bluuebunny/crossref_metadata_2025_split huggingface dataset:
Determinants of household food waste value in Indonesia: a study case on high education level parents
Authors: Pamela  , Nugraha A , Aritonang M , Hutajulu J P 
Published: December 2019

Abstract
In the world, amounting to about 1.3 billion tons is lost or wasted every year. This study used a quantitative method and descriptive analysis to find the determinants of consumer household food waste behavior in Indonesia. The study used multiple linear regression to found the significant factors that determined household food waste. The results were (1) knowledge of the parent, (2) recording of the shopping list, and (3) waste size become the factors that have a significant impact on waste value. The findings suggest that public advertisement about food waste could be generated knowledge of the parent, and the practice of management principle could be used on the food waste management on consumer behavior.
Utilization of liquid waste from freshwater fish cultivation in bioreactors batch culture system and biochar to increase lettuce plant production (Lactuca sativa L.)
Authors: Zaitun  , Halim A , Rahya S 
Published: December 2019

Abstract
The utilization of freshwater fish cultivation and agricultural wastes can be an alternative in increasing vegetable production. Freshwater fish waste can be used as liquid organic fertilizer, while agricultural waste in the form of rice husk can be used as biochar which has the potential to improve soil fertility. the The purpose of this study was to evaluate the treatment of watering freshwater fish waste as a liquid organic fertilizer that affects the production of lettuce plants, as well as to evaluate the rice husk biochar treatment that can affect the production of lettuce plants. This study used a factorial randomized block design with 3 replications. The factors used in this studied were Factor I: watering frequency of freshwater aquaculture wastewater, consisting of without watering wastewater (L0); watering twice a week (L1); and watering 4 times a week (L2); and Factor II: dosage of rice husk biochar, consisting of without rice husk biochar (B0); 10 g of rice husk biochar per polybag (B1); 20 g of rice husk biochar per polybag (B2). The result showed that:(1) liquid waste from freshwater fish cultivation in bioreactor batch culture system can be used as liquid organic fertilizer in lettuce cultivation, and (2) watering frequency of liquid organic fertilizer from freshwater aquaculture wastewater 4 times a week and rice husk biochar 20 g per polybag were the best treatment for lettuce yield.
The importance of ecocentrism to the level of environmental awareness for sustainable natural resources
Authors: Humaida N 
Published: December 2019

Abstract
Environmental ethics is a reflection of the moral principle between human beings and the natural environment. Ecocentrism, one of the environmental ethics, supports long-term environmental sustainability. This study aimed to determine the roles of ecocentrism toward the level of environmental awareness for sustainable use of natural resources. This descriptive research is to determine the association between the level of environmental awareness and environmental ethics. The study involved 30 students in Biology Education Department. Data were primarily collected using researcher-developed questionnaires. The level of environmental awareness was measured by using the Likert scale (1-5), based on the students’ positive contribution to their local environment in daily life. The problem-based interview was also added to determine which environmental ethics the students stood for (Ecocentrism or Anthropocentrism). The result showed 19 out of 30 students were dominated by anthropocentrism rather than ecocentrism toward the environment. Chi-Square analysis showed that there is no significant association between the level of environmental awareness and environmental ethics. People can have the same level of environmental awareness, but different environmental ethics. Ecocentrism needs to be promoted more in academics for sustainable use of natural resources not only for the present generation but also for the future generation.
Effects of single vacancy on electronic properties of blue-phosphorene nanotubes
Authors: Vergara J M , Flórez E , Mora-Ramos M E , Correa J D 
Published: December 2019

Abstract
We investigate the electronic properties of blue-phosphorene nanotubes using density functional theory first-principle calculations, taking into account, in particular, the presence of atom vacancies in the structure. The study considers both zigzag and armchair achiral configurations and reports on the structure and the electron energy states of the nanostructure. Compared to pristine blue-phosphorene nanotubes, which exhibit values of the fundamental bandgap between one and two electron-volts. For atomic single vacancies, the incorporation of spin-polarization helps to identify the induction of localized mid-gap states in the blue phosphorene nanotubes. The difference of energy between the highest near-valence and lower near-conduction localized states is, approximately, of 0.5 eV. Also the increase of the single vacancies concentration leads to the formation of additional bands that change the energy gap of the system.
MatchMixeR: a cross-platform normalization method for gene expression data integration
Authors: Zhang Serin , Shao Jiang , Yu Disa , Qiu Xing , Zhang Jinfeng 
Published: December 2019

AbstractMotivationCombining gene expression (GE) profiles generated from different platforms enables previously infeasible studies due to sample size limitations. Several cross-platform normalization methods have been developed to remove the systematic differences between platforms, but they may also remove meaningful biological differences among datasets. In this work, we propose a novel approach that removes the platform, not the biological differences. Dubbed as ‘MatchMixeR’, we model platform differences by a linear mixed effects regression (LMER) model, and estimate them from matched GE profiles of the same cell line or tissue measured on different platforms. The resulting model can then be used to remove platform differences in other datasets. By using LMER, we achieve better bias-variance trade-off in parameter estimation. We also design a computationally efficient algorithm based on the moment method, which is ideal for ultra-high-dimensional LMER analysis.ResultsCompared with several prominent competing methods, MatchMixeR achieved the highest after-normalization concordance. Subsequent differential expression analyses based on datasets integrated from different platforms showed that using MatchMixeR achieved the best trade-off between true and false discoveries, and this advantage is more apparent in datasets with limited samples or unbalanced group proportions.Availability and implementationOur method is implemented in a R-package, ‘MatchMixeR’, freely available at: https://github.com/dy16b/Cross-Platform-Normalization.Supplementary informationSupplementary data are available at Bioinformatics online.
The Elephant in the Room: Race and STEM Diversity
Authors: Miriti Maria N 
Published: December 2019

Abstract
Despite considerable efforts to enhance participation of underrepresented demographics, participation of scholars of color in STEM remains stagnant. In contrast to other academic disciplines, the experiences of STEM scholars of color are relatively unvoiced, which hinders examination of the factors that reduce participation and retention. Social science and education research reveal the importance of intersectional strategies to address institutional and cultural practices that reduce diverse participation. Institutional change requires the support of the STEM workforce. I summarize important issues that influence recruitment and retention and offer strategies that can improve recruitment and retention of faculty of color. Broad awareness among STEM practitioners of the relationship between race and the biases that reduce recruitment and retention of underrepresented scholars can support STEM diversity initiatives.
Combined centrality measures for an improved characterization of influence spread in social networks
Authors: Şimşek Mehmet , Meyerhenke Henning 
Published: December 2019

AbstractInfluence Maximization (IM) aims at finding the most influential users in a social network, that is, users who maximize the spread of an opinion within a certain propagation model. Previous work investigated the correlation between influence spread and nodal centrality measures to bypass more expensive IM simulations. The results were promising but incomplete, since these studies investigated the performance (i.e. the ability to identify influential users) of centrality measures only in restricted settings, for example, in undirected/unweighted networks and/or within a propagation model less common for IM. In this article, we first show that good results within the Susceptible-Infected-Removed propagation model for unweighted and undirected networks do not necessarily transfer to directed or weighted networks under the popular Independent Cascade (IC) propagation model. Then, we identify a set of centrality measures with good performance for weighted and directed networks within the IC model. Our main contribution is a new way to combine the centrality measures in a closed formula to yield even better results. Additionally, we also extend gravitational centrality (GC) with the proposed combined centrality measures. Our experiments on 50 real-world data sets show that our proposed centrality measures outperform well-known centrality measures and the state-of-the art GC measure significantly.
Plant hydraulic traits reveal islands as refugia from worsening drought
Authors: Ramirez Aaron R , De Guzman Mark E , Dawson Todd E , Ackerly David D 
Published: December 2019

AbstractRelatively mesic environments within arid regions may be important conservation targets as ‘climate change refugia’ for species persistence in the face of worsening drought conditions. Semi-arid southern California and the relatively mesic environments of California’s Channel Islands provide a model system for examining drought responses of plants in potential climate change refugia. Most methods for detecting refugia are focused on ‘exposure’ of organisms to certain abiotic conditions, which fail to assess how local adaptation or acclimation of plant traits (i.e. ‘sensitivity’) contribute to or offset the benefits of reduced exposure. Here, we use a comparative plant hydraulics approach to characterize the vulnerability of plants to drought, providing a framework for identifying the locations and trait patterns that underlie functioning climate change refugia. Seasonal water relations, xylem hydraulic traits and remotely sensed vegetation indices of matched island and mainland field sites were used to compare the response of native plants from contrasting island and mainland sites to hotter droughts in the early 21st century. Island plants experienced more favorable water relations and resilience to recent drought. However, island plants displayed low plasticity/adaptation of hydraulic traits to local conditions, which indicates that relatively conserved traits of island plants underlie greater hydraulic safety and localized buffering from regional drought conditions. Our results provide an explanation for how California’s Channel Islands function as a regional climate refugia during past and current climate change and demonstrate a physiology-based approach for detecting potential climate change refugia in other systems.
Left ventricular function monitoring in heart failure
Authors: Čelutkienė Jelena , Spoletini Ilaria , Coats Andrew J S , Chioncel Ovidiu 
Published: December 2019

Abstract
Imaging modalities are used for screening, risk stratification and monitoring of heart failure (HF). In particular, echocardiography represents the cornerstone in the assessment of left ventricular (LV) dysfunction. Despite the well-known limitations of LV ejection fraction, this parameter, repeated assessment of LV function is recommended for the diagnosis and care of patients with HF and provides prognostic information. Left ventricular ejection fraction (LVEF) has an essential role in phenotyping and appropriate guiding of the therapy of patients with chronic HF. This document reflects the key points concerning monitoring LV function discussed at a consensus meeting on physiological monitoring in the complex multi-morbid HF patient under the auspices of the Heart Failure Association of the ESC.
Who approves/pays for additional monitoring?
Authors: Rosano Giuseppe M C , Spoletini Ilaria , Vitale Cristiana 
Published: December 2019

Abstract
Major considerations in the provision of healthcare are availability, affordability, accessibility, and appropriateness, especially in the setting of heart failure where disease burden is growing, developments have been rapid and newer biomarkers, diagnostic and imaging techniques, monitoring systems, devices, procedures, and drugs have all been developed in a relatively short period of time. Many monitoring and diagnostic systems have been developed but the disproportionate cost of conducting trials of their effectiveness has limited their uptake. There are added complexities, in that the utilization of doctors for the supervision of the monitoring results may be optimal in one setting and not in another because of differences in the characteristics of organization of healthcare provision, making even interpretation of the trials we have had, still difficult to interpret. New technologies are continuously changing the approach to healthcare and will reshape the structure of the healthcare systems in the future. Mobile technologies can empower patients and carers by giving them more control over their health and social care needs and reducing their dependence on healthcare professionals for monitoring their health, but a significant problem is the integration of the multitude of monitored parameters with clinical data and the recognition of intervention thresholds. Digital technology can help, but we need to prove its cost/efficacy and how it will be paid for. Governments in many European countries and worldwide are trying to establish frameworks that promote the convergence of standards and regulations for telemedicine solutions and yet simultaneously health authorities are closely scrutinizing healthcare spending, with the objective of reducing and optimizing expenditure in the provision of health services. There are multiple factors to be considered for the reimbursement models associated with the implementation of physiological monitoring yet it remains a challenge in cash-strapped health systems.
Loneliness Following Widowhood: The Role of the Military and Social Support
Authors: King Brittany M , Carr Dawn C , Taylor Miles G 
Published: December 2019

Abstract

Objectives
Increased loneliness is a common consequence of widowhood in later life. However, individuals with high levels of perceived social support from friends tend to cope more effectively following major social losses like widowhood. Military service is associated with cultivation of strong social support structures. This effect may not only influence those who serve, but also their spouses. Roughly half of older women today are married to veterans, which could shape how they cope with widowhood. We tested two hypotheses: (a) widows of veterans will be less lonely following widowhood compared to their nonveteran counterparts, and (b) this effect will be explained by perceived social support from friends.

Methods
We used the Health and Retirement Study (HRS) to examine changes in loneliness following widowhood among wives of veterans and nonveterans. We used Ordinary Least Squares regression and mediation tests to address our hypotheses.

Results
Net of baseline differences, widows of veterans reported statistically lower levels of loneliness (p &lt; .05) following widowhood compared to widows of nonveterans. Widows of veterans retained the same level of perceived social support from friends pre- and postwidowhood, whereas nonveteran wives experienced a loss. Perceived social support from friends mediated the association between veteran status of the deceased spouse and loneliness.

Discussion
Our findings suggest wives of veterans may have more resilient social support structures than nonveteran spouses, helping them cope at widowhood. Future research should explore whether these effects persist in association with other major stressful events in later life.
Technology Adaptivity Mediates the Effect of Technology Biography on Internet Use Variability
Authors: Seifert Alexander , Kamin Stefan T , Lang Frieder R 
Published: December 2019

Abstract

Background and Objectives
Increasing numbers of older adults use the internet, but relatively little is known about the range and determinants of different online activities among older internet users. This study explores the interplay between technology-related biographical experiences and subjective technology adaptivity to explain the variability of internet use. Older adults who report having had more biographical experiences with technologies were expected to use a greater range of online activities. In addition, subjective technology adaptivity was expected to serve as a mediator of this relationship.

Research Design and Methods
The analyses are based on a sample of 707 community-dwelling older participants of the University of the Third Age between 60 and 95 years of age (mean age = 72.49 years; 48% female) who use the internet. The measures include self-reports of online activities, technology-related biographical experiences, subjective technology adaptivity, and personal characteristics (age, gender, education, income, living-together status, and subjective health). Correlations and a path model with mediator effects were used to explore the research hypothesis.

Results
The bivariate effects on the variability of internet use showed that study subjects participated in a greater range of online activities when they lived together with other people and were male, younger, and had higher levels of subjective technology adaptivity, technology-related biographical experiences, and educational level. The direct effects on the mediator show higher levels of subjective technology adaptivity for people who reported greater technology-related biographical experiences and for those who reported higher levels of subjective health.

Discussion and Implications
The results show that the positive association between people’s past experiences with and stances toward technology in their own lifetimes and their range of diverse internet activities is mediated by subjective technology adaptivity. The findings also help to illustrate which biographical factors and which current individual factors explain differences in actual online behavior.
The birth of a baby with mosaicism resulting from a known mosaic embryo transfer: a case report
Authors: Kahraman Semra , Cetinkaya Murat , Yuksel Beril , Yesil Mesut , Pirkevi Cetinkaya Caroline 
Published: December 2019

Abstract
Mosaic embryos have the potential to implant and develop into healthy babies. The transfer of mosaic embryos is now considered to be a possible option for women undergoing ART with preimplantation genetic testing for aneuploidies and in the absence of euploid embryos, particularly those with diminished ovarian reserve and/or advanced maternal age. It can aid in avoiding the discard of potentially viable embryos, which might otherwise result in healthy babies. In over 500 studies on mosaicism, there have been no reports of mosaicism in babies born following the transfer of mosaic embryos. Here, we present a case report of a 39-year-old woman with diminished ovarian reserve with only one blastocyst available for trophectoderm biopsy. The transfer of the embryo, which showed 35% mosaicism of monosomy 2, resulted in pregnancy. Amniocentesis revealed a mosaic trisomic mos46,XX(98)/47,XX,+2(2) karyotype. There were no pathological findings in detailed ultrasonography, and the fetus showed a normal fetal growth with no evidence of intrauterine growth retardation. A healthy female baby was born at Week 37. The peripheral blood chromosome analysis validated with fluorescence in situ hybridization showed 2% mosaic monosomy 2 [mos45,XX,-2(2)/46,XX(98)]. This is the first reported case of true fetal mosaicism resulting in a live birth following the transfer of a known mosaic embryo. Worldwide, prenatal diagnosis has shown the depletion of mosaicism in embryos transferred after they have been reported as mosaics. Our case demonstrates the need for close prenatal monitoring and diagnosis by early amniocentesis, preferably at &gt;14 weeks gestation.
Mediastinal teratoma presenting with respiratory distress and cardiogenic shock in a neonate
Authors: Stajevic Mila , Dizdarevic Ivan , Krunic Igor , Topic Vesna 
Published: December 2019

Abstract
Mediastinal teratomas are uncommon, fast-growing thoracic tumours, which are usually diagnosed in childhood or adolescence. Neonatal forms are the rarest and often present with life-threatening respiratory distress syndrome. In our case, respiratory failure in a neonate was aggravated by severe cardiogenic shock due to aortic and systemic venous compression, extreme heart displacement and rotation, necessitating an emergency operation on the first day of life.
Physician understanding, explainability, and trust in a hypothetical machine learning risk calculator
Authors: Diprose William K , Buist Nicholas , Hua Ning , Thurier Quentin , Shand George , Robinson Reece 
Published: December 2019

Abstract

Objective
Implementation of machine learning (ML) may be limited by patients’ right to “meaningful information about the logic involved” when ML influences healthcare decisions. Given the complexity of healthcare decisions, it is likely that ML outputs will need to be understood and trusted by physicians, and then explained to patients. We therefore investigated the association between physician understanding of ML outputs, their ability to explain these to patients, and their willingness to trust the ML outputs, using various ML explainability methods.

Materials and Methods
We designed a survey for physicians with a diagnostic dilemma that could be resolved by an ML risk calculator. Physicians were asked to rate their understanding, explainability, and trust in response to 3 different ML outputs. One ML output had no explanation of its logic (the control) and 2 ML outputs used different model-agnostic explainability methods. The relationships among understanding, explainability, and trust were assessed using Cochran-Mantel-Haenszel tests of association.

Results
The survey was sent to 1315 physicians, and 170 (13%) provided completed surveys. There were significant associations between physician understanding and explainability (P &lt; .001), between physician understanding and trust (P &lt; .001), and between explainability and trust (P &lt; .001). ML outputs that used model-agnostic explainability methods were preferred by 88% of physicians when compared with the control condition; however, no particular ML explainability method had a greater influence on intended physician behavior.

Conclusions
Physician understanding, explainability, and trust in ML risk calculators are related. Physicians preferred ML outputs accompanied by model-agnostic explanations but the explainability method did not alter intended physician behavior.