bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of Ni doping on the structural and optical properties of TiO2 nanoparticles prepared by co-precipitation method
Authors: Cahyaningsih D , Taufik A , Saleh R 
Published: January 2020

Abstract
In this study, Ni-doped TiO2 nanoparticles with different dopant concentrations were fabricated using coprecipitation. The chemical compositions, and structural and optical properties were characterized using X-ray diffraction (XRD), electron dispersive X-ray spectroscopy (EDS), and UV-VIS diffuse reflectance spectroscopy. Identification of paramagnetic species was conducted using electron spin resonance (ESR). The XRD pattern shows that only a single phase of anatase appeared because Ni2+ has a similar ionic radius to that of Ti4+ and replaced some of the Ti4+ ions in the TiO2 lattice. The crystallite size decreased with increasing Ni content. This phenomenon probably arises from the introduction of Ni2+ ions which decreased crystalline growth. The UV-VIS diffuse reflectance spectra showed that the UV absorption moved to a longer wavelength (red shift) and the band gap energy decreased. This caused the doped Ni atoms to form a localized energy state below the conduction band of the TiO2 lattice. The ESR studies on the Ni-doped TiO2 nanoparticles revealed the presence of Ni2+, Ti3+, and oxygen defects in all samples.
Theoretical study on production of stable and radioactive isotopes from proton irradiated sodium chloride
Authors: Kambali I 
Published: January 2020

Abstract
The search for new radioactive isotopes has been on the rise due to high demands of positron-emitting radionuclides applicable for positron emission tomography (PET) modality in nuclear medicine. In this investigation, proton irradiations of sodium chloride (NaCl) were theoretically highlighted, including discussion on stable and radioactive isotopes produced during proton bombardment of the NaCl target. TALYS 2015-Calculated results indicated that 23Mg, 20Ne, 32S, 35Ar, 37Ar and 34S were expectedly produced following NaCl irradiation with 11 MeV protons. More isotopes such as 22Na, 34mCl, 36Cl and 36Ar were generated when the proton energy was increased to 26.5 MeV. Positron emitting radionuclides were found to dominate.
Biosynthesis of silver nanoparticles using the leaf and stem bark of Diospyros discolor Willd. (Ebenaceae)
Authors: Nurfadilah M , Suffan W , Secario K , Handayani W , Imawan C 
Published: January 2020

Abstract
The synthesis of nanoparticles using parts of plants is extremely attractive because it is environmentally friendly. This study examined the suitability of the leaf and stem bark extracts of the plant Diospyros discolor for the synthesis of silver nanoparticles. The reaction could be monitored by visual examination, because the formation of silver nanoparticles was accompanied by a color change of the solution. The characterization of silver nanoparticles was performed using UV–visible, particle size analyzer, and transmission electron microscopy analyses. We observed that the process of nucleation of the silver nanoparticles required several hours. The biosynthesis of silver nanoparticles using the stem bark extract was faster than that using the leaf extract. In addition, the volume ratio of the extracts and AgNO3 solutions greatly affected the yield of silver nanoparticles. This effect was more significant in the case of the leaf extract. This biosynthesis successfully afforded spherical silver nanoparticles of about 30 nm in diameter, which were relatively stable on the basis of zeta potential measurements.
LaMnO3/ZnO/NGP composite: synthesis, characterization and its application for wastewater treatment
Authors: Susanti Y D , Afifah N , Saleh R 
Published: January 2020

Abstract
A series of LaMnO3/ZnO/NGP samples was successfully synthesized using co-precipitation method in 3 weight percentage of nanographene platelets (NGP) on LaMnO3/ZnO (3, 5, 10 wt.%). The structure of the sample was studied by X-ray diffraction (XRD) and Raman spectroscopy. The morphology and element structure of the sample was studied by Transmission electron microscopy (TEM) and Energy dispersive x-ray (EDX) spectroscopy, respectively. The thermal stability of the sample was characterized by thermogravimetric analysis (TGA). The XRD pattern confirmed the following structures: orthorhombic for LaMnO3 nanoparticles, hexagonal wurtzite for ZnO nanoparticles and graphitic like for NGP. The samples were tested for methylene blue (MB) removal and they show successful results in wastewater treatment through the adsorption test. The removal of MB was investigated by changing experimental variables such as the LaMnO3/ZnO/NGP dosage, the weight percentage of NGP on LaMnO3/ZnO and initial MB concentration. The experimental analysis of adsorption kinetics was best fit using pseudo second-order and Langmuir kinetic model. The increasing weight ratio of NGP shows higher adsorption of MB. Among the three different synthesized weight ratio of NGP in LaMnO3/ZnO (3, 5, 10 wt.%), 10 wt.% of NGP on LaMnO3/ZnO shows the maximum adsorption capacity than others.
Stock portfolio optimization using priority index and genetic algorithm
Authors: Vasiani V D , Handari B D , Hertono G F 
Published: January 2020

Abstract
Stock portfolio is a kind of investment which consists of several stocks. The aim of a stock portfolio is to minimize the risk of an investment and maximize the return on investment. To construct the optimum portfolio of stocks, one needs a strategy of stock selection and must determine the percentage of investment in each stock selected. In this paper, both the priority index method and genetic algorithm are applied to optimize the stock portfolios in terms of the return. Priority index is used in stock selection based on some parameters: price/earnings (P/E), earnings/share (EPS), wealth creation, undervaluation, and price per earnings/growth (PEG). Stock selection in each sector is determined by choosing the stocks which have a priority index score at least equal to the minimum priority index score of the selected stocks. The minimum priority index score of the selected stock is determined by using a certain scale parameter. The percentage of investment in each selected stock is then determined by using a genetic algorithm. The results showed that increasing the value of scale parameters does not always increase the average return. Moreover, the stock selection with a wealth creation parameter has a higher average return than without a wealth creation parameter. Stock selection using daily data has a higher average return than annual data. The results also showed that the method has an optimum period of up to five months to make an investment decision.
Construction of parametric equation for equilateral triangle vertices with integer coordinates
Authors: Yumia M , Tasman H 
Published: January 2020

Abstract
In this paper we explore equilateral triangles with integer coordinates vertices lying on the plane a x + b y + c z = 0 where coefficients a, b, c satisfy the Diophantine equation a2
+ b2 + c2 = 3d2
for some integer!. If the plane is translated with any integer translation vector, we find planes which also containing equilateral triangles with integer coordinates vertices. Based on that knowledge from some previous studies, another parametric equations for integer coordinates vertices of equilateral triangle in ℝ3 are constructed.
Catalytic conversion of citronellal to citronellol over skeletal Ni catalyst
Authors: Sudiyarmanto S , Adilina I B , Aditya R R , Sukandar D , Tursiloadi S 
Published: January 2020

Abstract
Catalytic conversion of citronellal to citronellol was performed via hydrogenation over skeletal Ni catalyst. The reaction parameters applied include variation of reactant-catalyst ratio, reaction temperature, pressure, and time. Citronellal 78 % obtained from the fractionation of citronella oil was used as the reactant. The reaction was carried out using reactant-catalyst ratio of 1:5 % and 1:10 % at temperatures of 100 °C, 150 °C and 200 °C and pressure of 10 bar, 15 bar and 20 bar for 1 and 3 hours. Results show that the optimum reaction condition was at 100 °C with reactant-catalyst ratio of 1:10 % under pressure of 20 bar for 1 hour giving 100 % conversion of citronellal, 51.78 % yield of citronellol and 40.39 % selectivity.
Non-fecal and fecal coliform tests of ready-to-eat food and drinks using fluorogenic and chromogenic media
Authors: Naratama M R , Santoso I 
Published: January 2020

Abstract
The aim of this research was to assess the microbiological quality of ready-to-eat foods and drinks. Fifteen samples were enriched in buffered peptone water (BPW) before tested for the presence of coliforms using two chromogenic media (Chromocult Coliform Agar-Enhanced Selectivity (CCA-ES) and Harlequin E. coli agar (HEC)) and a fluorogenic medium (Readycult Coliform 100 (RC 100)) at 37°C. Results showed that all samples contained non-Escherichia. coli coliforms and 12 of them contained Escherichia coli. Twelve E. coli strains and 15 non-E. coli coliform isolates were isolated. Fecal coliform tests showed that the isolated E. coli from 12 samples were of fecal origin while only 7 out of 15 coliform isolates were fecal non-E. coli coliforms.
A simple, cost-effective and rapid method for simultaneous determination of Strychnos nux-vomica alkaloids in blood and Ayurvedic medicines based on ultrasound-assisted dispersive liquid–liquid microextraction–thin-layer chromatography-image analysis
Authors: Jain Rajeev , Tripathi Rohitashva Mani , Negi Archna , Singh Shishir Pratap 
Published: January 2020

AbstractA simple, rapid, cost-effective and green analytical method is developed based on ultrasound-assisted dispersive liquid–liquid microextraction (US-DLLME) coupled to thin-layer chromatography (TLC)-image analysis for the simultaneous determination of two major alkaloids of Strychnos nux-vomica L i.e., strychnine and brucine. The method is composed of three steps, namely (i) US-DLLME by injecting a mixture of 100-μL chloroform (extraction solvent) and 1-mL methanol (disperser solvent) in 5 mL of aqueous sample, followed by ultrasonication and centrifugation, (ii) TLC of 20 μL of sedimented phase with methanol: ammonia (100:1.5, v/v) as the mobile phase and visualization under ultraviolet radiation (254 nm) and (iii) photography of TLC plate and quantification of spots by image analysis using freely available imageJ software (National Institute of Health, Bethesda, MD, USA). The limit of detection and limit of quantification for both alkaloids were found to be in the range of 0.12–0.15 and 0.36–0.48 μg/spot, respectively. The method was found to be linear in the range of 0.5–5 μg/spot with correlation coefficient (R2) of 0.995 and 0.997 for strychnine and brucine, respectively. The developed method was successfully applied for the determination of strychnine and brucine in Ayurvedic formulations and blood samples. The method does not require any sophisticated instrument and handling skills and can be adopted for rapid analysis of strychnine and brucine in forensic toxicological laboratories.
Orally Administered Human Immunoglobulin Therapy for Norovirus Enteritis in Solid Organ Transplant Recipients: A Case Series at a Single Academic Transplant Center
Authors: Nussbaum Eliezer Z , Azar Marwan M , Cohen Elizabeth , McManus Dayna , Topal Jeffrey E , Malinis Maricar 
Published: January 2020

Abstract
Norovirus enteritis can cause intractable diarrhea in solid organ transplant (SOT) recipients, for which there are no established treatments. We reviewed medical records of 9 SOT recipients at our center who received orally administered human immunoglobulin for norovirus enteritis, and it appeared to be an effective treatment modality.
Proteomic characterization of obesity-related nephropathy
Authors: Wendt Ralph , He Tianlin , Latosinska Agnieszka , Siwy Justyna , Mischak Harald , Beige Joachim 
Published: January 2020

AbstractBackgroundNephropathy related to obesity lacks a pathophysiological understanding and definite diagnostic pathways by biomarkers.MethodsIn this study we investigated the association between urinary peptides and body mass index (BMI) and renal function in proteome data sets from 4015 individuals.ResultsA total of 365 urinary peptides were identified to be significantly associated with BMI. The majority of these peptides were collagen fragments. In addition, most of the peptides also demonstrated a significant concordant association with estimated glomerular filtration rate (eGFR) in the investigated cohort, with the presence of diabetes exhibiting no significant association. A new classifier was developed, based on 150 urinary peptides, that enabled the distinction of non-obese subjects with preserved kidney function from obese, non-diabetic subjects with eGFR &gt;45 mL/min/1.73 m2 in an independent cohort, with an area under the curve of 0.93.ConclusionsOn a molecular level, the data strongly suggest a link between obesity and fibrosis, which may be a major cause of obesity-related nephropathy.
Predicting mortality risk on dialysis and conservative care: development and internal validation of a prediction tool for older patients with advanced chronic kidney disease
Authors: Ramspek Chava L , Verberne Wouter R , van Buren Marjolijn , Dekker Friedo W , Bos Willem Jan W , van Diepen Merel 
Published: January 2020

Abstract

Background
Conservative care (CC) may be a valid alternative to dialysis for certain older patients with advanced chronic kidney disease (CKD). A model that predicts patient prognosis on both treatment pathways could be of value in shared decision-making. Therefore, the aim is to develop a prediction tool that predicts the mortality risk for the same patient for both dialysis and CC from the time of treatment decision.

Methods
CKD Stage 4/5 patients aged ≥70 years, treated at a single centre in the Netherlands, were included between 2004 and 2016. Predictors were collected at treatment decision and selected based on literature and an expert panel. Outcome was 2-year mortality. Basic and extended logistic regression models were developed for both the dialysis and CC groups. These models were internally validated with bootstrapping. Model performance was assessed with discrimination and calibration.

Results
In total, 366 patients were included, of which 126 chose CC. Pre-selected predictors for the basic model were age, estimated glomerular filtration rate, malignancy and cardiovascular disease. Discrimination was moderate, with optimism-corrected C-statistics ranging from 0.675 to 0.750. Calibration plots showed good calibration.

Conclusions
A prediction tool that predicts 2-year mortality was developed to provide older advanced CKD patients with individualized prognosis estimates for both dialysis and CC. Future studies are needed to test whether our findings hold in other CKD populations. Following external validation, this prediction tool could be used to compare a patient’s prognosis on both dialysis and CC, and help to inform treatment decision-making.
Association between perivascular inflammation and downstream myocardial perfusion in patients with suspected coronary artery disease
Authors: Nomura Cesar H , Assuncao-Jr Antonildes N , Guimarães Patricia O , Liberato Gabriela , Morais Thamara C , Fahel Mateus G , Giorgi Maria C P , Meneghetti José C , Parga Jose R , Dantas-Jr Roberto N , Cerri Giovanni G 
Published: January 2020

Abstract

Aims
To investigate the association between pericoronary adipose tissue (PCAT) computed tomography (CT) attenuation derived from coronary computed tomography angiography (CTA) and coronary flow reserve (CFR) by positron emission tomography (PET) in patients with suspected coronary artery disease (CAD).

Methods and results
PCAT CT attenuation was measured in proximal segments of all major epicardial coronary vessels of 105 patients with suspected CAD. We evaluated the relationship between PCAT CT attenuation and other quantitative/qualitative CT-derived anatomic parameters with CFR by PET. Overall, the mean age was 60 ± 12 years and 93% had intermediate pre-test probability of obstructive CAD. Obstructive CAD (≥50% stenosis) was detected in 37 (35.2%) patients and impaired CFR (&lt;2.0) in 32 (30.5%) patients. On a per-vessel analysis (315 vessels), obstructive CAD, non-calcified plaque volume, and PCAT CT attenuation were independently associated with CFR. In patients with coronary calcium score (CCS) &lt;100, those with high-PCAT CT attenuation presented significantly lower CFR values than those with low-PCAT CT attenuation (2.47 ± 0.95 vs. 3.13 ± 0.89, P = 0.003). Among those without obstructive CAD, CFR was significantly lower in patients with high-PCAT CT attenuation (2.51 ± 0.95 vs. 3.02 ± 0.84, P = 0.021).

Conclusion
Coronary perivascular inflammation by CTA was independently associated with downstream myocardial perfusion by PET. In patients with low CCS or without obstructive CAD, CFR was lower in the presence of higher perivascular inflammation. PCAT CT attenuation might help identifying myocardial ischaemia particularly among patients who are traditionally considered non-high risk for future cardiovascular events.
Regional variation in hospital care at the end-of-life of Dutch patients with lung cancer exists and is not correlated with primary and long-term care
Authors: de Man Yvonne , Groenewoud Stef , Oosterveld-Vlug Mariska G , Brom Linda , Onwuteaka-Philipsen Bregje D , Westert Gert P , Atsma Femke 
Published: January 2020

Abstract

Objective
To examine the regional variation in hospital care utilization in the last 6 months of life of Dutch patients with lung cancer and to test whether higher degrees of hospital utilization coincide with less general practitioner (GP) and long-term care use.

Design
Cross-sectional claims data study.

Setting
The Netherlands.

Participants
Patients deceased in 2013–2015 with lung cancer (N = 25 553).

Main Outcome Measures
We calculated regional medical practice variation scores, adjusted for age, gender and socioeconomic status, for radiotherapy, chemotherapy, CT-scans, emergency room contacts and hospital admission days during the last 6 months of life; Spearman Rank correlation coefficients measured the association between the adjusted regional medical practice variation scores for hospital admissions and ER contacts and GP and long-term care utilization.

Results
The utilization of hospital services in high-using regions is 2.3–3.6 times higher than in low-using regions. The variation was highest in 2015 and lowest in 2013. For all 3 years, hospital care was not significantly correlated with out-of-hospital care at a regional level.

Conclusions
Hospital care utilization during the last 6 months of life of patients with lung cancer shows regional medical practice variation over the course of multiple years and seems to increase. Higher healthcare utilization in hospitals does not seem to be associated with less intensive GP and long-term care. In-depth research is needed to explore the causes of the variation and its relation to quality of care provided at the level of daily practice.
Machine learning for predicting long-term deflections in reinforce concrete flexural structures
Authors: Pham Anh-Duc , Ngo Ngoc-Tri , Nguyen Thi-Kha 
Published: January 2020

AbstractPrediction of deflections of reinforced concrete (RC) flexural structures is vital to evaluate the workability and safety of structures during its life cycle. Empirical methods are limited to predict a long-term deflection of RC structures because they are difficult to consider all influencing factors. This study presents data-driven machine learning (ML) models to early predict the long-term deflections in RC structures. An experimental dataset was used to build and evaluate single and ensemble ML models. The models were trained and tested using the stratified 10-fold cross-validation algorithm. Analytical results revealed that the ML model is effective in predicting the deflection of RC structures with good accuracy of 0.972 in correlation coefficient (R), 8.190 mm in root mean square error (RMSE), 4.597 mm in mean absolute error (MAE), and 16.749% in mean absolute percentage error (MAPE). In performance comparison against with empirical methods, the prediction accuracy of the ML model improved significantly up to 66.41% in the RMSE and up to 82.04% in the MAE. As a contribution, this study proposed the effective ML model to facilitate designers in early forecasting long-term deflections in RC structures and evaluating their long-term serviceability and safety.
Exploring the International Criminal Court’s Deterrent Potential
Authors: Hodgson Natalie 
Published: January 2020

Abstract
Despite proclamations that the International Criminal Court (ICC) will deter the commission of international crimes, empirical support for such a proposition is mixed and there is much that is still unknown about the ICC’s deterrent potential. In this article, I add to knowledge on the ICC and deterrence with a case study of the ICC’s impact on government decision-making in Australia. Through a thematic analysis of Australian parliamentary records, I explore four instances where the potential for prosecution at the ICC was raised because of a government decision or policy, with a focus on the possibility of Australian politicians being prosecuted concerning Australia’s refugee policy. The fact that the risk of prosecution at the ICC was raised in parliamentary debates suggests that the ICC is capable of featuring in government decision-making and thus could have a deterrent effect. However, with respect to Australia’s refugee policy, the risk of prosecution at the ICC was outweighed by domestic political considerations, and hence this study found that the ICC had little to no deterrent effect on the government in that case. The perceived uncertainty of ICC prosecution was a key factor hindering the ICC’s potential for deterrence, and I suggest that this could have a flow-on effect, hindering the potential for extralegal sanctions to produce any deterrent effect and additionally undermining attempts at positive complementarity. For the ICC to realize its deterrent potential, the perceived certainty of prosecution must be increased.
Fichte on Summons and Self-Consciousness
Authors: Kosch Michelle 
Published: January 2020

AbstractJ. G. Fichte held that a form of intersubjectivity—what he called a ‘summons’—is a condition of possibility of self-consciousness. This thesis is widely taken to be one of Fichte’s most influential contributions to the European philosophy of the last two centuries. But what the thesis actually states is far from obvious; and existing interpretations either are poorly supported by the texts or else render the thesis trivial or implausible. I propose a new interpretation, on which Fichte’s claim is that reflective self-consciousness arises in the context of ad hoc efforts to coordinate action.
Mass from a third star: transformations of close compact-object binaries within hierarchical triples
Authors: Di Stefano R 
Published: January 2020

ABSTRACT
Close-orbit binaries consisting of two compact objects are a centre of attention because of the detection of gravitational-radiation-induced mergers. The creation of close, compact-object binaries involves physical processes that are not yet well understood; there are open questions about the manner in which two compact objects come to be close enough to merge within a Hubble time. Here, we explore an important, and likely common physical process: mass transfer from a third star in a wider, hierarchical orbit. Mass added to the close binary’s components can reduce the time to merger and can even change the nature of an accretor, transforming a white dwarf to a neutron star and/or a neutron star to a black hole. Some accreting WDs in close binaries may even explode as Type Ia supernovae. Given the ubiquity of higher order multiples, the evolutionary channels we lay out may be important pathways to gravitational mergers, including Type Ia supernovae. Fortunately, these pathways also lead to testable predictions.