural ordinary differential equations
Authors: Yin Qiang , Cai Juntong , Gong Xue , Ding Qian 
Published: December 2022

AbstractThe data-driven methods extract the feature information from data to build system models, which enable estimation and identification of the systems and can be utilized for prognosis and health management (PHM). However, most data-driven models are still black-box models that cannot be interpreted. In this study, we use the neural ordinary differential equations (ODEs), especially the inherent computational relationships of a system added to the loss function calculation, to approximate the governing equations. In addition, a new strategy for identifying the local parameters of the system is investigated, which can be utilized for system parameter identification and damage detection. The numerical and experimental examples presented in the paper demonstrate that the strategy has high accuracy and good local parameter identification. Moreover, the proposed method has the advantage of being interpretable. It can directly approximate the underlying governing dynamics and be a worthwhile strategy for system identification and PHM.
Achiasmatic meiosis in the unisexual Amazon molly, Poecilia formosa
Authors: Dedukh Dmitrij , da Cruz Irene , Kneitz Susanne , Marta Anatolie , Ormanns Jenny , Tichopád Tomáš , Lu Yuan , Alsheimer Manfred , Janko Karel , Schartl Manfred 
Published: December 2022

AbstractUnisexual reproduction, which generates clonal offspring, is an alternative strategy to sexual breeding and occurs even in vertebrates. A wide range of non-sexual reproductive modes have been described, and one of the least understood questions is how such pathways emerged and how they mechanistically proceed. The Amazon molly,Poecilia formosa, needs sperm from males of related species to trigger the parthenogenetic development of diploid eggs. However, the mechanism, of how the unreduced female gametes are produced, remains unclear. Cytological analyses revealed that the chromosomes of primary oocytes initiate pachytene but do not proceed to bivalent formation and meiotic crossovers. Comparing ovary transcriptomes ofP. formosaand its sexual parental species revealed expression levels of meiosis-specific genes deviating fromP. mexicanabut not fromP. latipinna. Furthermore, several meiosis genes show biased expression towards one of the two alleles from the parental genomes. We infer from our data that in the Amazon molly diploid oocytes are generated by apomixis due to a failure in the synapsis of homologous chromosomes. The fact that this failure is not reflected in the differential expression of known meiosis genes suggests the underlying molecular mechanism may be dysregulation on the protein level or misexpression of a so far unknown meiosis gene, and/or hybrid dysgenesis because of compromised interaction of proteins from diverged genomes.
From an offender-based to an offense-based justice: Changes in sentencing patterns in the juvenile justice system in São Paulo from 1990 to 2006
Authors: Oliveira Thiago R. , Alvarez Marcos Cesar , Gisi Bruna 
Published: December 2022

AbstractJuvenile justice systems around the globe are becoming increasingly more similar to criminal justice systems. In Brazil, previous legislations focused on the individuals themselves and did not distinguish between young offenders and children in precarious conditions, but a new legislation in 1990 marked a rupture and introduced elements of criminal law. We leverage a unique data set representative of every adolescent who has been through the juvenile justice system in the state of São Paulo between 1990 and 2006 and provide a quantitative assessment of the changes in sentencing patterns in the period. Results suggest that judges increasingly prioritise violent and drug-related offenses when convicting adolescent defendants, indicating that the Brazilian juvenile justice system progressively resembles the criminal justice rationale by emphasising the ideal of proportionality between crime and punishment. We conclude with a discussion on pendular justice, suggesting that juvenile justice in Brazil is moving from a positivist-inspired to a classic-inspire justice system.
Validation of Soil Thermal Conductivity Models
Authors: Wessolek Gerd , Bohne Klaus , Trinks Steffen 
Published: December 2022

AbstractThis study describes the generation of a uniform data base of 2733 non-stationary thermal conductivity laboratory measurements of about 158 soil cores with varying texture, bulk density, soil organic matter, pH, and carbonate content. This data set has been used to validate ten well established pedo-transfer functions for predicting thermal conductivity by using easily available soil information such as soil texture, bulk density, and water content. Models were grouped into (i) physically based and (ii) empirical ones that need measured data for its calibration. The classical physical based transfer-function of deVries et al. has been finally chosen to set up a framework of standard values for the USDA soil classes. For planning purposes, these$$\lambda$$λestimates for selected pressure heads only need information on soil texture and bulk density and may be more valuable than single point values of thermal conductivity.
Viscosity Correlation for Aqueous Lithium Bromide Solution
Authors: Fleßner Christian , Ziegler Felix 
Published: December 2022

AbstractA correlation for dynamic viscosity of aqueous lithium bromide solution is proposed. The correlation is based on an empirical approach accounting for physical limitations. The data are compiled from 11 sources over a temperature range from − 20 $$^{\circ }$$

∘

C to 110 $$^{\circ }$$

∘

C and from pure water to salt mass fractions of 65 %. The correlation succeeds in predicting the solution’s viscosity over the chosen range of measured data. In most parts of its validity range the accuracy is significantly improved compared to previous equations.
The relative importance of forest cover and patch-level drivers for phyllostomid bat communities in the Amazonian Savannas
Authors: Carvalho William Douglas , Rosalino Luís Miguel , da Silva Xavier Bruna , de Castro Isaí Jorge , Hilário Renato , Marques Tiago Miranda , de Toledo José Júlio , Vieira Marcus Vinícius , Palmeirim Jorge M. , Mustin Karen 
Published: December 2022

AbstractContextAnalyze the multiple dimensions of biodiversity under a local and landscape lens in natural habitats, such as Amazonian savannas, is fundamental for the conservation of species and ecosystems.ObjectivesWe aim to explore how landscape forest cover and patch-level variables affect the patterns of species abundance, functional traits, and taxonomic, functional and phylogenetic α-diversity of Phyllostomid bats in forest patches of the Savannas of Amapá, in both the wet and dry seasons.MethodsWe used mist nets to survey bats in 26 forest patches. We also quantified forest cover in buffers of 500, 1000, 1500, 2000 and 2500 m around each patch, and tree height, basal area, canopy cover, and vegetation clutter in the understorey at the patch level. We used hierarchical partitioning to relate the different indices with our predictor variables.ResultsTaxonomic, functional and phylogenetic diversity in the wet season increased with the proportion of forest cover in the 2500 m buffer. Vegetation clutter was negatively related to taxonomic and functional diversity in the wet season. In the dry season, average tree height positively affected taxonomic and functional diversity. Patch-level variables were more important than forest cover in explaining the average functional traits in both seasons.ConclusionWe found seasonal variation in the relationships between components of bat diversity and different drivers. Since both forest cover in the landscape and patch-level variables are important for Phyllostomid bat diversity, conservation plans should consider forest conservation at the landscape level and maintenance of forest patch quality.