bluuebunny/crossref_metadata_2025_split huggingface dataset:
Aquifer characteristic and groundwater hydrochemistry around South Cipete, DKI Jakarta Province, Indonesia
Authors: Nuryana S D , Nugraha D W A , Dian A , Kadyanto A 
Published: May 2020

Abstract
South Cipete area is a highly populated area, where the extraction of groundwater is very intensive, so that the allocation of groundwater has decreased in term of quality and quantity. The purpose of this study is to determine the type of aquifer and groundwater hydrochemistry. Research methods are including field observations, groundwater sampling, physical properties measurement and chemical analysis of the main ions. Based on the northwest-southeast cross section of lithology log, the aquifer types are: stressed aquifers composed of silt and sandstones; semi-stressed aquifers composed of clays and conglomerates at depths of 10 m to -15 m. From the southwest-northeastern cross section, the type of aquifer is: stressed aquifer composed of sandstones with clay; free aquifer buried by backfill materials and silt soils; and semi-stressed aquifers, surrounded by silt and clay sandstones. at the depths of ± 23 m to ± 3 m. Groundwater hydrochemistry in the sample SG/02, SG/04, SG/08 the dominant cations and anions are Na+ + K+ with a value of 56.56%; 57.13%; 25.03% and HCO3- at 26.91%. While in sample SG/06, SG/07 the dominant cations and anions are Mg2+ at 25.81%; 24.52% and anions SO42- at 32.70%; 30.96%.
Assessing of supply chain performance by adopting Supply Chain Operation Reference (SCOR) model
Authors: Prasetyaningsih E , Muhamad C R , Amolina S 
Published: May 2020

Abstract
This paper aims at an assessing of a supply chain performance by adopting the Supply Chain Operation Reference (SCOR) Model. The supply chain activities are divided into five core processes, i.e. plan, source, make, delivery and return. Each level of the SCOR model is weighted using Fuzzy Analytical Hierarchy Process (FAHP). The mapping of SCOR Model consists of 5 core processes at 1st level, 21 performance matrices at 2nd level, and 28 Key Performance Indicator (KPI) at 3th level. The result shows that the supply chain performance is 68,231. Referring to the performance indicators, the performance achieved by the supply chain at this time is in the average category. Proposed improvement strategies are designed based on lean supply chain principles, through the implementation of Gemba Kaizen which consists of 17 proposed strategies.
Conceptual model of start-up business for strengthening Madrasah funding using Dynamic System approaches
Authors: Prasetyaningsih E , Renosori P , Satori M 
Published: May 2020

Abstract
A start-up business is generally developed in a limited financial so that they grow slowly. It also happens on the Cassava Meatballs start-up business run by Madrasah Al-Binaa, one of an Islamic non-formal boarding school. Therefore, it is required some alternative tactics to provide the liquidity and get profits that will encourage the start-up business to grow, develop and be sustain. The start-up business contains some trade-offs so that this study uses Dynamic System approach to simulate the interrelationships among the variables. This study aims to develop a conceptual model of start-up business run by Madrasah Al-Binaa. It is expected that the conceptual model can represent the real system of the Madrasah start-up business. The conceptual model development is begun by observing the phenomena of the existing start-up business process, and then a causal loop diagram and their equations are built. The structure of the developed conceptual model consists of seven elements, i.e. customers, products, liquidity, debt, reputation, workers and household spending. The research method is descriptive analytics. The result shows that the developed model is different with the generic model. In the developed conceptual model, the entrepreneurs are not paid from private payoff, but allow to consider household spending.
Determining the regional potential sector using the Analytical Hierarchy Process (AHP)
Authors: Rukmana A N , Aviasti A , Amaranti R 
Published: May 2020

Abstract
The main problem faced by local governments in establishing regional development policies lies in determining the focus of development based on the uniqueness or potential of the region. Different potentials in terms of local human, institutional or physical resources cause different regional characteristics. Development policies in the regions must consider all the potential they have. Therefore, local governments must have the ability to identify which sectors are the strengths or weaknesses of their regions. Sectors that are considered regional superiority have prospects to be developed and encourage the development of other sectors. Meanwhile, a weak sector is not expected to be an obstacle to the development process. This research was conducted to create a model that can be used to determine the leading sectors of sub-districts in Bandung Regency. The identification of leading sectors is done using the Analytical Hierarchy Process (AHP) method. Three criteria with a total of 12 sub-criteria and six alternative sectors become the basis for determining the leading sector. Data collection was carried out by distributing questionnaires with competent district or district government staff respondents in each sector. The results of the study in four sub-districts found that each sub-district studied had a different leading sector.
Didactical design of Organic Light-Emitting Diodes based on the Nature of Science and Technology
Authors: Marsya R F , Mudzakir A , Khoerunnisa F 
Published: May 2020

Abstract
Nature of science and technology (NOST) used to explain the phenomena of science and technology and to explore the relation of science, technology, and society. Organic light-emitting diodes (OLED) technology was one of the latest technologies that could be integrated into NOST aspects and could be used to improve the chemistry learning process. The purpose of this research was to develop the didactical design of OLED, including validity. The qualitative method was used in this study. The validation involved 5 experts (lecturers) as validators using a validation sheet that contain the relevancy of learning objectives, planned didactic situation, predictions of students’ responses, and the anticipation of educators. The validation analyzed using the content validity ratio (CVR) and the content validity index (CVI). The result showed that the didactical design of OLED obtained the CVR value of 1.00 and the CVI value of 1.00. Based on the results, it could be concluded that the didactical design of OLED was appropriate to be implemented in chemistry learning that integrated the chemical concepts with the latest technology.
Implementation of learning instrument based on Lumion animation video to improve student learning outcome in building construction and utility course in SMKN 2 Garut
Authors: Setiawan F , Busono T , Siswoyo S 
Published: May 2020

Abstract
Learning Instrument based on animation video is an intermediary tool that may display certain object replica in form of moving animation. The use of properties in learning may stimulate visual of student to work actively absorbing whole material presented. The problems happened continuously on students of XI class in SMKN 2 Garut that do not comprehend the material optimally. The lecture and slide presentation method of learning that still rely on hearing sense tend to be outmoded. As a result, the instrument development is needed in order to overcome with the problems. The development of learning instrument based on animation video goals to improve student comprehension in basic competencies of bathroom/toilet detailed drawing, so that improve the learning outcome. The method used is Borg and Gall research and development method. The result is in form of instrument appropriateness that may be measured by the validation of instrument and material expert. The results are 88.75% for instrument and 92.50% for material in which is in category of “very descent”. Further, the usage test was conducted to find out the student response and outcome. The response shows that 24 students claimed “very agree” with an average percentage of 80.68%. Meanwhile, the average score of students’ outcome increased from 39.58 to 77.73. In conclusion, the usage test resulted gain index of 0.63 in improvement score of “Medium” range category.
Dynamic peptide-folding mediated biofunctionalization and modulation of hydrogels for 4D bioprinting
Authors: Aronsson Christopher , Jury Michael , Naeimipour Sajjad , Boroojeni Fatemeh Rasti , Christoffersson Jonas , Lifwergren Philip , Mandenius Carl-Fredrik , Selegård Robert , Aili Daniel 
Published: May 2020

Abstract
Hydrogels are used in a wide range of biomedical applications, including three-dimensional (3D) cell culture, cell therapy and bioprinting. To enable processing using advanced additive fabrication techniques and to mimic the dynamic nature of the extracellular matrix (ECM), the properties of the hydrogels must be possible to tailor and change over time with high precision. The design of hydrogels that are both structurally and functionally dynamic, while providing necessary mechanical support is challenging using conventional synthesis techniques. Here, we show a modular and 3D printable hydrogel system that combines a robust but tunable covalent bioorthogonal cross-linking strategy with specific peptide-folding mediated interactions for dynamic modulation of cross-linking and functionalization. The hyaluronan-based hydrogels were covalently cross-linked by strain-promoted alkyne-azide cycloaddition using multi-arm poly(ethylene glycol). In addition, a de novo designed helix-loop-helix peptide was conjugated to the hyaluronan backbone to enable specific peptide-folding modulation of cross-linking density and kinetics, and hydrogel functionality. An array of complementary peptides with different functionalities was developed and used as a toolbox for supramolecular tuning of cell-hydrogel interactions and for controlling enzyme-mediated biomineralization processes. The modular peptide system enabled dynamic modifications of the properties of 3D printed structures, demonstrating a novel route for design of more sophisticated bioinks for four-dimensional bioprinting.
Phase transition in the high-order nonideal mixing model
Authors: Wang Lihua , Dong Yaojun 
Published: May 2020

Abstract
We extend the existing second-order nonideal mixing model, which only formally allows for the second-order phase transition, into the fourth-order. The Landau theory reveals that both first- and second-order phase transitions may exist in this higher-order model. Moreover, we show that a single structural parameter determines whether the phase transition abruptly switches between first- and second- orders. We note, it provides an explanation of either appearance or absence of the liquid-liquid critical point in the liquid-liquid phase transition on debate.
Medical assistance in dying and older persons in Belgium: trends, emerging issues and challenges
Authors: Van Den Noortgate Nele , Van Humbeeck Liesbeth 
Published: May 2020

Abstract
In 2002, the Belgian Act on euthanasia came into effect, regulating the intentional ending of life by a physician at the patient’s explicit request. Subsequently, the number of reported euthanasia deaths increased every year. Specifically, the proportion of euthanasia deaths in older persons has risen significantly in the last few years. Since the conception of the Euthanasia Act, Belgian physicians have been confronted with challenges concerning euthanasia requests in older persons with polypathology, tiredness of life or dementia. By exploring these issues, this commentary highlights the importance of a meticulous and team-based assessment of the (i) seriousness of the underlying condition, (ii) voluntariness of the request and (iii) decisional capacity of the older person requesting euthanasia.
Longitudinal Associations of US Acculturation With Cognitive Performance, Cognitive Impairment, and Dementia
Authors: Martinez-Miller Erline E , Robinson Whitney R , Avery Christy L , Yang Yang C , Haan Mary N , Prather Aric A , Aiello Allison E 
Published: May 2020

Abstract
US Latinos, a growing, aging population, are disproportionately burdened by cognitive decline and dementia. Identification of modifiable risk factors is needed for interventions aimed at reducing risk. Broad sociocultural context may illuminate complex etiology among culturally diverse Latinos. Among 1,418 older (≥60 years), low–socioeconomic position (SEP) Latinos (predominantly of Mexican descent) in Sacramento, California, we examined whether US acculturation was associated with cognitive performance, cognitive decline, and dementia/ cognitive impairment without dementia over a 10-year period and whether education modified the associations (Sacramento Area Latino Study on Aging, 1998–2008). Analyses used linear mixed models, competing-risk regression, and inverse probability of censoring weights for attrition. Participants with high US acculturation had better cognitive performance (0.21 fewer cognitive errors at grand-mean-centered age 70 years) than those with low acculturation after adjustment for sociodemographic factors, practice effects, and survey language. Results may have been driven by cultural language use rather than identity factors (e.g., ethnic identity, interactions). Rate of cognitive decline and risk of dementia/cognitive impairment without dementia did not differ by acculturation, regardless of education (β = 0.00 (standard error, 0.00) and hazard ratio = 0.81 (95% confidence interval: 0.49, 1.35), respectively). High US acculturation was associated with better cognitive performance among these older, low-SEP Latinos. Acculturation may benefit cognition when SEP is low. Future studies should incorporate extended longitudinal assessments among more diverse groups.
Integrating patient-centric indications into the prescribing process: Experience at a tertiary academic medical center
Authors: Ho Jackie , Wrzesniewski Carolyn E , Hasson Noelle K 
Published: May 2020

Abstract

Purpose
To describe the development of and implementation of a patient-centric clinical indications library (CIL) into the prescribing process and determine the operational and humanistic outcomes (from prescriber, pharmacist, and patient perspectives) of including indications on outpatient prescription labels.

Methods
A descriptive retrospective data analysis was conducted. Multiple stakeholder groups were engaged to develop and integrate the CIL into the prescription package. After CIL integration, prescribers, pharmacists, and patients were surveyed. A focus group discussion consisting of Veterans and caregivers was held.

Results
Following implementation of the CIL, the proportion of prescriptions associated with an indication increased from 88% to 96%. Surveyed clinicians responded that indications helped them better understand a patient’s profile (61.1% of prescribers and 100% of pharmacists). Among surveyed pharmacists, 61.5% and 53.8%, respectively, believed that indications helped them catch instances of wrong medications and wrong doses ordered. Veterans surveyed found that indications on their prescription labels helped them know what their medications were for (91.0% of respondents) and why it is important to take their medications (70.7%). In focus group discussions, Veterans and family members and/or caregivers expressed a preference to see indications that describe how a medication works (eg, “to lower blood sugar” vs “for diabetes”) because they felt that type of phrasing is measurable, action oriented (which was appealing due to Veterans’ military background), provides surreptitious education, and tells the users what to expect.

Conclusion
Engaging multidisciplinary stakeholder groups, optimizing the electronic health record system, and authorizing pharmacists to add known indications to prescriptions increased the number of prescriptions with indications, decreased the perceived time spent on order entry and verification, and enabled better understanding of each medication’s purpose by providers and patients.
Impact of order entry alerts and modifications on doses of intravenous opioids dispensed during a national drug shortage
Authors: Bowers Laura A , Raymond Alex P , Guest Caity B , Bennett Mary , Shields Sara , Beardsley James R 
Published: May 2020

Abstract

Purpose
To address the intravenous (i.v.) opioid shortage, computer-based alerts and modifications were implemented over 2 phases beginning in August 2017 and February 2018, respectively. A study was conducted to assess the impact of these interventions on dispenses of intermittent doses of i.v. opioids during a national shortage.

Methods
A retrospective, single-center, pre- and postimplementation study was conducted to compare opioid dispenses from September 2017 through December 2017 (phase 1) and March 2018 through May 2018 (phase 2) with dispenses during the same time periods of the previous year (historical control periods). Dispense data for intermittent doses of i.v. fentanyl, hydromorphone, and morphine and select oral opioids were collected from automated dispensing cabinets (ADCs) located in nonprocedural areas. The primary endpoint was the percentage of total intermittent doses of i.v. and oral opioids that were dispensed for i.v. administration. A subanalysis accounting for unit type was conducted. Key secondary endpoints were the numbers of oral and i.v. opioid dispenses by month.

Results
The final analysis included data from 92 ADCs. The percentage of i.v. opioid dispenses significantly decreased, by 9.8% during phase 1 (P &lt; 0.0001) and by 16.8% during phase 2 (P &lt; 0.0001) compared to dispenses during the historical control periods. These decreases were significant across all unit types except pediatric units during phase 1. Average monthly dispenses of i.v. opioids were 49.9% and 74.2% fewer than dispenses during the historical control periods after the phase 1 and phase 2 implementations, respectively.

Conclusion
Order entry alerts and modifications significantly decreased dispenses of intermittent doses of i.v. opioids during a national shortage, with demonstrated sustainability of decreases over 7 months.
Investigating tree and fruit growth through functional–structural modelling: implications of carbon autonomy at different scales
Authors: Auzmendi Inigo , Hanan Jim S 
Published: May 2020

AbstractBackground and AimsMany experimental studies assume that some topological units are autonomous with regard to carbon because it is convenient. Some plant models simulate carbon allocation, employing complex approaches that require calibration and fitted parameters. For whole-tree canopy simulations, simpler carbon allocation models can provide useful insights.MethodsWe propose a new method for simulating carbon allocation in the whole tree canopy considering various scales of carbon autonomy, i.e. branchlets, branches, limbs, and no autonomy. This method was implemented in a functional–structural plant model of growth of individual organs for studying macadamia tree growth during one growing season.Key ResultsThis model allows the simulation of various scales of carbon autonomy in a simple tree canopy, showing organ within-tree variability according to the scale of autonomy. Using a real tree canopy, we observed differences in growth variability within the tree and in tree growth, with several scales of carbon autonomy. The simulations that assumed autonomy at branch scale, i.e. 2-year-old wood, showed the most realistic results.ConclusionsSimulations using this model were employed to investigate and explain aspects of differences in carbon autonomy between trees, organ growth variability, competition between shoot and fruit growth, and time of autonomy.
If This Isn’t Racism, What Is? The Politics of the Philosophy of Immigration
Authors: Finlayson Lorna 
Published: May 2020

AbstractAlison Jaggar (2020) recommends a radical break with a dominant approach to the philosophy of immigration shared by both liberal cosmopolitans and liberal nationalists. This paper is intended as an exploration of Jaggar’s conclusions and as an attempt to carry them further. Building on her critique, I argue that the characteristic questions asked by both cosmopolitans and nationalists appear inappropriate when seen against the political reality of immigration. In the last part of the paper, I argue that liberal nationalist contributions in particular have problematized immigration and immigrants in ways not fundamentally different from those seen on the racist right.
Structured sparsity regularization for analyzing high-dimensional omics data
Authors: Vinga Susana 
Published: May 2020

AbstractThe development of new molecular and cell technologies is having a significant impact on the quantity of data generated nowadays. The growth of omics databases is creating a considerable potential for knowledge discovery and, concomitantly, is bringing new challenges to statistical learning and computational biology for health applications. Indeed, the high dimensionality of these data may hamper the use of traditional regression methods and parameter estimation algorithms due to the intrinsic non-identifiability of the inherent optimization problem. Regularized optimization has been rising as a promising and useful strategy to solve these ill-posed problems by imposing additional constraints in the solution parameter space. In particular, the field of statistical learning with sparsity has been significantly contributing to building accurate models that also bring interpretability to biological observations and phenomena. Beyond the now-classic elastic net, one of the best-known methods that combine lasso with ridge penalizations, we briefly overview recent literature on structured regularizers and penalty functions that have been applied in biomedical data to build parsimonious models in a variety of underlying contexts, from survival to generalized linear models. These methods include functions of $\ell _k$-norms and network-based penalties that take into account the inherent relationships between the features. The successful application to omics data illustrates the potential of sparse structured regularization for identifying disease’s molecular signatures and for creating high-performance clinical decision support systems towards more personalized healthcare. Supplementary information: Supplementary data are available at Briefings in Bioinformatics online.
rmRNAseq: differential expression analysis for repeated-measures RNA-seq data
Authors: Nguyen Yet , Nettleton Dan 
Published: May 2020

Abstract

Motivation
With the reduction in price of next-generation sequencing technologies, gene expression profiling using RNA-seq has increased the scope of sequencing experiments to include more complex designs, such as designs involving repeated measures. In such designs, RNA samples are extracted from each experimental unit at multiple time points. The read counts that result from RNA sequencing of the samples extracted from the same experimental unit tend to be temporally correlated. Although there are many methods for RNA-seq differential expression analysis, existing methods do not properly account for within-unit correlations that arise in repeated-measures designs.

Results
We address this shortcoming by using normalized log-transformed counts and associated precision weights in a general linear model pipeline with continuous autoregressive structure to account for the correlation among observations within each experimental unit. We then utilize parametric bootstrap to conduct differential expression inference. Simulation studies show the advantages of our method over alternatives that do not account for the correlation among observations within experimental units.

Availability and implementation
We provide an R package rmRNAseq implementing our proposed method (function TC_CAR1) at https://cran.r-project.org/web/packages/rmRNAseq/index.html. Reproducible R codes for data analysis and simulation are available at https://github.com/ntyet/rmRNAseq/tree/master/simulation.