bluuebunny/crossref_metadata_2025_split huggingface dataset:
An open label, randomized phase 2 trial assessing the impact of food on the tolerability of abemaciclib in patients with advanced breast cancer
Authors: Lim Elgene , Boyle Frances , Okera Meena , Loi Sherene , Goksu Sema Sezgin , van Hal Gertjan , Chapman Sonya C. , Gable Jonathon Colby , Chen Yanyun , Price Gregory L. , Hossain Anwar M. , Gainford M. Corona , Ezquerra Meritxell Bellet 
Published: August 2022

Abstract
Purpose
Abemaciclib, a CDK4 & 6 inhibitor, is indicated for advanced breast cancer treatment. Diarrhea is a frequently associated adverse event of abemaciclib. The study objective was to investigate if food intake impacts local gastrointestinal toxicity.

Methods
This Phase 2 study (I3Y-MC-JPCP, NCT03703466) randomized 72 patients 1:1:1 to receive abemaciclib 200 mg monotherapy twice daily (1) with a meal, (2) in a modified fasting state or (3) without regard to food. Primary endpoints included: incidence of investigator assessed severe (≥ Grade 3), prolonged (> 7 days) Grade 2 diarrhea, treatment discontinuation, dose modifications, and loperamide utilization during the first 3 cycles of treatment. Patient outcomes were captured via a daily electronic diary. Pharmacokinetics (PK) are reported.

Results
Incidence of investigator assessed severe diarrhea (Grade ≥ 3) was 1.4% (1 patient in Arm 1). Median duration of Grade 3 diarrhea was 1 day by both investigator assessment (1 patient in Arm 1) and patient-reported assessment (1 patient each in Arms 1 and 3). Median duration of investigator-assessed Grade 2 diarrhea was 2 days overall. No patient discontinued treatment due to diarrhea. Nine patients (12.7%) had a dose reduction, and 7 patients (9.9%) had a dose omission due to diarrhea. Ninety-four percent of patients used loperamide at least once. Abemaciclib PK was comparable across the 3 arms.

Conclusion
The results suggest that diarrhea incidence associated with abemaciclib was unrelated to timing of food intake, was predominantly low grade, of short duration and well managed with loperamide and dose modifications.
Educate to transform: An innovative experience for faculty training
Authors: Sanz Noemy Martín , Urías María Dolores Vivas , Salgado Leire Nuere , Benítez Noelia Valle , Martínez María Consuelo Valbuena 
Published: August 2022

Abstract
Learning-focussed educational models require the development of pedagogical, methodological, assessment and technological competences among the faculty community. The COVID-19 pandemic has accentuated the need for this training. This study evaluates the impact of the training project “Educate to Transform” on teacher attitudes, knowledge and on the implementation of innovative teaching methodologies. There were 695 faculty participants in the program conducted at the Universidad Francisco de Vitoria (UFV). Participants included full-time professors (FULL-PROF) and part-time professors (PART-PROF). The measurement instrument was validated using the entire sample and a subsample of 357 participants was used to analyse the impact of the program (pre and post measurement). Professor attitudes and knowledge of or familiarity with innovative methodologies and their application in the classroom were evaluated. The findings show that the program improved the attitudes of teachers towards innovation, raised the level of awareness and number of methodologies implemented in the classroom. The methodology towards more experiential and collaborative learning is effective in transforming teaching practice. Furthermore, the implementation of the program through the CANVAS platform, making teachers live the experience as learners, seems to have contributed to improve the teachers' attitude towards the LMS. The only difference found among the participants was a worse attitude towards innovation on the part of medical teachers, with a clearly differentiated profile of teachers and students, as well as a greater implementation of active methodologies by teachers with a lower teaching load. Overall, it may be concluded that the program achieved its proposed objectives.
Shallow katabatic flow on a non-uniformly cooled slope
Authors: Hewitt Richard , Unadkat Jay , Wise Anthony 
Published: August 2022

AbstractWe examine katabatic flow driven by a non-uniformly cooled slope surface but unaffected by Coriolis acceleration. A general formulation is given, valid for non-uniform surface buoyancy distributions over a down-slope length scale $$L\gg \delta _0$$

L
≫

δ
0

, where $$\delta _0=\nu /(N\sin \alpha )^{1/2}$$

δ
0

=
ν
/

(
N
sin
α
)

1
/
2

is the slope-normal Prandtl depth, for a kinematic viscosity $$\nu$$
ν
, buoyancy frequency N and slope angle $$\alpha$$
α
. We demonstrate that the similarity solution of Shapiro and Fedorovich (J Fluid Mech 571:149–175, 2007) can remain quantitatively relevant local to the end of a non-uniformly cooled region. The usefulness of the steady similarity solution is determined by a spatial eigenvalue problem on the L length scale. Broadly speaking, there are also two modes of temporal instability; stationary down-slope aligned vortices and down-slope propagating waves. By considering the limiting inviscid stability problem, we show that the origin of the vortex mode is spatial oscillation of the buoyancy profile normal to the slope. This leads to vortex growth in a region displaced from the slope surface, at a point of buoyancy inflection, just as the propagating modes owe their existence to an inflectional velocity. Non-uniform katabatic flows that detrain fluid to the ambient are shown to further destabilise the vortex mode whereas entraining flows lead to weaker vortex growth rates. Rayleigh waves dominate in general, but the vortex modes become more significant at small slope angles and we quantify their relative growth rates.
Effects of human-induced water level fluctuations on copepod assemblages of the littoral zone of Lake Maggiore
Authors: Cifoni Marco , Boggero Angela , Rogora Michela , Ciampittiello Marzia , Martínez Alejandro , Galassi Diana Maria Paola , Fiasca Barbara , Di Lorenzo Tiziana 
Published: August 2022

AbstractHuman-induced water level fluctuations (WLFs) are among the major pressures threatening lake ecosystems. Their effect on meiobenthic species of the littoral zone has been poorly investigated. In this study, we aimed at assessing the effects of human-induced WLFs on the composition and functionality of the benthic copepod assemblages of the littoral zone of Lake Maggiore, Italy and Switzerland. From 1942 to present, the water level of Lake Maggiore has been regulated through the Miorina Dam. We monitored copepod assemblages during different water levels defined within the period of regulation by the dam, using taxonomy- and trait-based metrics. We observed variation in the overall abundance and biomass of copepods, as well as in the number of individuals belonging to some trait classes such as ovigerous females, opportunists, omnivores and deposit feeders. None of the investigated trait class was completely lost. The results of our study suggest that ecosystem services supplied by the littoral zone of Lake Maggiore are likely altered by human-induced WLFs. Our findings provide a first picture of WLF impacts on benthic copepod assemblages, which can be useful for future research expanding on other functional traits.
Money in one click: Inequalities in digital financial practices and digital Skills among emerging adults in Switzerland
Authors: Baudat Sophie , Henchoz Caroline 
Published: August 2022

AbstractAlthough Internet is becoming a medium for all economic activities, inequalities in digital financial practices among youth have received little attention. Using a sample of emerging adults in Switzerland (18–29 years, N = 385), the latent class analysis used in this study offers a unique opportunity to identify different configurations of digital economic practices considering that online money consumption, management, and production are closely related. The analysis reveals four classes of digital economic practices that reflect different user profiles: Regular Consumers (60.5%), Occasional Consumers (20.8%), Moderate Managers (15.1%), and Active Users (3.6%). Class membership is associated with some of the sociodemographic characteristics as well as digital skills of emerging adults. Our findings suggest that prevention and financial education programs should be adapted to the different user profiles and focus more specifically on occasional digital financial users who come from less privileged backgrounds and have the fewest digital skills.
CVEM-BEM Coupling with Decoupled Orders for 2D Exterior Poisson Problems
Authors: Desiderio Luca , Falletta Silvia , Ferrari Matteo , Scuderi Letizia 
Published: August 2022

AbstractFor the solution of 2D exterior Dirichlet Poisson problems, we propose the coupling of a Curved Virtual Element Method (CVEM) with a Boundary Element Method (BEM), by using decoupled approximation orders. We provide optimal convergence error estimates, in the energy and in the weaker $$\textit{L}^\text {2}$$

L
2

-norm, in which the CVEM and BEM contributions to the error are separated. This allows for taking advantage of the high order flexibility of the CVEM to retrieve an accurate discrete solution by using a low order BEM. The numerical results confirm the a priori estimates and show the effectiveness of the proposed approach.
An overview of computational tools for preparing, constructing and using resistance surfaces in connectivity research
Authors: Dutta Trishna , Sharma Sandeep , Meyer Ninon F. V. , Larroque Jeremy , Balkenhol Niko 
Published: August 2022

Abstract
Context
Connectivity between habitat patches is a recognized conservation action to conserve biodiversity in a rapidly changing world. Resistance surfaces, a spatial representation of cost of movement across the landscape, are often the foundation for connectivity analyses but working with them can be daunting due to the diversity and complexity of software tools.

Objectives
We present an overview of the steps involved when working with resistance surfaces, identify tools that perform specific tasks, evaluate user experience with the tools, identify needs of the user community, and present some recommendations for users and developers.

Methods
We identified tools applicable at each of the three steps (i) preparing data, (ii) constructing and optimizing surfaces, and (iii) using resistance surfaces. We conducted an online survey of the connectivity user community to assess the popularity and experience with tools on five criteria and identified characteristics important in the selection of connectivity tools.

Results
We reviewed a total of 43 tools, of which 10 are useful for data preparation, 27 allow construction, and 30 tools that use resistance surfaces. A total of 148 survey participants working in 40 countries were familiar with 37 tools. Tools are ranked heterogeneously for the five criteria. Crucial avenues for future development of connectivity tools identified by respondents are incorporation of uncertainties, dynamic connectivity modelling, and automated parameter optimization.

Conclusions
Since resistance surfaces are used for a variety of applications, it is important that users are aware about the appropriate tools. We anticipate that future tools for connectivity research will incorporate more complex and biologically more realistic analytical approaches.
Vegetation indices as a Tool for Mapping Sugarcane Management Zones
Authors: de Oliveira Maia Felipe Cardoso , Bufon Vinícius Bof , Leão Tairone Paiva 
Published: August 2022

AbstractIn precision agriculture, the adoption of management zones (MZs) is one of the most effective strategies for increasing agricultural efficiency. Currently, MZs in sugarcane production areas are classified based on conventional soil sampling, which demands a lot of time, labor and financial resources. Remote sensing (RS) combined with vegetation indices (VIs) is a promising alternative to support the traditional classification method, especially because it does not require physical access to the areas of interest, is cost-effective and less labor-intensive, and allows fast and easy coverage of large areas. The objective of this study was to evaluate the ability of the normalized difference vegetation index (NDVI) and the two-band enhanced vegetation index (EVI2) to classify sugarcane MZs, compared with the conventional method, in the Brazilian Cerrado biome (savannah), where about half of Brazil´s sugarcane production takes place. This study used historical crop production data from 5,500 production fields in three agricultural years (2015 to 2018) and NDVI and EVI2 values of 14 images acquired by the Landsat 8 satellite from 2015 to 2018 in Google Earth Engine (GEE). Although improvements are still necessary and encouraged, a new methodology of classifying MZs according to VIs was proposed in this study. The NDVI was not correlated with MZs classified using the conventional method, whereas EVI2 was more sensitive to biomass variations between MZs and, therefore, could better discriminate between MZs. The EVI2 values measured in crops aged 180 to 240 days in the rainy season proved to be the best strategy for classifying MZs by RS, where MZ A, for example, had EVI2 of 0.37, compared to MZ E, which had an EVI2 of 0.32.
Agency as conversion process
Authors: Bazzani Giacomo 
Published: August 2022

AbstractIts importance for understanding social dynamics notwithstanding, the concept of agency is one of sociology’s more controversial ideas. The debate around this concept has mostly been developed at a theoretical level and the empirical studies tend to rely on socio-psychological interpretations of agency as a stable, inner force capable of influencing prospects, decisions, and behavior with little room for change in agency capacity. Social sciences, though, should take a more dynamic stance on agency and highlight the role of the different elements of the social context that can enable or hinder individual agency capacity. Prompted by recent developments of the Capability Approach, this article proposes a framework for the study of agency that defines individual agency as the result of a conversion process of personal resources shaped by conversion factors. Conversion factors operate at micro, meso, and macro levels of analysis, each of which can be oriented toward past experiences, present conditions, and future prospects. This article also seeks to analytically distinguish three types of agency outcome: adaptation, autonomy, and influence. Such a framework will facilitate the transformation of the slippery notion of agency into more tractable empirical phenomena which increase its analytical and critical capacity.
How Hybrid Organizations Respond to Institutional Complexity: The Case of Norway
Authors: Sætre Hilde Svrljuga 
Published: August 2022

AbstractIn past decades, hybrid organizations and institutional complexity have received growing attention, yet questions remain about how hybrids manage institutional complexity in the Nordic welfare states. This article investigates how Norwegian social enterprises (SEs), a subset of hybrid organizations, internally manage contradictory demands when externally engaging with multiple logics. The data consists of interviews of leaders and staff members from five SEs, and the findings show that most institutional referents hold a public-sector logic which may crowd out the hybrid nature of SEs. Depending on the conflicting demands, SEs mix decoupling and selective coupling when responding to them. Some were also found to rely on the structural responses of organizational compartmentalization. Compared to the blended hybrids, the structural hybrids experience less internal tension when managing institutional complexity since logic compartmentalization allows the organizations to attend both to their in-use logic and at-play demands. The data yield compelling insights into how the Nordic welfare state may incite a specific configuration of SE where logic compartmentalization appears as a pragmatic choice.
Long-Term Dynamics of Voluntary Engagement: Differentiating Social Structural from Cohort and Period Effects
Authors: Jacobsen Jannes , Schieferdecker David , Gerstorf Denis , Hutter Swen , Specht Jule 
Published: August 2022

AbstractPrior research has suggested three explanations why levels of voluntary engagement rise and fall over time within societies. A social structural explanation considers individual resources crucial for engagement and argues that a redistribution of those resources may bring about changes in engagement. A cohort-based explanation considers socialisation and experiences in formative years as crucial for the uptake of engagement. Finally, a period-based explanation considers extraordinary events, external shocks, and crises to be crucial for engagement. So far, these explanations have mainly been tested separately and little is known about the relative strength of each of the proposed factors. Using data from a large German household panel survey that assessed engagement almost annually across four decades, we found that most social structural factors (e.g., education, employment, income) maintained their predictive effects for engagement, irrespective of cohort or period. The only notable exception was that the gender gap observed has narrowed substantially across periods and cohorts. Moreover, cohort effects were rendered almost negligible once we factored in periods. Taken together, our results suggest that individual characteristics and extraordinary events are the main factors influencing voluntary engagement rather than shared societal experiences of cohorts.
Storability of Irish Potato (Solanum tuberosum L.) Varieties Grown in Kenya, Under Different Storage Conditions
Authors: Gikundi Evelyne N. , Buzera Ariel K. , Orina Irene N. , Sila Daniel N. 
Published: August 2022

Abstract
Long-term use of fresh potatoes is constrained due to post-harvest losses and limited or poor storage systems. Loss of potato quality during storage is mostly due to weight loss, excessive sprouting, decaying, greening, pest attack and changes in sugar content which is a major concern for processors. The storability of three potato varieties namely Shangi, Unica, and Dutch Robijn was evaluated under four storage conditions: (1) room temperature (RT) (21.7 ± 5 °C) and ambient relative humidity (RH) (73.5 ± 6.7%); (2) 10 °C/75% RH; (3) 10 °C/ambient RH and (4) 7 °C/75% RH for 3 months. Parameters analysed included weight loss, sprouting, greening, rotting incidence and changes in simple sugars (sucrose, glucose and fructose) content. Shangi variety had the poorest storability having exhibited the highest weight loss, sprouting, greening and rotting rates among the varieties and in all storage conditions. In all the varieties, weight loss was highest at room temperature/RH (6.9–35.13%) and lowest at 7 °C/75% RH (1.6–3.7%). Sprouting rate was highest at RT/RH (100%) and lowest at 7 °C/75% RH (2.0–45.2%). Greening incidence was highest at RT/RH (10.3–24.0%) and lowest at 7 °C/75% RH (2.0–16.1%). The tubers accumulated simple sugars during storage with the highest relative accumulation recorded at 7 °C/75% RH. Total reducing sugars increased by 3.8–9.3-fold at RT/RH to 26.0–68.5-fold at 7 °C/75% RH. Low-temperature storage minimized the rate of physical tuber deterioration with 7 °C/75% RH best preserving the potatoes’ physical properties while it led to the highest accumulation of simple sugars.
Decadal Surface Changes and Displacements in Switzerland
Authors: Bickel Valentin Tertius , Manconi Andrea 
Published: August 2022

Abstract
Multi-temporal, high-resolution, and homogeneous geospatial datasets acquired by space- and/or airborne sensors provide unprecedented opportunities for the characterization and monitoring of surface changes on very large spatial scales. Here, we demonstrate how an off-the-shelf, open-source image correlation algorithm can be combined with SwissALTI3D LiDAR-derived elevation data from different tracking periods to create country-scale surface displacement and vertical change maps of Switzerland, including Liechtenstein, with minimal computational effort. The results show that glacier displacement and ablation make up the most significant fraction of the detected surface changes in the last two decades. In addition, we identify numerous landslides and other geomorphic features, as well as manmade changes such as construction sites and landfills. All produced maps and data products are available online, free of charge.
Nitrogen-doped, proton-exchanged Dion-Jacobson layered niobate perovskites for photocatalytic hydrogen generation in solar light
Authors: Kulischow Natalia , Ade Mirco , Weiss Morten , Marschall Roland 
Published: August 2022

AbstractWide band gap semiconductor niobate photocatalysts with Dion-Jacobson layered perovskite structure were nitrogen-doped via simple gas–solid reaction to extend their absorption into the visible light range. Nitrogen doping was performed using ammonia as precursor, resulting in decreased band gaps of doped AB2Nb3O10 compounds (A = Cs, Rb, K; B = Ca, Sr) down to 2.5 eV. The resulting materials were investigated concerning their chemical and electronic structures. Nitrogen-doped AB2Nb3O10 crystals showed a clear red shift in absorption. Photocatalytic performance tests for the doped materials evaluated the capability of H2 production under simulated solar irradiation. The addition of carbonates to the gas–solid reaction turned out to be advantageous for the reduction of defects and the preservation of photocatalytic activity of nitrogen-doped layered niobates AB2Nb3O10.
Graphical Abstract
Constraining active-sterile neutrino mixing via lepton flavor violating decays of mesons
Authors: Hu Shiyong , Wong Sam Ming-Yin , Xu Fanrong 
Published: August 2022

AbstractAs a hypothetic particle, a sterile neutrino can exist in types of new physics models. In this work by investigating flavor violating semileptonic and leptonic decays of K,D, and B mesons induced by the GeV scale sterile neutrino, we explore its allowed regions in parameter space. Analytically, we derive branching fractions of semileptonic decay $M^{+}_{h}\to M_{l}^{+}\ell _{1}^{+}\ell _{2}^{-}$

M

h

+

→

M

l

+

ℓ

1

+

ℓ

2

−

and leptonic decay $M^{0}\to \ell _{1}^{-}\ell _{2}^{+}$

M

0

→

ℓ

1

−

ℓ

2

+

, including the contribution from a new box diagram contribution due to the massive sterile neutrino. Imposing its mass ranges, we numerically analyze the active-sterile neutrino mixings in corresponding regions. We find that when the sterile neutrino mass is located in between pion and kaon mass, K+→π+e±μ∓ gives the strongest constraint while B+→π+e±μ∓ provides the dominated constraint when its mass in between of kaon and B meson. If the sterile neutrino is even heavier than Bmesons, the LHCb $B^{0}_{s}\to \mu ^{\pm } e^{\mp }$

B

s

0

→

μ

±

e

∓

results gives the strongest constraint.