bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Cumulative Effects of Marketized Care
Authors: Chatzidakis Andreas , Eckhardt Giana M , Husemann Katharina C 
Published: April 2024

Abstract
Care is increasingly marketized. Previous marketing and consumer research has focused on specific tensions underlying marketized care provision and the ways in which consumers navigate them. In contrast, this conceptual article draws on interdisciplinary research on care to develop a cumulative understanding of marketized care, that is, based on those effects that build up over time when a critical mass of consumers routinely addresses care needs via markets. Defining marketized care as attending to the welfare needs of human and nonhuman others through the market, we identify four negative cumulative effects: individuating effects on consumer subjectivities, alienating effects on care relationships, responsibilizing effects on consumers as opposed to other institutional actors of care provision, and exploitative effects generated in global care and supply chains. We also outline four principles that can mitigate these effects: interdependent consumer autonomy, affective reconnections, proportionate responsibilization, and market reconfiguration. Our conceptualization moves the literature on marketized care forward by outlining its cumulative nature as well as offering potential solutions that are neither demonizing nor celebratory of markets. In doing so, we offer a series of generative insights for research on marketized care that contribute to addressing collective human and nonhuman flourishing.
Price Partitioning of Socio-Moral Surcharges
Authors: Goenka Shreyans , Bagchi Rajesh 
Published: April 2024

Abstract
Many companies are levying mandatory surcharges on products to raise funds for socio-moral causes (e.g., carbon-offset, living-wage, fair-trade, and sustainability surcharges). Should these surcharges be presented separately from the product price (i.e., partitioned pricing) or combined with the product price (i.e., all-inclusive pricing)? This research argues that partitioned pricing for socio-moral surcharges can backfire. When socio-moral surcharges are partitioned, consumers feel that the company is avoiding its own responsibility toward the cause, reducing intrinsic corporate social responsibility attributions and consequently leading to adverse consumer reactions. This theorization is specific to surcharges attached to socio-moral causes; the effects reverse for non-socio-moral surcharges. Further, we document three ways via which firms can alter consumer beliefs and attenuate negative reactions. These include approaches that signal that the firm is not seeking reputational benefits, that the firm is not avoiding responsibility, and by shifting consumers’ focus from the costs they have to bear to the benefits they accrue. Hence, this research presents implications for managers and policymakers seeking to incorporate socio-moral surcharges into product prices while mitigating consumer backlash.
Machine learning for electric energy consumption forecasting: Application to the Paraguayan system
Authors: Morales-Mareco Félix , García-Torres Miguel , Divina Federico , Stalder Diego H , Sauer Carlos 
Published: April 2024

Abstract
In this paper we address the problem of short-term electric energy prediction using a time series forecasting approach applied to data generated by a Paraguayan electricity distribution provider. The dataset used in this work contains data collected over a three-year period. This is the first time that these data have been used; therefore, a preprocessing phase of the data was also performed. In particular, we propose a comparative study of various machine learning and statistical strategies with the objective of predicting the electric energy consumption for a given prediction horizon, in our case seven days, using historical data. In this paper we have tested the effectiveness of the techniques with different historical window sizes. Specifically, we considered two ensemble strategies, a neural network, a deep learning technique and linear regression. Moreover, in this study, we tested whether the inclusion of meteorological data can help achieve better predictions. In particular, we considered data regarding temperature, humidity, wind speed and atmospheric pressure registered during the three-year period of data collection. The results show that, in general, the deep learning approach obtains the best results and that such results are obtained when meteorological data are also considered. Moreover, when meteorological data is used, a smaller historical window size is required to obtain precise predictions.
PhrasIS: Phrase Inference and Similarity benchmark
Authors: Lopez-Gazpio I , Gaviria J , García P , Sanjurjo-González H , Sanz B , Zarranz A , Maritxalar M , Agirre E 
Published: April 2024

Abstract
We present PhrasIS, a benchmark dataset composed of natural occurring Phrase pairs with Inference and Similarity annotations for the evaluation of semantic representations. The described dataset fills the gap between word and sentence-level datasets, allowing to evaluate compositional models at a finer granularity than sentences. Contrary to other datasets, the phrase pairs are extracted from naturally occurring text in image captions and news headlines. All the text fragments have been annotated by experts following a rigorous process also described in the manuscript achieving high inter annotator agreement. In this work we analyse the dataset, showing the relation between inference labels and similarity scores. With 10K phrase pairs split in development and test, the dataset is an excellent benchmark for testing meaning representation systems.
Gaussian process-based analysis of the nitrogen dioxide at Madrid Central Low Emission Zone
Authors: Gómez-González Juan Luis , Cárdenas-Montes Miguel 
Published: April 2024

Abstract
Concern about air-quality in urban areas has led to the implementation of Low Emission Zones as one of many other initiatives to control it. Recently in Spain, the enactment of a law made this mandatory for cities with a population larger than 50k inhabitants. The delimitation of these areas is not without controversy because of possible negative economic and social impacts. Therefore, clear assessments of how these initiatives decrease pollutant concentrations are to be provided. Madrid Central is a major initiative of Madrid city council for reducing motor traffic and the associated air pollution in the city centre. This Low Emission Zone starts at the end of 2018, but the first fully-operational period corresponds to the second quarter of 2019. In this work, a methodology based on the Gaussian Process to analyse the evolution of Nitrogen Dioxide inside Madrid Central is undertaken. A Gaussian Process is a stochastic process suitable for interpretable model selection and predictions. Due to its probabilistic nature it provides error estimation at predictions. After the activation of Madrid Central, a relevant reduction of Nitrogen Dioxide has been observed. However, the role of the meteorology during this period must be ascertained to correctly evaluate the role of the activation of the Low Emission Zone against a prone weather. In this work, a model based on the Gaussian Process is trained with meteorological information to predict the concentration of Nitrogen Dioxide at Madrid Central, $[NO_{2}]$. This probabilistic description allows extracting statistical information on the reduction affected by the meteorological scenario and separately by the Madrid Central activation.
Characterizing diurnal roosts of male Little Brown Myotis (Myotis lucifugus) during summer
Authors: Hilty Shannon L , Litt Andrea R , Maxell Bryce A , Gower Claire N , Garrott Robert A , Hanauska-Brown Lauri 
Published: April 2024

Abstract
Shelter is one critical aspect of an animal’s habitat, providing refuge from predators and weather, protection for offspring, and aiding in physiological homeostasis. During the day, bats find shelter in roosts—spaces created under tree bark, in tree cavities, or between rocks—after spending the night searching for food. Finding a roost with a microclimate that enables bats to remain in their thermoneutral zone could reduce energetic demands or allow bats to allocate energy to other activities such as reproduction and fighting disease. We aimed to characterize the structural features and microclimate (i.e., temperature) of roosts used by male Little Brown Myotis (Myotis lucifugus) during the summer and determine whether bats select certain characteristics disproportionally to what is available at different spatial scales. During the summers of 2017 and 2018, we radio-tracked 34 male M. lucifugus in Lodgepole Pine-dominated forests. We located at least 1 roost for 20 individuals (average = 2.85 roosts/bat, range = 1 to 6). Although snags were available, most of the roosts were in rock features (86% in rocks, 14% in trees or snags). Male M. lucifugus were more likely to select rock roosts with less canopy closure that were closer to water compared to available roosts on the landscape. They also selected roosts in rock features occurring within larger areas of rock cover that had wider entrances and access to crevices that faced the sky; these roosts also had warmer microclimates relative to other locations available on the landscape. Crevices that allow the bat to bask in the sun and change locations within a roost, minimizing energy needed for active thermoregulation, could be very beneficial for individuals recovering from diseases such as white-nose syndrome. Our work indicates that rock features provide habitat for male M. lucifugus during summer; other studies have shown that bats roost in these features during autumn and winter, further supporting their importance. By protecting these important rock structures, managers can help bats meet their habitat needs throughout the year.
Biotic and abiotic factors drive multi-trophic interactions among spiders at different spatial scales in urban greenspaces
Authors: Delgado de la flor Yvan A , Perry Kayla I , Collis Lyndsie M , Phelan P Larry , Gardiner Mary M 
Published: April 2024

Abstract
Urbanization is often detrimental to biodiversity, yet urban greenspaces can be managed to provide habitat for many arthropods. Understanding how anthropogenic filters influence processes of community assembly in urban ecosystems will inform conservation of species such as spiders, which provide natural pest control. Spiders are abundant in urban areas, but the relative importance of biotic and abiotic factors for structuring spider communities in urban greenspaces is unclear. We initiated the Cleveland Pocket Prairie Project in the legacy city of Cleveland, Ohio, where vacant lots and urban prairies were established across eight inner-city neighborhoods. In each greenspace, spiders were collected along with landscape and local environmental data in July 2017. Using a path analysis approach, we investigated the relative importance and strength of landscape and local environmental filters for influencing the structure of spider communities during mid-summer within this system. We found that spider community assembly was influenced by multiple abiotic and biotic drivers across spatial scales related to landscape composition, soil texture and quality, prey breadth, and habitat management designs. Web-building and active hunting spiders responded differently to these landscape and local drivers, highlighting the need to incorporate a functional perspective when studying community assembly. These findings suggest that a multi-scale approach to conservation management is needed to support biodiversity and associated biological control services in urban ecosystems.
Patient characteristics, diagnostic testing, and initial treatment profiles of patients with connective tissue disease-associated pulmonary arterial hypertension using a Japanese claims database
Authors: Tokushige Natsuko , Hayashi Yasuhiro , Omura Junichi , Jinnai Tatsunori , Atsumi Tatsuya 
Published: April 2024

ABSTRACT

Objectives
To investigate the diagnostic and therapeutic landscape for patients with connective tissue disease (CTD) and CTD-associated pulmonary arterial hypertension (CTD-PAH) in acute-care general hospitals in Japan.

Methods
We conducted a retrospective cohort study by analysing the Medical Data Vision (MDV) database from April 2008 to September 2020. CTD patients who prescribed immunosuppressants were included in cohort 1, and CTD-PAH patients extracted from cohort 1 were included in cohort 2. Patient characteristics, diagnostic screening frequencies for PAH, and initial PAH-specific treatment patterns were assessed.

Results
Overall, 16,648 patients with CTD and 81 patients with CTD-PAH were included in cohorts 1 and 2, respectively. The frequencies of screening tests for PAH, including brain natriuretic peptide (BNP), transthoracic echocardiogram (TTE), and ‘diffusing capacity’ of the ‘lungs for carbon monoxide’ (DLCO), among CTD patients were 0.7, 0.3, and 0.1 tests/person-year, respectively. The most common initial PAH-specific treatment therapy was monotherapy (87.7%), followed by dual therapy (7.4%) and triple therapy (2.5%).

Conclusion
This is the first study to describe the patient flow from PAH diagnosis to initial PAH-specific treatment for real-world patients who were followed regularly due to CTD in Japanese clinical practice.
Social learning and the acquisition of information and knowledge—a network approach for the case of technology adoption
Authors: Abdul Mumin Yazeed , Goetz Renan 
Published: April 2024

Abstract
The complexity of agricultural innovations and heterogeneity of circumstances of technology application, outcomes, and social network structures have often led to obstacles in social learning and suboptimal adoption. In this article, we examine technology diffusion by focusing on the roles of peer adoption decision, peer experience, and network structures, using survey data from 500 farm households in Northern Ghana to generate social network contacts. Our results reveal that learning from peer experiences matter more in the diffusion process than just peer adoption decisions alone. We also find that social learning and the likelihood of adoption are higher when peers are central nodes, and particularly when they belong to cohesive subgroups, but lower when they are in highly segregated networks. Our results shed new light on the role of central agents, since highly cohesive neighbourhoods seem to promote diffusion more in high-modularity networks than central nodes.
Tumor Response Predicts Survival Time of Nivolumab Monotherapy for Advanced Gastric Cancer: A Subgroup Analysis of the DELIVER Trial (JACCRO GC-08)
Authors: Sunakawa Yu , Sakamoto Yasuhiro , Kawabata Ryohei , Ishiguro Atsushi , Akamaru Yusuke , Kito Yosuke , Takahashi Masazumi , Matsuyama Jin , Yabusaki Hiroshi , Makiyama Akitaka , Suzuki Takahisa , Tsuda Masahiro , Yasui Hisateru , Hihara Jun , Takeno Atsushi , Inoue Eisuke , Ichikawa Wataru , Fujii Masashi 
Published: April 2024

Abstract

Background
This prospective observational study evaluated the real-world effectiveness of nivolumab monotherapy in previously treated advanced gastric cancer (GC). A preplanned 2-year final analysis was performed to confirm survival and tumor behavior with nivolumab monotherapy.

Patients and Methods
The primary endpoint was overall survival (OS). The data regarding tumor size were prospectively collected and evaluated using the RECIST criteria. Exploratory analyses were performed for survival according to the tumor response and depth of response (DpR) in patients with measurable lesions who were receiving nivolumab monotherapy as third- or later-line therapy.

Results
In 487 patients, the median OS and progression-free survival (PFS) were 5.8 (95% CI 5.3-6.9) months and 1.8 (95% CI 1.7-2.0) months, respectively. The response rate (RR) was 14.5% in 282 patients with measurable lesions. In 234 patients treated with third- or later-line, the DpR was found to be associated with PFS and OS in the Spearman analysis (r = 0.55 and 0.44, respectively) as well as using a discrete variable. When the DpR was divided into 5 groups (−20%≥DpR; −20%&lt;DpR ≤ 0%; 0%&lt;DpR ≤ 30%; 30%&lt;DpR ≤ 50%; 50%&lt;DpR) according to tumor shrinkage, clinically meaningful differences in PFS, and OS were noted. Patients with DpR of ≥30% had favorable survival time in nivolumab monotherapy as a later-line treatment.

Conclusion
The final analysis confirmed the efficacy of nivolumab monotherapy for patients with advanced GC in routine clinical practice. The exploratory analysis indicated that increasing DpR was associated with longer median PFS and OS in nivolumab treatment at a later-line setting.
Clinical outcomes of etoposide and cytarabine as consolidation in elderly patients with primary CNS lymphoma
Authors: Kim Yu Ri , Cho Hyunsoo , Kim Soo-Jeong , Chung Haerim , Kook Hye Won , Jang Ji Eun , Cheong June-Won , Kim Jin Seok 
Published: April 2024

Abstract

Background
A consolidation strategy has not been established for transplant-ineligible elderly patients with primary central nervous system lymphoma (PCNSL). In this study, we aimed to retrospectively evaluate the clinical outcomes of etoposide and cytarabine (EA) as consolidation chemotherapy for transplant-ineligible patients with PCNSL following high-dose methotrexate (MTX)-based induction chemotherapy.

Materials and Methods
Between 2015 and 2021, newly diagnosed transplant-ineligible patients with PCNSL with diffuse large B-cell lymphoma were consecutively enrolled. All enrolled patients were over 60 years old and received EA consolidation after achieving a complete or partial response following induction chemotherapy.

Results
Of the 85 patients who achieved a complete or partial response to MTX-based induction chemotherapy, 51 received EA consolidation chemotherapy. Among the 25 (49.0%, 25/51) patients in partial remission before EA consolidation, 56% (n = 14) achieved complete remission after EA consolidation. The median overall survival and progression-free survival were 43 and 13 months, respectively. Hematological toxicities were most common, and all patients experienced grade 4 neutropenia and thrombocytopenia. Forty-eight patients experienced febrile neutropenia during consolidation chemotherapy, and 4 patients died owing to treatment-related complications.

Conclusion
EA consolidation chemotherapy for transplant-ineligible, elderly patients with PCNSL improved response rates but showed a high relapse rate and short progression-free survival. The incidences of treatment-related mortality caused by hematologic toxicities and severe infections were very high, even after dose modification. Therefore, the use of EA consolidation should be reconsidered in elderly patients with PCNSL.
Arabidopsis transcription factor TCP4 controls the identity of the apical gynoecium
Authors: Wang Yutao , Wang Ning , Lan Jingqiu , Pan Yige , Jiang Yidan , Wu Yongqi , Chen Xuemei , Feng Xianzhong , Qin Genji 
Published: April 2024

Abstract
The style and stigma at the apical gynoecium are crucial for flowering plant reproduction. However, the mechanisms underlying specification of the apical gynoecium remain unclear. Here, we demonstrate that Class II TEOSINTE BRANCHED 1/CYCLOIDEA/PCF (TCP) transcription factors are critical for apical gynoecium specification in Arabidopsis (Arabidopsis thaliana). The septuple tcp2 tcp3 tcp4 tcp5 tcp10 tcp13 tcp17 (tcpSEP) and duodecuple tcp2 tcp3 tcp4 tcp5 tcp10 tcp13 tcp17 tcp24 tcp1 tcp12 tcp18 tcp16 (tcpDUO) mutants produce narrower and longer styles, while disruption of TCPs and CRABS CLAW (CRC) or NGATHAs (NGAs) in tcpDUO crc or tcpDUO nga1 nga2 nga4 causes the apical gynoecium to be replaced by lamellar structures with indeterminate growth. TCPs are predominantly expressed in the apex of the gynoecium. TCP4 interacts with CRC to synergistically upregulate the expression level of NGAs, and NGAs further form high-order complexes to control the expression of auxin-related genes in the apical gynoecium by directly interacting with TCP4. Our findings demonstrate that TCP4 physically associates with CRC and NGAs to control auxin biosynthesis in forming fine structures of the apical gynoecium.
Children betrayed: The unseen victims of domestic violence and how law enforcement can better protect them
Authors: Glick Saul , Spearman Kathryn J 
Published: April 2024

Abstract
Domestic violence is a commonplace and serious societal problem with vast public health and economic consequences. Childhood exposure to domestic violence can blight children’s biological and social development. Often, local police departments are first responders to domestic violence. This is because danger is associated with these events, which requires police presence. Yet, children are often unseen victims of domestic violence. In general, law enforcement agencies (i) are ill-equipped to identify the risks experienced by children; (ii) struggle to find alternative outcomes for children at risk other than removal or criminalization; (iii) do not use scientifically informed assessment tools which might improve their interactions with children; and (iv) inconsistently share data with other agencies in a timely manner. Moreover, gaps in criminal legal, child welfare, and family court responses to violence in the family create circumstances where children may fall through the cracks. Positive interventions in relation to domestic violence and children who suffer as a result of it should be viewed as a public priority. Improving responses to these issues should be reframed as (i) a way to reduce the amount of future violent crimes committed, and (ii) reduce the resource burden felt by public services. This commentary discusses the scope and scale of children’s exposure to domestic violence and child maltreatment and discusses international best practices that can serve as models to improve law enforcement’s response to children.
Keats’s Unwritten Epic
Authors: O’Halloran Meiko 
Published: April 2024

Abstract
When Keats told friends he had ‘given up’ his epic project, ‘Hyperion’, in September 1819, he expressed dissatisfaction with its artful ‘Miltonic inversions’. While sailing to Italy in the autumn of 1820 and in the months before he died, however, Keats told Joseph Severn about an epic he wanted to write—on Sabrina, the river goddess in Milton’s Comus. This essay offers the first critical investigation of Keats’s projected poem. I pursue Keats’s unwritten epic, using Severn’s accounts, a selection of Keats’s letters and poems, and the source text to reveal what may have interested him about Milton’s rendering of Sabrina’s story and what it can tell us. Far from putting Milton behind him, Keats continued to draw inspiration from his poetry, returning to a work he had previously dismissed and finding fresh pleasure in a masque that Milton had composed in his mid-twenties, long before Paradise Lost. I suggest that in Sabrina, the tutelary spirit of the Severn, Keats found a figure of transformation, survival, and healing—a young goddess whose liminal existence on the Welsh border and whose partially told story appealed to his imagination and his belief in poetry’s enduring power to transcend mortal limits.