bluuebunny/crossref_metadata_2025_split huggingface dataset:
Recent Advances in Using Natural Language Processing to Address Public Health Research Questions Using Social Media and ConsumerGenerated Data
Authors: Conway Mike , Hu Mengke , Chapman Wendy W. 
Published: August 2019

Objective: We present a narrative review of recent work on the utilisation of Natural Language Processing (NLP) for the analysis of social media (including online health communities) specifically for public health applications.
Methods: We conducted a literature review of NLP research that utilised social media or online consumer-generated text for public health applications, focussing on the years 2016 to 2018. Papers were identified in several ways, including PubMed searches and the inspection of recent conference proceedings from the Association of Computational Linguistics (ACL), the Conference on Human Factors in Computing Systems (CHI), and the International AAAI (Association for the Advancement of Artificial Intelligence) Conference on Web and Social Media (ICWSM). Popular data sources included Twitter, Reddit, various online health communities, and Facebook.
Results: In the recent past, communicable diseases (e.g., influenza, dengue) have been the focus of much social media-based NLP health research. However, mental health and substance use and abuse (including the use of tobacco, alcohol, marijuana, and opioids) have been the subject of an increasing volume of research in the 2016 - 2018 period. Associated with this trend, the use of lexicon-based methods remains popular given the availability of psychologically validated lexical resources suitable for mental health and substance abuse research. Finally, we found that in the period under review “modern" machine learning methods (i.e. deep neural-network-based methods), while increasing in popularity, remain less widely used than “classical" machine learning methods.
Contributions on Clinical Decision Support from the 2018 Literature
Authors: Koutkias Vassilis , Bouaud Jacques ,   Section Editors for the IMIA Yearbook Section on Decision Support
Published: August 2019

Objectives: To summarize recent research and select the best papers published in 2018 in the field of computerized clinical decision support for the Decision Support section of the International Medical Informatics Association (IMIA) yearbook.
Methods: A literature review was performed by searching two bibliographic databases for papers referring to clinical decision support systems (CDSSs). The aim was to identify a list of candidate best papers from the retrieved bibliographic records, which were then peer-reviewed by external reviewers. A consensus meeting of the IMIA editorial team finally selected the best papers on the basis of all reviews and the section editors' evaluation.
Results: Among 1,148 retrieved articles, 15 best paper candidates were selected, the review of which resulted in the selection of four best papers. The first paper introduces a deep learning model for estimating short-term life expectancy (>3 months) of metastatic cancer patients by analyzing free-text clinical notes in electronic medical records, while maintaining the temporal visit sequence. The second paper takes note that CDSSs become routinely integrated in health information systems and compares statistical anomaly detection models to identify CDSS malfunctions which, if remain unnoticed, may have a negative impact on care delivery. The third paper fairly reports on lessons learnt from the development of an oncology CDSS using artificial intelligence techniques and from its assessment in a large US cancer center. The fourth paper implements a preference learning methodology for detecting inconsistencies in clinical practice guidelines and illustrates the applicability of the proposed methodology to antibiotherapy.
Conclusions: Three of the four best papers rely on data-driven methods, and one builds on a knowledge-based approach. While there is currently a trend for data-driven decision support, the promising results of such approaches still need to be confirmed by the adoption of these systems and their routine use.
Cancer Informatics in 2018: The Mysteries of the Cancer Genome Continue to Unravel, Deep Learning Approaches the Clinic, and Passive Data Collection Demonstrates Utility
Authors: Warner Jeremy L. , Patt Debra ,   Section Editors for the IMIA Yearbook Section on Cancer Informatics
Published: August 2019

Objective: To summarize significant research contributions on cancer informatics published in 2018.
Methods: An extensive search using PubMed/Medline, Google Scholar, and manual review was conducted to identify the scientific contributions published in 2018 that address topics in cancer informatics. The selection process comprised three steps: (i) 15 candidate best papers were first selected by the two section editors, (ii) external reviewers from internationally renowned research teams reviewed each candidate best paper, and (iii) the final selection of four best papers was conducted by the editorial board of the International Medical Informatics Association (IMIA) Yearbook.
Results: The four selected best papers present studies addressing many facets of cancer informatics, with immediate applicability in the translational and clinical domains.
Conclusion: Cancer informatics is a broad and vigorous subfield of biomedical informatics. Progress in cancer genomics, artificial intelligence, and passively collected data is especially notable in 2018.
Artificial Intelligence in Health: New Opportunities, Challenges, and Practical Implications
Authors: Lau Annie Y. S. , Staccini Pascal ,   Section Editors for the IMIA Yearbook Section on Education and Consumer Health Informatics
Published: August 2019

Objectives: To summarise the state of the art during the year 2018 in consumer health informatics and education, with a special emphasis on the special topic of the International Medical Informatics Association (IMIA) Yearbook for 2019: “Artificial intelligence in health: new opportunities, challenges, and practical implications”.
Methods: We conducted a systematic search of articles published in PubMed using a predefined set of queries that identified 99 potential articles for review. These articles were screened according to topic relevance and 14 were selected for consideration as best paper candidates. The 14 papers were then presented to a panel of international experts for full paper review and scoring. Three papers that received the highest score were discussed in a consensus meeting and were agreed upon as best papers on artificial intelligence in health for patients and consumers in the year 2018.
Results: Only a small number of 2018 papers reported Artificial Intelligence (AI) research for patients and consumers. No studies were found on AI applications designed specifically for patients or consumers, nor were there studies that elicited patient and consumer input on AI. Currently, the most common use of AI for patients and consumers lies in secondary analysis of social media data (e.g., online discussion forums). In particular, the three best papers shared a common methodology of using data-driven algorithms (such as text mining, topic modelling, Latent Dirichlet allocation modelling), combined with insight-led approaches (e.g., visualisation, qualitative analysis and manual review), to uncover patient and consumer experiences of health and illness in online communities.
Conclusions: While discussion remains active on how AI could 'revolutionise' healthcare delivery, there is a lack of direction and evidence on how AI could actually benefit patients and consumers. Perhaps instead of primarily focusing on data and algorithms, researchers should engage with patients and consumers early in the AI research agenda to ensure we are indeed asking the right questions, and that important use cases and critical contexts are identified together with patients and consumers. Without a clear understanding on why patients and consumers need AI in the first place, or how AI could support individuals with their healthcare needs, it is difficult to imagine the kinds of AI applications that would have meaningful and sustainable impact on individual daily lives.
Systematic Review of Contemporary Evidence for the Management of T1 Renal Cell Carcinoma: What IRs Need to Know for Kidney Cancer Tumor Boards
Authors: Cronan Julie , Dariushnia Sean , Bercu Zachary , Ermentrout Robert Mitchell , Majdalany Bill , Findeiss Laura , Newsome Janice , Kokabi Nima 
Published: August 2019

AbstractRenal cell carcinoma is a relatively common malignancy, with 60 to 70 thousand cases a year in the United States alone. Increased utilization of cross-sectional imaging has led to an increase in the number of early renal cell cancers seen by the medical establishment. In addition, certain patient populations have an increased risk of developing kidney cancers which may mandate aggressive screening protocols. This article discusses the epidemiology of renal cell cancers; discusses the current management guidelines from multiple specialty societies; discusses some of the surgical and interventional techniques used in the treatment of such lesions; and provides a review of the literature regarding treatments of early-stage renal cell cancers.
Infertility and the Military Male
Authors: Reed-Maldonado Amanda B. , Madden Kristin C. 
Published: August 2019

AbstractMale infertility is a condition that affects approximately 50% of infertile couples and about 30% of those couples have only male factor infertility identified. There has been speculation that male military service members may have an even greater lifetime prevalence of infertility as compared to the general population, but very few scientific publications focus on male factor infertility in the military population specifically. This review will discuss many of the unique considerations regarding male infertility in the military and highlight future opportunities for research. The military/federal health system has the potential to serve as a leader in both the delivery of health care for male factor infertility and in the clinical investigation into the etiologies of and treatments for male factor infertility.
Trends in Percutaneous Thermal Ablation Therapies in the Treatment of T1a Renal Cell Carcinomas Rather than Partial Nephrectomy/Radical Nephrectomy
Authors: Shakeri Sepideh , Raman Steven S. 
Published: August 2019

AbstractWith the increased incidence of stage T1a renal cell carcinoma (RCC) has come the recognition that these lesions tend to be low grade and slow growing, with low probability of metastasis not necessarily requiring surgery. As alternatives to surgery, both active surveillance and ablation have been advocated for the management of selected patients with stage T1a renal cancers due to slow rate of tumor growth and low metastatic potential based on recent epidemiological studies. Thermal ablation also has consistently reported favorable complication and renal preservation rates compared with surgical approaches. However, most studies are single-center case series and meta-analysis of these series and comparative prospective series with long-term follow-up are lacking. The purpose of this article is to review the principal thermal ablation modalities and oncological outcomes for the treatment of stage T1 RCCs with long-term follow-up.
Familial Hemophagocytic Lymphohistiocytosis: A Rare Mutation of STXBP2 in Exon 19
Authors: Pournami Femitha , Upadhyay Swati , Nandakumar Anand , Prabhakar Jyothi , Jain Naveen 
Published: August 2019

AbstractFamilial hemophagocytic lymphohistiocytosis (FHLH) is a fulminant rapidly progressive disorder characterized by uncontrolled immune system activation. Over the last decade, STXBP2 mutations have been reported as causative. We report a baby with typical clinical features and supportive laboratory findings, who had a homozygous missense variation in exon 19 of STXBP2 that results in an amino acid substitution of aspartic acid for glycine. Adding to the currently scant literature on this variation may contribute to the database pool and help to confirm assertion of pathogenicity in FHLH.
Formation and transformation of Al–Fe phases after friction stir processing
Authors: Ding Zhimin , Li Zhiwen , Zhao Yadong , Chen Ying 
Published: August 2019

Based on the preparation of magnesium (AZ31B) – aluminium (1060) composite materials by friction stir processing, a study of the formation and transformation of Al–Fe phases in the aluminium solid solution near the Al–Mg interface was performed by transmission electron microscopy. The results show that there are many Al6Fe particles with the size span range of 100–300 nm in the aluminium solid solution, and the morphology of Al6Fe centre phase encapsulated by Al3Fe thin-layer phase was observed. Meanwhile, the interface types of Al–Al3Fe and Al3Fe–Al6Fe are both coherent interfaces, and there are crystallographic orientation relationships between them, namely: [Formula: see text] [Formula: see text] The crystallographic orientation relationships have not been reported yet.
Magnetooptical response of permalloy multilayer structures on different substrate in the IR–VIS–UV spectral range
Authors: Patra Rajkumar , Mattheis Roland , Stöcker Hartmut , Monecke Manuel , Salvan Georgeta , Schäfer Rudolf , Schmidt Oliver G , Schmidt Heidemarie 
Published: August 2019

Abstract
The magnetooptical (MO) response of Ru/Py/Ta thin film stacks with 4, 8, and 17 nm thick Ni81Fe19 permalloy (Py) films on a SiO2/Si and a ZnO substrate was measured by vector magnetooptical generalized ellipsometry. The MO response from VMOGE was modelled using a 4  ×  4 Mueller matrix algorithm. The wavelength-dependent, substrate-independent and thickness-independent complex MO coupling constant (
Q
) of Py in the Ru/Py/Ta thin film stacks was extracted by fitting Mueller matrix difference spectra in the spectral range from 300 nm to 1000 nm. Although the composition-dependent saturation magnetization of Ni
x
Fe1−x
alloys (x  =  0.0…1.0), e.g. of Ni81Fe19, is predictable from the two saturation magnetization end points, the MO coupling constant of Ni
x
Fe1−x
is not predictable from the two
Q
end points. However, in a small alloy range (0.0  <  x  <  0.2 and 0.8  <  x  <  1.0) the composition-dependent
Q
of Ni
x
Fe1−x
can be interpolated from a sufficiently high number of analyzed Ni
x
Fe1−x
alloys. The available complex MO coupling constants of six different Ni
x
Fe1−x
(x  =  1.0 to 0.0) alloys were used to interpolate MO response of binary Ni
x
Fe1−x
alloys in the range from x  =  0.0 to x  =  1.0.
In situ electrochemical oxidation of electrodeposited Ni-based nanostructure promotes alkaline hydrogen production
Authors: Pang Yajun , Yu Yong , Chen Hao , Xu Guangqing , Miao Linqing , Liu Ximeng , Pan Zhenghui , Kou Zongkui , Wu Yucheng , Wang John 
Published: August 2019

Abstract
Highly active and stable electrocatalysts based on non-precious metals for hydrogen evolution reaction (HER) in alkaline solution are urgently required for enabling mass production of clean hydrogen in industry. Herein, core–shell NiOOH/Ni nanoarchitectures supported on the conductive carbon cloth have been successfully prepared by a facile electrodeposition process of Ni, and a subsequent in situ electrochemical oxidation. When explored as an alkaline HER electrocatalyst, the as-synthesized NiOOH/Ni nanoarchitecture requires only a low overpotential of ∼111 mV to attain a current density of −10 mA cm−2, demonstrating its strong catalytic capability of hydrogeneration. The excellent HER activity could well be attributed to the decreasing charge transfer resistance and competitive electrochemical active area of the amorphous NiOOH, compared with inactive Ni substrate. The feasible methodology established in this study can be easily expanded to obtain a series of nano-sized metal oxyhydroxide materials for various energy conversion and storage applications, where Ni-based nanomaterials are among the highly active ones.
Tunable topological valley transport in two-dimensional photonic crystals
Authors: Wang Yujing , Zhang Weixuan , Zhang Xiangdong 
Published: August 2019

Abstract
Recently, exploring the valley degree of freedom in photonic crystals has attracted considerable attentions since it opens up the possibility of extending valleytronics to optics. However, the fixed structural parameters limit the practical applications of valley photonic crystals. How to design steerable valley photonic structures becomes an important research topic. In this work, we design a tunable valley photonic crystal using an array of regular triangular metal rods embedded in liquid crystals. Electrically controlled valley-selective excitation, valley-locked beam splitting behavior and valley-projected edge transportation have been numerically demonstrated. Using these novel effects, a switchable valley filter device has also been designed. Our proposed valley-based photonic devices are beneficial for the development of robust wave manipulation.
Magnetization dynamics and related phenomena in semiconductors with ferromagnetism
Authors: Chen Lin , Zhao Jianhua , Weiss Dieter , Back Christian H. , Matsukura Fumihiro , Ohno Hideo 
Published: August 2019

Abstract
We review ferromagnetic resonance (FMR) and related phenomena in the ferromagnetic semiconductor (Ga,Mn)As and single crystalline Fe/GaAs (001) hybrid structures. In both systems, spin-orbit interaction is the key ingredient for various intriguing phenomena.
High temperature magnetic semiconductors: narrow band gaps and two-dimensional systems
Authors: Gu Bo 
Published: August 2019

Abstract
Magnetic semiconductors have been demonstrated to work at low temperatures, but not yet at room temperature for spin electronic applications. In contrast to the p-type diluted magnetic semiconductors, n-type diluted magnetic semiconductors are few. Using a combined method of the density function theory and quantum Monte Carlo simulation, we briefly discuss the recent progress to obtain diluted magnetic semiconductors with both p- and n-type carriers by choosing host semiconductors with a narrow band gap. In addition, the recent progress on two-dimensional intrinsic magnetic semiconductors with possible room temperature ferromangetism and quantum anomalous Hall effect are also discussed.
Generalised ‘Arcsine’ laws for run-and-tumble particle in one dimension
Authors: Singh Prashant , Kundu Anupam 
Published: August 2019

Abstract
The ‘Arcsine’ laws of Brownian particles in one dimension describe distributions of three quantities: the time t

m
to reach maximum position, the time t

r
spent on the positive side and the time of the last visit to the origin. Interestingly, the cumulative distribution of all three quantities are the same and given by Arcsine function. In this paper, we study distribution of these three times and in the context of single run-and-tumble particle in one dimension, which is a simple non-Markovian process. We compute exact distributions of these three quantities for arbitrary time and find that all three distributions have a delta function part and a non-delta function part. Interestingly, we find that the distributions of t

m
and t

r
are identical (reminiscent of the Brownian particle case) when the initial velocities of the particle are chosen with equal probability. On the other hand, for , only the non-delta function part is the same as the other two. In addition, we find explicit expressions of the joint distributions of the maximum displacement and the time at which this maxima occurs. We verify all our analytical results through numerical simulations.
Adsorption of toluene and xylene from aqueous solution on SBA-15 from rice husk
Authors: Prestianggi Y , Maylisa N , N Subagyono RR D J , Sitorus S , Daniel  
Published: August 2019

Abstract
Synthesis of Santa Barbara Amorphous-15 (SBA-15) from rice husk ash (Oryza Sativa L.) as toluene and xylene adsorbents has been performed. SBA-15 was synthesised by the modified surfactant template method. SBA-15 from rice husk ash has a surface area of 680 m2/g, a pore diameter of 1.49 nm and a pore volume of 12.5 cm3/g. SAXS pattern of the SBA-15 showed the presence of three distinctive peaks of SBA-15 at 0.99°, 1.54° and 1.74° 2 theta with miller indices [100], [110] and [200]. SEM pictures showed that SBA-15 from rice husk ash has an irregular shape and the particles are in aggregate form. The maximum adsorption capacities of SBA-15 from rice husk ash to toluene and xylene based on the Langmuir isotherm were 175.44 mg/g and 142.86 mg/g, respectively with RL (equilibrium parameter) value within the range 0-1.
Antioxidant and anticancer activity of Eleutherine bulbosa (Mill.) Urb on leukemia cells L1210
Authors: Lestari D , Kartika R , Marliana E 
Published: August 2019

Abstract
Antioxidant and anticancer activity test on Leukemia cells L1210 were carried out on four fractions (ethanol extract, n-hexane, chloroform, and water fraction) of Eleutherine bulbosa [Mill.] Urb. The purpose of this research is to obtain IC50 antioxidant and anticancer activity of the active fraction of Eleutherine. bulbosa [Mill.] Urb on Leukemia cells L1210. The research method includes antioxidant activity test with DPPH (2,2-diphenyl-1-picrylhydrazyl) method, anticancer activity test of active fraction on Leukemia cell L1210, and GC-MS analysis to determine the active compound. Chloroform fraction has the best antioxidant activity with IC50 value 19.694 ppm (very strong category). The IC50 value of the chloroform fraction on L1210 Leukemia cells was 9.56 ppm (very strong category). Based on GC-MS analysis of the chloroform fraction, some compounds such as hexadecanoic acid, 9,12-octadecadienoic acid, linolenic acid, octadecanoic acid, androstan-17-one, and 1-(2,3,5,6-tetramethylphenyl)- ethanone were detected.
Carbon monolith from Victorian brown coal for hydrogen storage
Authors: Alfadlil B R , Knowles G P , Parsa M R , N Subagyono RR D J , Daniel  , Chaffee A L 
Published: August 2019

Abstract
The application of carbon monolith from VBC (Victorian Brown Coal) for H2 storage has been studied. The storage capacities of the monolith were measured using an isothermal adsorption process at different temperatures and pressures. In this study the adsorption capacities of monolithic carbon and those of activated carbon from other literature were compared. It was found that temperature and pressure affected the hydrogen adsorption capacity. It was also observed that density of the carbon monoliths can also have a significant effect on hydrogen storage capacity.
Theoretical study of the electron-withdrawing and donating groups effects on luminescent properties of the europium complexes with substituted 1,10 phenanthroline
Authors: Sudarlin  , Abdulkadir Martoprawiro Muhamad 
Published: August 2019

Abstract
Effects of EDG and EWG on the luminescent properties of Eu(III)1,10-phenanthroline complexes have been studied theoretically using DFT/B3LYP and TDDFT method. The 6-31G basis set was used for the ligand atoms and Stuttgart_RSC_1997_ECP for europium. The groups were varied as 2-X-1,10-phenanthroline and 5-X-1,10-phenanthroline where X is CH3; CH=CH2; F; OH as EDG and CN; CF3; NO2; CHO as EWG. The results showed that the energy difference between singlet and triplet excited state of the ligand (ΔEISC) increasing when using EDG and decreasing when using EWG. The different pattern occurs for energy difference between the triplet excited state of the ligand and the 5D0 level of europium (III) (ΔEET), which increasing when using groups without a double bond (CH3; F; OH; CF3) and decreasing when using groups with a double bond (CH=CH2; CN; NO2; CHO). The highest energy transfer rate (WET) was Eu(III)2-NO2-1,10-phenanthroline which was caused by interaction between NO2 with europium.