bluuebunny/crossref_metadata_2025_split huggingface dataset:
Introduction to weather derivatives
Authors: Bemš Július , Aydin Caner 
Published: November 2021

AbstractThe weather is one of the factors that may have an impact on the countries' economies. There are two main hedging ways against unexpected weather conditions: weather derivatives and weather insurances. During the last two decades, companies started to use weather derivatives against weather issues, especially in the energy and agriculture sectors. Starting from weather derivatives' first launch, their transaction volumes at the exchange and over‐the‐counter markets have increased. In addition to the increasing dependency of the economies on the weather, providing the weather derivative contracts with a reasonable premium amount is another reason which helps to have this positive trend. Since weather derivatives have similar parameters and rules with classical financial derivatives, it is possible to use the same pricing approaches for financial and weather derivatives. Monte–Carlo simulation, based on random number generation, is one of the existing methods of pricing derivative contracts. A difference between simulated values and really occurred data is the base point of the expected payoff or price of the contract. The current article introduces weather derivatives and shows two different approaches to their pricing, where one of them requires deeper statistical analysis. Adding the statistical analysis into the consideration, defining the relation between each data value, helps to provide better estimation and less volatility. Having less volatility can provide more accurate estimations and reasonable prices that are affordable and desired by the companies.This article is categorized under:
Energy Systems Economics > Economics and Policy
Energy Systems Economics > Systems and Infrastructure
M5-brane sources, holography, and Argyres-Douglas theories
Authors: Bah Ibrahima , Bonetti Federico , Minasian Ruben , Nardoni Emily 
Published: November 2021

Abstract
We initiate a study of the holographic duals of a class of four-dimensional $$ \mathcal{N} $$
N
= 2 superconformal field theories that are engineered by wrapping M5-branes on a sphere with an irregular puncture. These notably include the strongly-coupled field theories of Argyres-Douglas type. Our solutions are obtained in 7d gauged supergravity, where they take the form of a warped product of AdS5 and a “half-spindle.” The irregular puncture is modeled by a localized M5-brane source in the internal space of the gravity duals. Our solutions feature a realization of supersymmetry that is distinct from the usual topological twist, as well as an interesting Stückelberg mechanism involving the gauge field associated to a generator of the isometry algebra of the internal space. We check the proposed duality by computing the holographic central charge, the flavor symmetry central charge, and the dimensions of various supersymmetric probe M2-branes, and matching these with the dual Argyres-Douglas field theories. Furthermore, we compute the large-N ’t Hooft anomalies of the field theories using anomaly inflow methods in M-theory, and find perfect agreement with the proposed duality.
Surgical Safety Checklist Use and Post‐Caesarean Sepsis in the Lake Zone of Tanzania: Results from Safe Surgery 2020
Authors: Wurdeman Taylor , Staffa Steven J. , Barash David , Buberwa Ladislaus , Eliakimu Eliudi , Maina Erastus , Maongezi Sarah , Meara John G. , Munyonyela William , Mushi Rahma , Reynolds Cheri , Strader Christopher , Varallo John , Washington Leonard , Zurakowski David , Alidina Shehnaz , Kapologwe Ntuli A. 
Published: November 2021

AbstractBackgroundMaternal sepsis accounts for significant morbidity and mortality in lower income countries, and caesarean delivery, while often necessary, augments the risk of maternal sepsis. The aim of this study was to investigate the effect of Safe Surgery 2020 surgical safety checklist (SSC) implementation on post‐caesarean sepsis in Tanzania.MethodsWe conducted a study in 20 facilities in Tanzania's Lake Zone as part of the Safe Surgery 2020 intervention. We prospectively collected data on SSC adherence and maternal sepsis outcomes from 1341 caesarian deliveries. The primary outcome measure was maternal sepsis rate. The primary predictor was SSC adherence. Multivariable logistic regression was used to estimate independent associations between SSC adherence and maternal sepsis.ResultsHigher SSC adherence was associated with lower rates of maternal sepsis (<25% adherence: 5.0%; >75% adherence: 0.7%). Wound class and facility type were significantly associated with development of maternal sepsis (Wound class: Clean‐Contaminated 3.7%, Contaminated/Dirty 20%, P = 0.018) (Facility Type: Health Centre 5.9%, District Hospital 4.5%, Regional Referral Hospital 1.7%, P = 0.018). In multivariable analysis, after controlling for wound class and facility type, higher SSC adherence was associated with lower rates of maternal sepsis, with an adjusted odds ratio of 0.17 per percentage point increase in SSC adherence (95% CI: 0.04, 0.79; P = 0.024).ConclusionsAdherence to the SSC may reduce maternal morbidity during caesarean delivery, reinforcing the assumption that surgical quality interventions improve maternal outcomes. Future studies should continue to explore additional synergies between surgical and maternal quality improvement.
Weather and food availability additively affect reproductive output in an expanding raptor population
Authors: Nägeli Melanie , Scherler Patrick , Witczak Stephanie , Catitti Benedetta , Aebischer Adrian , van Bergen Valentijn , Kormann Urs , Grüebler Martin U. 
Published: November 2021

AbstractThe joint effects of interacting environmental factors on key demographic parameters can exacerbate or mitigate the separate factors’ effects on population dynamics. Given ongoing changes in climate and land use, assessing interactions between weather and food availability on reproductive performance is crucial to understand and forecast population dynamics. By conducting a feeding experiment in 4 years with different weather conditions, we were able to disentangle the effects of weather, food availability and their interactions on reproductive parameters in an expanding population of the red kite (Milvus milvus), a conservation-relevant raptor known to be supported by anthropogenic feeding. Brood loss occurred mainly during the incubation phase, and was associated with rainfall and low food availability. In contrast, brood loss during the nestling phase occurred mostly due to low temperatures. Survival of last-hatched nestlings and nestling development was enhanced by food supplementation and reduced by adverse weather conditions. However, we found no support for interactive effects of weather and food availability, suggesting that these factors affect reproduction of red kites additively. The results not only suggest that food-weather interactions are prevented by parental life-history trade-offs, but that food availability and weather conditions are crucial separate determinants of reproductive output, and thus population productivity. Overall, our results suggest that the observed increase in spring temperatures and enhanced anthropogenic food resources have contributed to the elevational expansion and the growth of the study population during the last decades.
Developing an e-learning course on the use of PRO measures in oncological practice: health care professionals’ preferences for learning content and methods
Authors: Sztankay Monika , Wintner Lisa M. , Roggendorf Sigrid , Nordhausen Thomas , Dirven Linda , Taphoorn Martin J. B. , Verdonck-de Leeuw Irma M. , Velikova Galina , Bottomley Andrew , Kulis Dagmara , Kachel Timo , Schmidt Heike ,   on behalf of the EORTC Quality of Life Group
Published: November 2021

Abstract
Purpose
Implementation of patient-reported outcome measures (PROMs) in clinical routine requires knowledge and competences regarding their use. In order to facilitate implementation, an e-learning course for health care professionals (HCPs) on the utilisation of European Organisation for Research and Treatment of Cancer (EORTC) PROMs in oncological clinical practice is being developed. This study aimed to explore future users’ educational needs regarding content and learning methods.

Methods
The sequential mixed methods approach was applied. A scoping literature review informed the guideline for qualitative interviews with HCPs with diverse professional backgrounds in oncology and cancer advocates recruited using a purposive sampling strategy. An international online survey was conducted to validate the qualitative findings.

Results
Between December 2019 and May 2020, 73 interviews were conducted in 9 countries resulting in 8 topic areas (Basic information on PROs in clinical routine, Benefits of PRO assessments in clinical practice, Implementation of PRO assessments in clinical routine, Setup of PRO assessments for clinical application, Interpretation of PRO data, Integration of PROs into the communication with patients, Use of PROs in clinical practice, Self-management recommendations for patients based on PROs) subsequently presented in the online survey. The online survey (open between 3 June and 19 July 2020) was completed by 233 HCPs from 33 countries. The highest preference was indicated for content on interpretation of PRO data (97%), clinical benefits of assessing PRO data (95.3%) and implementation of routine PRO data assessment (94.8%). Regarding learning methods, participants indicated a high preference for practical examples that use a mixed approach of presentation (written, audio, video and interactive).

Conclusion
Educational needs for an integration of PROs in communication in clinical care and coherent implementation strategies became evident. These results inform the development of an e-learning course to support HCPs in the clinical use of EORTC PRO measures.
Small area estimation of socioeconomic indicators for sampled and unsampled domains
Authors: Burgard Jan Pablo , Morales Domingo , Wölwer Anna-Lena 
Published: November 2021

AbstractSocioeconomic indicators play a crucial role in monitoring political actions over time and across regions. Income-based indicators such as the median income of sub-populations can provide information on the impact of measures, e.g., on poverty reduction. Regional information is usually published on an aggregated level. Due to small sample sizes, these regional aggregates are often associated with large standard errors or are missing if the region is unsampled or the estimate is simply not published. For example, if the median income of Hispanic or Latino Americans from the American Community Survey is of interest, some county-year combinations are not available. Therefore, a comparison of different counties or time-points is partly not possible. We propose a new predictor based on small area estimation techniques for aggregated data and bivariate modeling. This predictor provides empirical best predictions for the partially unavailable county-year combinations. We provide an analytical approximation to the mean squared error. The theoretical findings are backed up by a large-scale simulation study. Finally, we return to the problem of estimating the county-year estimates for the median income of Hispanic or Latino Americans and externally validate the estimates.
Oral bioavailability reveals an overestimation of the toxicity of polycyclic aromatic hydrocarbons in atmospheric particulate matter
Authors: Sánchez-Piñero Joel , Gómez-Meijide Paula , Concha-Graña Estefanía , Moreda-Piñeiro Jorge , Muniategui-Lorenzo Soledad , López-Mahía Purificación 
Published: November 2021

AbstractPolycyclic aromatic hydrocarbons (PAHs) in atmospheric particulate matter have adverse effects on human health, yet total PAH concentrations should overestimate the toxicity compared to the bioavailable amount of PAHs. To explore this hypothesis, we measured PAHs oral bioavailability in vitro in particulate matter with aerodynamic diameter lower than 10 µm (PM10) using a test that mimics the human digestive system. This assay combines the use of simulated gastrointestinal fluids and a dialysis membrane to simulate intestinal absorption. Results show that oral PAH bioavailability was below 5%, with fluorene, anthracene, acenaphthene and phenanthrene as the most bioavailable PAHs. Data suggest no carcinogenic risk of oral bioavailable PM10-bound PAHs following a health risk assessment via inhalation-ingestion by using benzo(a)pyrene-equivalent carcinogenic concentration and hazard indexes. To our best knowledge, this is the first research study of in vitro oral bioavailability estimation of PM10-associated PAHs.
PD-L1 blockade exhibits anti-tumor effect on brain metastasis by activating CD8+ T cells in hematogenous metastasis model with lymphocyte infusion
Authors: Masuda Chinami , Morinaga Mamiko , Wakita Daiko , Yorozu Keigo , Kurasawa Mitsue , Sugimoto Masamichi , Kondoh Osamu 
Published: November 2021

AbstractBrain metastases are common complication in cancer patients. Immune checkpoint inhibitors show therapeutic benefits also in patients with central nervous system (CNS) metastases. However, their antitumor effects on metastatic tumors and their underlying mechanisms are still poorly understood. In this study we investigated the antitumor effect of anti-programmed death-ligand 1 (PD-L1) antibody on metastatic brain tumors and evaluated immune responses during treatment. We employed a hematogenous brain metastasis xenograft model using immunodeficient mice with murine lymphocyte infusions. A human non-small-cell lung cancer (NSCLC) cell line stably expressing NanoLuc® reporter (Nluc-H1915) was inoculated from the internal carotid artery of SCID mice. After metastases were established (24 days after inoculation), splenocytes prepared from H1915-immunized BALB/c mice were injected intravenously and mouse IgG or anti-PD-L1 antibody treatment was started (day 1). Evaluated by Nluc activity, tumor volume in the brain on day 14 was significantly lower in anti-PD-L1-treated mice than in mouse IgG-treated mice. Furthermore CD8+ cells were primarily infiltrated intratumorally and peritumorally and anti-PD-L1 treatment induced a significantly higher proportion of Granzyme B (GzmB)+ cells among CD8+ T cells. The antitumor effect of anti-PD-L1 antibody on brain metastasis is thought to be achieved by the enhanced activation of infiltrated CD8+ T cells into metastatic brain tumor. These results suggest that anti-PD-L1 antibody-containing regimens may be promising treatment options for cancer patients with brain metastases.
Educational usage of Facebook and academic achievement in distance university students: Mediated by basic needs satisfaction
Authors: Yotyodying Sittipan , Dettmers Swantje , Erdal Kerstin , Jonkmann Kathrin 
Published: November 2021

AbstractFacebook has been widely used among students, not only for socializing, but also for educational purposes. However, it is much less clear whether educational usage of Facebook would be beneficial for student academic achievement, especially in distance education. This paper examined whether different types of educational usage of Facebook would be differentially connected with academic achievement of distance university students. Unlike previous studies, we distinguished between the quantity and the quality of educational usage of Facebook: The former is concerned with time spent, while the latter includes three types of educational utilities offered by Facebook (communication, collaboration, and resource sharing). Taking a self-determination theory perspective, we also examined whether the connection between different types of educational usage of Facebook and academic achievement would be mediated by basic needs satisfaction in distance study. A total of 274 distance university students participated in an online survey. A path analysis demonstrated that different types of educational usage of Facebook and academic achievement were not directly associated. However, a mediation analysis showed that competence need satisfaction (and no other needs) fully mediated some linkages: time spent to achievement, communication to achievement, and resource sharing to achievement. Findings and implications of this paper are discussed.
Cohen–Macaulay binomial edge ideals and accessible graphs
Authors: Bolognini Davide , Macchia Antonio , Strazzanti Francesco 
Published: November 2021

AbstractThe cut sets of a graph are special sets of vertices whose removal disconnects the graph. They are fundamental in the study of binomial edge ideals, since they encode their minimal primary decomposition. We introduce the class of accessible graphs as the graphs with unmixed binomial edge ideal and whose cut sets form an accessible set system. We prove that the graphs whose binomial edge ideal is Cohen–Macaulay are accessible and we conjecture that the converse holds. We settle the conjecture for large classes of graphs, including chordal and traceable graphs, providing a purely combinatorial description of Cohen–Macaulayness. The key idea in the proof is to show that both properties are equivalent to a further combinatorial condition, which we call strong unmixedness.
The Immune Deficiency and Dysregulation Activity (IDDA2.1 ‘Kaleidoscope’) Score and Other Clinical Measures in Inborn Errors of Immunity
Authors: Seidel Markus G. , Tesch Victoria K. , Yang Linlin , Hauck Fabian , Horn Anna Lena , Smolle Maria Anna , Quehenberger Franz , Benesch Martin 
Published: November 2021

AbstractQuantifying the phenotypic features of rare diseases such as inborn errors of immunity (IEI) helps clinicians make diagnoses, classify disorders, and objectify the disease severity at its first presentation as well as during therapy and follow-up. Furthermore, it may allow cross-sectional and cohort comparisons and support treatment decisions such as an evaluation for transplantation. On the basis of a literature review, we provide a descriptive comparison of ten selected scores and measures frequently used in IEI and divide these into three categories: (1) diagnostic tools (for Hyper-IgE syndrome, hemophagocytic lymphohistiocytosis, and Wiskott-Aldrich syndrome), (2) morbidity and disease activity measures (for common variable immune deficiency [CVID], profound combined immune deficiency, CTLA-4 haploinsufficiency, immune deficiency and dysregulation activity [IDDA], IPEX organ impairment, and the autoinflammatory disease activity index), and (3) treatment stratification scores (shown for hypogammaglobulinemia). The depth of preclinical and statistical validations varies among the presented tools, and disease-inherent and user-dependent factors complicate their broader application. To support a comparable, standardized evaluation for prospective monitoring of diseases with immune dysregulation, we propose the IDDA2.1 score (comprising 22 parameters on a 2–5-step scale) as a simple yet comprehensive and powerful tool. Originally developed for use in a retrospective study in LRBA deficiency, this new version may be applied to all IEI with immune dysregulation. Reviewing published aggregate cohort data from hundreds of patients, the IDDA kaleidoscope function is presented for 18 exemplary IEI as an instructive phenotype–pattern visualization tool, and an unsupervised, hierarchically clustered heatmap mathematically confirms similarities and differences in their phenotype expression profiles.
Sex-specific connectivity modelling for brown bear conservation in the Carpathian Mountains
Authors: García-Sánchez M. Pino , González-Ávila Sergio , Solana-Gutiérrez Joaquín , Popa Marius , Jurj Ramon , Ionescu Georgeta , Ionescu Ovidiu , Fedorca Mihai , Fedorca Ancuta 
Published: November 2021

Abstract
Context
Romania is currently one of the best-connected landscapes, with high-quality habitats and a high density of brown bears. However, regional development measures are needed for the nation’s economic growth, and without responsible government actions, these measures pose a threat to brown bear connectivity, a vital pillar of the entire Carpathian region. Despite having important implications for the species conservation, bears sex-specific behaviour has been overlooked in connectivity assessments.

Objectives
The study’s main goals were to (i) develop sex-specific distribution and connectivity models, (ii) assess the movement patterns differences between females and males, and (iii) identify high-quality areas to be secured for species connectivity conservation.

Methods
We designed a methodological framework based on interdisciplinary approaches and modelling tools for landscape connectivity combined with novel spatial analysis. Telemetry data of sixteen bears (females and males) were utilized to predict habitat selection (MaxEnt), and circuit-theoretic approaches (Circuitscape) were applied to identify the potential movement corridors of both sexes and high-priority areas.

Results
The obtained results provided new evidence on the uneven movement patterns and pathways used by males and females in the study region. Males’ movement preferences were related to river shores and dense forest coverage areas, avoiding urban areas, while females were predicted to move across forested and open areas and were more tolerant to human‐modified areas. Three high-quality areas were delineated for both sexes, and connectivity conservation efforts are needed due to the vicinity of anthropic pressures.

Conclusions
This study depicts the usefulness of combining interdisciplinary approaches and provides planners, managers, and decision-makers with practical solutions to address sustainable design and management within the intervened landscapes. Using separate female and male spatial models for leading management and conservation measures, setting connectivity targets within environmental and impact assessments while adopting conservation easements could secure a safety network for biodiversity conservation in the Carpathians.
Counterfeit patronage: human values, counterfeit experience and construal level
Authors: Bian Xuemei , Tantiprapart Yanisa , Chryssochoidis George , Wang Kai-Yu 
Published: November 2021

AbstractCounterfeit-related studies have revealed motivational drives for counterfeit consumption. Little is known concerning the implications of consumers’ enduring and normative beliefs about proper standards of conduct as the determinants of counterfeit patronage. Drawing on the Schwartz theory of human values, experience literature and construal level theory, this research investigates counterfeit patronage by addressing three crucially important questions: (1) what personal values determine counterfeit patronage; (2) how do these relationships vary as a function of counterfeit experience and (3) how do values have power in eliminating counterfeit consumption? Two studies provide robust evidence that self-transcendence values mitigate counterfeit patronage when consumers’ counterfeit experience is low. We also demonstrate that consumers who endorse self-transcendence values more exhibit higher levels of construal, which results in reduced counterfeit patronage.