bluuebunny/crossref_metadata_2025_split huggingface dataset:
Alternative Food Networks in Latin America—exploring PGS (Participatory Guarantee Systems) markets and their consumers: a cross-country comparison
Authors: Kaufmann Sonja , Hruschka Nikolaus , Vildozo Luis , Vogl Christian R. 
Published: August 2022

AbstractAlternative food networks (AFN) are argued to provide platforms to re-socialize and re-spacealize food, establish and contribute to democratic participation in local food chains, and foster producer–consumer relations and trust. As one of the most recent examples of AFN, Participatory Guarantee Systems (PGS) have gained notable traction in attempting to redefine consumer-producer relations in the organic value chain. The participation of stakeholders, such as consumers, has been a key element theoretically differentiating PGS from other organic verification systems. While research on farmer participation in PGS is attracting interest, consumer participation is still widely overlooked. Using a mixed methods approach, this paper describes five PGS markets in Mexico, Chile and Bolivia. A survey was conducted with consumers in the PGS markets to explore their awareness of the PGS, how consumers participate in the PGS, and their level of trust in the respective PGS and its certified products. Results showed a low level of awareness of PGS among market consumers, few participation possibilities, and minimal consumer participation overall. Nevertheless, trust in organic quality was generally high. Consumers primarily relied on the direct relationship with producers and the PGS market itself as sources of trust. These results provide novel insight into PGS consumer-market interactions, and contribute to discussions concerning social embeddedness, awareness and participation within AFN.
Self-admitted technical debt in R: detection and causes
Authors: Sharma Rishab , Shahbazi Ramin , Fard Fatemeh H. , Codabux Zadia , Vidoni Melina 
Published: August 2022

AbstractSelf-Admitted Technical Debt (SATD) is primarily studied in Object-Oriented (OO) languages and traditionally commercial software. However, scientific software coded in dynamically-typed languages such as R differs in paradigm, and the source code comments’ semantics are different (i.e., more aligned with algorithms and statistics when compared to traditional software). Additionally, many Software Engineering topics are understudied in scientific software development, with SATD detection remaining a challenge for this domain. This gap adds complexity since prior works determined SATD in scientific software does not adjust to many of the keywords identified for OO SATD, possibly hindering its automated detection. Therefore, we investigated how classification models (traditional machine learning, deep neural networks, and deep neural Pre-Trained Language Models (PTMs)) automatically detect SATD in R packages. This study aims to study the capabilities of these models to classify different TD types in this domain and manually analyze the causes of each in a representative sample. Our results show that PTMs (i.e., RoBERTa) outperform other models and work well when the number of comments labelled as a particular SATD type has low occurrences. We also found that some SATD types are more challenging to detect. We manually identified sixteen causes, including eight new causes detected by our study. The most common cause was failure to remember, in agreement with previous studies. These findings will help the R package authors automatically identify SATD in their source code and improve their code quality. In the future, checklists for R developers can also be developed by scientific communities such as rOpenSci to guarantee a higher quality of packages before submission.
Phenotypic, Genetic and Environmental Architecture of the Components of Sleep Quality
Authors: Madrid-Valero Juan J. , Sánchez-Romera Juan F. , Martínez-Selva Jose M. , Ordoñana Juan R. 
Published: August 2022

AbstractThe genetic and environmental underpinnings of sleep quality have been widely investigated. However, less is known about the etiology of the different sleep quality components and their associations. Subjective sleep quality has been studied most commonly using the Pittsburgh Sleep Quality Index (PSQI). Therefore, this work aimed to study the structure of sleep quality dimensions in a population-based twin sample by examining the etiology of the associations among the PSQI components themselves and between them. The sample comprised 2129 participants from the Murcia Twin Registry. In order to study the phenotypic, genetic and environmental structure of the PSQI we used three alternative multivariate twin models including all seven sub-scales of the PSQI (subjective sleep quality, latency, duration, efficiency, disturbances, use of sleeping medication and daytime dysfunction): a multivariate model (with seven separate correlated factors), a common pathway model and an independent pathway model. The multivariate correlated factors model showed the best fit to the data. All twin models indicated significant genetic overlap among most of the PSQI components, except daytime dysfunction and use of sleep medication. Bivariate heritability explained between 25 and 50% of the covariance for most associations between dimensions. Furthermore, the common pathway model showed that around one third of the variance (0.32; CI 95% 0.18.0.43) of a latent factor common to all questionnaire dimensions is explained by genetic factors. Genetic influences on a latent factor common to all questionnaire dimensions produced the same heritability estimates as the PSQI global score. However, sleep quality dimensions showed considerable specificity regarding its genetic-environmental structure.
Effects of exposure to environmentally relevant concentrations of lead (Pb) on expression of stress and immune-related genes, and microRNAs in shorthorn sculpins (Myoxocephalus scorpius)
Authors: Jantawongsri Khattapan , Nørregaard Rasmus Dyrmose , Bach Lis , Dietz Rune , Sonne Christian , Jørgensen Kasper , Lierhagen Syverin , Ciesielski Tomasz Maciej , Jenssen Bjørn Munro , Waugh Courtney Alice , Eriksen Ruth , Nowak Barbara , Anderson Kelli 
Published: August 2022

Abstract
Old lead–zinc (Pb–Zn) mining sites in Greenland have increased the environmental concentration of Pb in local marine organisms, including the shorthorn sculpin. Organ metal concentrations and histopathology have been used in environmental monitoring programs to evaluate metal exposure and subsequent effects in shorthorn sculpins. So far, no study has reported the impact of heavy metals on gene expression involved in metal-related stress and immune responses in sculpins. The aim of this study was to investigate the effect of exposure to environmentally relevant waterborne Pb (0.73 ± 0.35 μg/L) on hepatic gene expression of metallothionein (mt), immunoglobulin M (igm), and microRNAs (miRNAs; mir132 and mir155) associated with immune responses in the shorthorn sculpin compared to a control group. The mt and igm expression were upregulated in the Pb-exposed group compared to the control group. The transcripts of mir132 and mir155 were not different in sculpins between the Pb-exposed and control group; however, miRNA levels were significantly correlated with Pb liver concentrations. Furthermore, there was a positive correlation between liver Pb concentrations and igm, and a positive relationship between igm and mir155. The results indicate that exposure to Pb similar to those concentrations reported in in marine waters around Greenland Pb–Zn mine sites influences the mt and immune responses in shorthorn sculpins. This is the first study to identify candidate molecular markers in the shorthorn sculpins exposed to waterborne environmentally relevant Pb suggesting mt and igm as potential molecular markers of exposure to be applied in future assessments of the marine environment near Arctic mining sites.
Bell-Type Inequalities from the Perspective of Non-Newtonian Calculus
Authors: Piłat Michał Piotr 
Published: August 2022

AbstractA class of quantum probabilities is reformulated in terms of non-Newtonian calculus and projective arithmetic. The model generalizes spin-1/2 singlet state probabilities discussed in Czachor (Acta Physica Polonica:139 70–83, 2021) to arbitrary spins s. For $$s\rightarrow \infty$$

s
→
∞

the formalism reduces to ordinary arithmetic and calculus. Accordingly, the limit “non-Newtonian to Newtonian” becomes analogous to the classical limit of a quantum theory.
Effectiveness of Stone and Deep Mixing Lime Columns on Stability of Embankments Constructed on Soft Consolidating Soil
Authors: Prakash K. G. , Krishnamoorthy A. 
Published: August 2022

AbstractOne of the most common, effective and innovative ways to improve soft soil is to use stone columns or lime columns. An extensive study has been conducted to find the effectiveness of lime or stone columns to improve the settlement of embankments constructed over soft consolidating soil. There are very few studies to evaluate the effects of columns on embankment safety factor during foundation soil consolidation. This study examined the effectiveness of stone and lime columns on the embankment stability, both in terms of safety factor and settlement, which are determined at different intervals of time, during the foundation soil consolidation. Further, it was also investigated the effectiveness of stone and lime column composite system. In this numerical study, two-dimensional plane strain finite element method is used. This study shows that, stone columns are more effective than lime columns in reducing post-construction settlement and to accelerate consolidation process, whereas lime columns are observed to be more effective than stone columns in improving the safety factor after the embankment construction indicating that the usage of stone or lime columns is significantly affected by the purpose for which columns are used. In addition, it is also observed that the column effectiveness on safety factor is strongly influenced by the relative shear strength of embankment and foundation soils. Further, provision of stone and lime columns as a composite system performs better than providing only stone or lime columns.
Foraging Strategies of Invasive Macaca fascicularis may Promote Plant Invasion in Mauritius
Authors: Reinegger Raphael D. , Oleksy Ryszard Z. , Gazagne Eva , Jones Gareth 
Published: August 2022

AbstractThe effectiveness of seed dispersal by frugivorous primates may vary between seasons and plant species, depending on foraging strategies. We investigated how foraging strategies of an invasive frugivorous primate (the long-tailed macaque, Macaca fascicularis) affect seed dispersal effectiveness (SDE) between native and invasive plants in Mauritius’ native remnant forests. By collecting behavioural data on a group of partially habituated macaques via scan sampling from December 2019 until December 2020 (mean 19.2 ± SD 7.3 hours per month), we investigated seasonal patterns in diet, home range, and fruit availability to identify foraging strategies and determine fruit preference. We simultaneously assessed SDE for invasive vs native plants by quantifying native and invasive fruits consumed or dropped intact by macaques during feeding bouts (n = 114). Macaques fed increasingly on ripe invasive fruits and less on other food items as fruit availability increased, due to preference for invasive fruits and disproportionate availability of invasive vs native fruits. When fruit became scarcer, macaques had larger home ranges, increasingly fed on scarce unripe native and invasive fruits, and expanded their diet by eating orchard crops, indicating use of energy-maximizing strategies. Macaques consumed more native than invasive fruits when unripe and commonly destroyed seeds of native fruits, indicating higher SDE for invasive vs native plants. Higher discard rates of unripe compared to ripe fruits further reinforced these differences in SDE. Our results highlight potential facilitation of plant invasion by an invasive primate, due to foraging strategies shaped by the availability of invasive fruits.
German measurement structures: case-marking and non-conservativity
Authors: Pasternak Robert , Sauerland Uli 
Published: August 2022

AbstractThis paper addresses the syntactic and semantic analysis of nominal measurement structures liketwo liters of black coffeein German. German allows the case-marking on the substance noun phraseblack coffeeto vary: it can appear in genitive case or in the same case as the measure nounliter. The choice of case lacks semantic import with absolute measures likeliter, but a semantic distinction does arise for proportional measures likepercent, with the interpretation in the case-matching configuration serving as aprima faciecounterexample to Keenan and Stavi’sConservativity Hypothesisof DP quantification. We argue that (i) measurement structures do not have different syntactic configurations depending on the choice of measure noun (e.g.,litervs.percent); (ii) genitive and case-matching structures do, however, have different syntactic configurations; (iii) the semantic contrast between absolute and proportional measure nouns can be traced to their lexical interpretations; and (iv) the apparent violation of the Conservativity Hypothesis is only a surface-level phenomenon, and at LF all DP quantification is conservative.
Planning for active aging: exploring housing preferences of elderly populations in the United States
Authors: Wang Weijing , Durst Noah J. 
Published: August 2022

AbstractIncreases in the elderly population (defined as people aged 65 years old and above by the United States Census Bureau) in the United States (U.S.) have reached an inflection point. This demographic shift fundamentally reshapes the magnitude of housing needs in U.S. communities. Planning housing markets for active aging, our study (1) examines how the overall housing market in the U.S. responds to increases in the elderly population, (2) identifies housing preferences of elderly populations by exploring the heterogeneous effects of increasing elderly populations on different types/sizes of houses. Our results suggest that increases in the elderly population are associated with a slight rise in prices in the overall housing market. It points towards the role of increasing elderly populations in shaping the housing market, bringing both opportunities and challenges in reframing urban and housing policy. The study also shows that increases in the elderly population have significant and positive effects on single-family homes and small homes, but no impact on condominiums and large homes. The heterogeneous effects on different types/sizes of housing represent the preferences of elderly populations to single-family homes and small homes. Given the increasing size and share of elderly populations and severe shortages in affordable elderly housing, our study suggests that a strong commitment to reframing urban policy and housing programs targeting assistance and support toward elderly populations such as the Sect. 202 Supportive Housing for the Elderly Program, is in great need of federal and local governments’ interventions.
Is Circumcision “Necessary” in Islam? A Philosophical Argument Based on Peer Disagreement
Authors: Dabbagh Hossein 
Published: August 2022

AbstractIn recent years, there has been a resurgence in debates on the ethics of child genital cutting practices, both female and male, including within a Muslim context. Opponents of female genital cutting sometimes assert that the practice is not mentioned explicitly in the Qur’an as a way of implying that it does not have any religious standing within Islam. However, neither is male genital cutting mentioned explicitly in the Qur’an, and yet most people accept that it is a Muslim religious practice. Both practices, however, are mentioned in secondary sources of Islamic jurisprudence, with disagreement among religious authorities about the status or authenticity of some of these sources. This paper considers the religious status of both female and male genital cutting practices within Islam and employs a philosophical argument based on “peer disagreement” to ask whether either practice is necessary (i.e., religiously required) for a devout Muslim to endorse.
Fractal impedance for passive controllers: a framework for interaction robotics
Authors: Babarahmati Keyhan Kouhkiloui , Tiseo Carlo , Smith Joshua , Lin Hsiu-Chin , Erden Mustafa Suphi , Mistry Michael 
Published: August 2022

AbstractThere is increasing interest in control frameworks capable of moving robots from industrial cages to unstructured environments and coexisting with humans. Despite significant improvement in some specific applications (e.g., medical robotics), there is still the need for a general control framework that improves interaction robustness and motion dynamics. Passive controllers show promising results in this direction; however, they often rely on virtual energy tanks that can guarantee passivity as long as they do not run out of energy. In this paper, a Fractal Attractor is proposed to implement a variable impedance controller that can retain passivity without relying on energy tanks. The controller generates a Fractal Attractor around the desired state using an asymptotic stable potential field, making the controller robust to discretization and numerical integration errors. The results prove that it can accurately track both trajectories and end-effector forces during interaction. Therefore, these properties make the controller ideal for applications requiring robust dynamic interaction at the end-effector.
Agentive Duality reconsidered
Authors: Loets Annina , Zakkou Julia 
Published: August 2022

AbstractA growing consensus in the literature on agentive modals has it that ability modals like ‘can’ or ‘able to’ have a dual, i.e. interpretations of ‘must’ or ‘cannot but’ which stand to necessity as ability stands to possibility. We argue that this thesis (which we call ‘Agentive Duality’) is much more controversial than meets the eye. While Agentive Duality follows from the orthodox possibility analysis of ability given natural assumptions, it sits uneasily with a wide range of alternative proposals which are unified by the idea that ability requires control. In particular, we show that against the background of a control requirement on ability, Agentive Duality can be used to derive absurd predictions featuring this dual. Far from being a purely definitional thesis, Agentive Duality thus affords a new lens through which to assess the long-standing debate between possibility analyses of ability and their discontents.
Utility of visible and near-infrared spectroscopy to predict base neutralizing capacity and lime requirement of quaternary soils
Authors: Horf Michael , Bönecke Eric , Gebbers Robin , Kling Charlotte , Kramer Eckart , Rühlmann Jörg , Schröter Ingmar , Schwanghart Wolfgang , Vogel Sebastian 
Published: August 2022

AbstractDetailed knowledge of a soil’s lime requirement (LR) is a prerequisite for a demand-based lime fertilization to achieve the optimum soil pH and thus sustainably increasing soil fertility and crop yields. LR can be directly determined by the base neutralizing capacity (BNC) obtained by soil-base titration. For a site-specific soil acidity management, detailed information on the within-field variation of BNC is required. However, soil-base titrations for BNC determination are too laborious to be extensively applied in routine soil testing. In contrast, visible and near-infrared spectroscopy (visNIRS) is a time and cost-effective alternative that can analyze several soil characteristics within a single spectrum. VisNIRS was tested in the laboratory on 170 air-dried and sieved soil samples of nine agricultural fields of a quaternary landscape in North-east Germany predicting the soil’s BNC and the corresponding lime requirement (LRBNC) at a target pH of 6.5. Seven spectral pre-processing methods were tested including a new technique based on normalized differences (ND). Furthermore, six multivariate regression methods were conducted including a new method combining a forward stagewise subset selection algorithm with PLSR (FS-PLSR). The models were validated using an independent sample set. The best regression model for most target variables was FS-PLSR combined with the second Savitzky-Golay derivation as pre-processing method achieving R2s from 0.68 to 0.82. Finally, the performance of the direct prediction of LRBNC (R2 = 0.68) was compared with an indirect prediction that was calculated by the predicted BNC parameters. This resulted in slightly higher correlation coefficients for the indirect method with R2 = 0.75.
Combining Web of Science and Scopus datasets in citation-based literature study
Authors: Kumpulainen Miika , Seppänen Marko 
Published: August 2022

AbstractScientific research builds on previous studies and scientifically proven knowledge. Researchers must master the recent developments in the field when designing research to answer new questions. Today, the accessibility of research literature is abundant due to digitized publications, extensive coverage of citation indexes, and several literature databases. The means for conducting systematic literature reviews have greatly improved. In recent years, a lot of research with methods, such as systematic literature reviews, literature mapping, and visualizing studies, has been published. Despite the tools having been perfected, they still have limitations. Particularly, database selection for a literature search sets a bias, because the citation indexes differ in coverage according to the scientific domain. In this paper, bibliometric data from two citation indexes (Web of Science and Scopus) are combined for the purposes of bibliometric analyses in the context of inter-firm relationships. The combination process requires a lot of unifying and repairing of data in practice that is referred as data wrangling. This study describes the process steps and the lessons learned and considers the amount of effort required.
The classification of preordered spaces in terms of monotones: complexity and optimization
Authors: Hack Pedro , Braun Daniel A. , Gottwald Sebastian 
Published: August 2022

AbstractThe study of complexity and optimization in decision theory involves both partial and complete characterizations of preferences over decision spaces in terms of real-valued monotones. With this motivation, and following the recent introduction of new classes of monotones, like injective monotones or strict monotone multi-utilities, we present the classification of preordered spaces in terms of both the existence and cardinality of real-valued monotones and the cardinality of the quotient space. In particular, we take advantage of a characterization of real-valued monotones in terms of separating families of increasing sets to obtain a more complete classification consisting of classes that are strictly different from each other. As a result, we gain new insight into both complexity and optimization, and clarify their interplay in preordered spaces.