bluuebunny/crossref_metadata_2025_split huggingface dataset:
The applications of anterior segment optical coherence tomography in glaucoma: a 20-year bibliometric analysis
Authors: Huang Yijia , Gong Di , Dang Kuanrong , Zhu Lei , Guo Junhong , Yang Weihua , Wang Jiantao 
Published: November 2024

Objective
In the past 20 years, the research application of anterior segment optical coherence tomography (AS-OCT) in the field of glaucoma has become a hot topic, but there is still a lack of bibliometric reports on this scientific field. The aim of this study is to explore the research hotspots and trends in the field using bibliometric methods.

Method
Analyzing literature from 2004 to 2023 on AS-OCT in glaucoma within the SCI database, this study utilized Bibliometric, VOS viewer, and Cite Space for a comprehensive bibliometric analysis covering document counts, countries, institutions, journals, authors, references, and keywords.

Results
A total of 931 eligible articles were collected, showing a continuous increase in annual research output over the past 20 years. The United States, China, and Singapore were the top three countries in terms of publication volume, with 288, 231, and 124 articles, respectively, and there was close cooperation among these countries. The NATIONAL UNIVERSITY OF SINGAPORE, SUN YAT SEN UNIVERSITY, and SINGAPORE NATIONAL EYE CENTRE were the most productive institutions with 93, 92, and 87 articles, respectively. JOURNAL OF GLAUCOMA, INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, and OPHTHALMOLOGY were the journals with the highest number of publications, with 86, 69, and 46 articles, respectively. PROGRESS IN RETINAL AND EYE RESEARCH, published in the United States, was the top-cited journal. Researchers Aung Tin, He Mingguang, and David S. Friedman were highlighted for their contributions. The reference clustering was divided into 12 categories, among which “deep learning, anterior segment” were the most cited categories. The keywords of research frontiers include deep learning, classification, progression, and management.

Conclusion
This article analyses the academic publications on AS-OCT in the diagnosis and treatment of glaucoma over the last 20 years. Among them, the United States contributed the largest number of publications in this field, with the highest number of literature citations and mediated centrality. Among the prolific authors, aung, tin topped the list with 77 publications and 3,428 citations. Since the beginning of 2018, advances in artificial intelligence have shifted the focus of research in this field from manual measurements to automated detection and identification of relevant indicators.
Yield and Harvest Index of Grain Sorghum as Influenced by Agronomic Practices under Summer Rice Fallow in Southern Kerala, India
Authors: R Anuranj , Thomas Usha C. , Pillai Shalini , G Rajasree, , M.M. Safeer 
Published: November 2024

A study was undertaken at College of Agriculture, Vellayani, during January 2024 to May 2024 to standardize tillage, plant population and nutrient management practices for grain sorghum under summer rice fallows. The experiment was laid out in RCBD with 2 x 2 x 3 treatments, replicated thrice and the treatments comprised of combinations of two tillage methods (T1-zero tillage, T2-conventional tillage), two levels of spacing (P1 – 45 x 15 cm, P2- 60 x 15 cm) and three NPK levels (N1 – 45:25:25 NPK kg ha-1, N2 – 50:25:75 NPK kg ha-1 and N3 – 50:25:50 NPK kg ha-1). Among yield attributes, sorghum grown under zero tillage with a spacing 45 x 15 cm and a nutrient dose of 50:25:50 NPK kg ha-1 (T1P1N3) resulted in higher panicle length (22.70 cm), number of grains per panicle (1836.67) and grain weight per panicle (35.96 g). Higher grain yield (5.14 t ha-1) was obtained in treatment T1P1N3, which was found on par with T1P1N2 (4.96 t ha-1) and higher stover yield (8.10 t ha-1) was obtained in treatment T1P1N2, which was found on par with T1P1N3 (7.81 tha-1). Harvest index was higher in treatment T2P2N1 (0.43) and remained comparable with T1P1N3 (0.40) and T1P1N2 (0.39).
Polyurethane/poly(vinylidene fluoride)/MWCNT composite foam for broadband airborne sound absorption
Authors: Statharas Eleftherios Christos , Yao Kui , Rahimabady Mojtaba , Mohamed Ayman Mahmoud , Tay Francis Eng Hock 
Published: April 2019

ABSTRACTA polyurethane/poly(vinylidene fluoride)/multi‐walled carbon nanotubes (PU/PVDF/MWCNT) (83/15/2) composite foam was designed and fabricated. The foam exhibited high airborne sound absorption performance in a wide‐frequency range. The sound absorption coefficient reached the value of 0.85 at 1 kHz, which is a significant improvement over PU foam. It was found that PVDF formed a separate immiscible phase and part of it was crystallized in a polar phase in the PU scaffold in the PU/PVDF/MWCNT composite, which could benefit the sound absorption performance by introducing interfacial damping and local piezoelectric damping effects. The introduction of the conductive MWCNT filament in the composite foam further improved sound absorption, possibly by facilitating the dissipation of the electrical charges generated from local piezoelectric effect and enhancing both the interfacial damping effect and local piezoelectric damping effect. With PU as the main ingredient, the fabrication scalability of the foam can be improved with significantly reduced material and production cost in comparison with PVDF foam. © 2019 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2019, 136, 47868.
WS2 Nanosheets with Highly‐Enhanced Electrochemical Activity by Facile Control of Sulfur Vacancies
Authors: Zhu Qing , Chen Wenzhou , Cheng Hua , Lu Zhouguang , Pan Hui 
Published: April 2019

AbstractTungsten disulfide (WS2) is a promising and low‐cost material for electrochemical hydrogen evolution reaction (HER) and has been extensively studied due to its excellent performance. However, the development of a facile and controllable defect‐engineering to activate its basal planes is still crucial to improve its HER activity. Here, we put forward an annealing strategy to create controllable sulfur vacancies (S‐vacancies) in ultrathin WS2 nanosheets, which can result in the increase of active sites and enhanced electrocatalytic activity accordingly. Our density‐functional‐theory (DFT) calculations reveal that the Gibbs free energy of hydrogen adsorption (ΔGH*) can be tuned to near zero by controlling the density of S‐vacancies, leading to thermal‐neutral HER performance. We find that optimal HER performance can be achieved by tuning the density of S‐vacancies in WS2 through annealing in the mixture of Ar and H2 (5 %). The WS2 nanosheets with the optimal density of S‐vacancies show lower overpotential by 116 mV at 10 mA/cm2 and smaller Tafel slope by 37.9 mV/dec than as‐prepared counterpart, and super‐excellent stability in acid. Additionally, the WS2 with optimal S‐vacancies also shows the best HER activity in alkaline solution. Our findings present a facile and general strategy to design electrocatalysts with more active sites, which is applicable to other materials for the improvement of their catalytic activities.
Dataset retrieval system based on automation of data preparation with dataset description model
Authors: Mun Jonghyeok , Lee Sanghwan , Choi Jongsun , Choi Jaeyoung , Bae Kitae 
Published: April 2019

SummaryData preparation is the most effortful task in the process of statistical learning. Many studies related to data mining are performed without data preparation by assuming that qualified datasets are already prepared. It may hide useful patterns of data, which can result in poor performance and incorrect learning. Automation of data preparation can solve these problems. For automation of data preparation, a few issues should be considered, such as flexible expression of requirements according to the purpose of the learning model, accessibility to data sources, and performance degradation due to automation. In this paper, we propose a dataset description model that can express the requirements for data processing and dataset retrieval system based on automated data preparation. The proposed system makes it possible to provide good quality datasets for statistical learning applications using data preparation methods such as data acquisition, refinement, and organization. In the experiment, we demonstrate that the proposed system doesn't have performance loss as compared to the existing manual systems. Moreover, the quality of the datasets are also improved by using the proposed system.
In‐tube solid‐phase microextraction capillary column packed with mesoporous TiO2 nanoparticles for phosphopeptide analysis
Authors: Li Ke , Zhao Shuo , Yan Yong , Zhang Dongtang , Peng Manhua , Wang Yanan , Guo Guangsheng , Wang Xiayan 
Published: April 2019

AbstractIn this study, an in‐tube solid‐phase microextraction column packed with mesoporous TiO2 nanoparticles, coupled with MALDI–TOF–MS, was applied to the selective enrichment and detection of phosphopeptides in complex biological samples. The mesoporous TiO2 nanoparticles with high specific surface areas, prepared by a sol–gel and solvothermal method, were injected into the capillary using a slurry packing method with in situ polymerized monolithic segments as frits. Compared with the traditional solid‐phase extraction method, the TiO2‐packed column with an effective length of 1 cm exhibited excellent selectivity (α‐casein/β‐casein/BSA molar ratio of 1:1:100) and sensitivity (10 fmol of a β‐casein enzymatic hydrolysis sample) for the enrichment of phosphopeptides. These performance characteristics make this system suitable for the detection of phosphorylated peptides in practical biosamples, such as nonfat milk.
Uncovering the biology of myelin with optical imaging of the live brain
Authors: Hill Robert A. , Grutzendler Jaime 
Published: April 2019

AbstractMyelin has traditionally been considered a static structure that is produced and assembled during early developmental stages. While this characterization is accurate in some contexts, recent studies have revealed that oligodendrocyte generation and patterns of myelination are dynamic and potentially modifiable throughout life. Unique structural and biochemical properties of the myelin sheath provide opportunities for the development and implementation of multimodal label‐free and fluorescence optical imaging approaches. When combined with genetically encoded fluorescent tags targeted to distinct cells and subcellular structures, these techniques offer a powerful methodological toolbox for uncovering mechanisms of myelin generation and plasticity in the live brain. Here, we discuss recent advances in these approaches that have allowed the discovery of several forms of myelin plasticity in developing and adult nervous systems. Using these techniques, long‐standing questions related to myelin generation, remodeling, and degeneration can now be addressed.
In vivo resorption of injectable apatitic calcium phosphate cements: Critical role of the intergranular microstructure
Authors: Le Ferrec Myriam , Mellier Charlotte , Lefèvre Francois‐Xavier , Boukhechba Florian , Janvier Pascal , Montavon Gilles , Bouler Jean‐Michel , Gauthier Olivier , Bujoli Bruno 
Published: April 2019

AbstractThe in vivo resorption rate of two injectable apatitic calcium phosphate cements used in clinics (Graftys® HBS and NORIAN®) was compared, using a good laboratory practice (GLP) study based on an animal model of critical‐sized bone defect. To rationalize the markedly different biological properties observed for both cements, key physical features were investigated, including permeability and water‐accessible porosity, total porosity measured by mercury intrusion and gravimetry, and microstructure. Due to a different concept for creating porosity between the two cements investigated in this study, a markedly different microstructural arrangement of apatite crystals was observed in the intergranular space, which was found to significantly influence both the mechanical strength and in vivo degradation of the two calcium phosphate cements.
Deep learning model integrating features and novel classifiers fusion for brain tumor segmentation
Authors: Iqbal Sajid , Ghani Khan Muhammad U. , Saba Tanzila , Mehmood Zahid , Javaid Nadeem , Rehman Amjad , Abbasi Rashid 
Published: April 2019

AbstractAutomatic and precise segmentation and classification of tumor area in medical images is still a challenging task in medical research. Most of the conventional neural network based models usefully connected or convolutional neural networks to perform segmentation and classification. In this research, we present deep learning models using long short term memory (LSTM) and convolutional neural networks (ConvNet) for accurate brain tumor delineation from benchmark medical images. The two different models, that is, ConvNet and LSTM networks are trained using the same data set and combined to form an ensemble to improve the results. We used publicly available MICCAI BRATS 2015 brain cancer data set consisting of MRI images of four modalities T1, T2, T1c, and FLAIR. To enhance the quality of input images, multiple combinations of preprocessing methods such as noise removal, histogram equalization, and edge enhancement are formulated and best performer combination is applied. To cope with the class imbalance problem, class weighting is used in proposed models. The trained models are tested on validation data set taken from the same image set and results obtained from each model are reported. The individual score (accuracy) of ConvNet is found 75% whereas for LSTM based network produced 80% and ensemble fusion produced 82.29% accuracy.
Maternal glutamine supplementation in murine succinic semialdehyde dehydrogenase deficiency, a disorder of γ‐aminobutyric acid metabolism
Authors: Brown Madalyn N. , Walters Dana C. , Schmidt Michelle A. , Hill James , McConnell Alice , Jansen Erwin E. W. , Salomons Gajja S. , Arning Erland , Bottiglieri Teodoro , Gibson K. Michael , Roullet Jean‐Baptiste 
Published: April 2019

AbstractMurine succinic semialdehyde dehydrogenase deficiency (SSADHD) manifests with high concentrations of γ‐aminobutyric acid (GABA) and γ‐hydroxybutyrate (GHB) and low glutamine in the brain. To understand the pathogenic contribution of central glutamine deficiency, we exposed aldh5a1−/− (SSADHD) mice and their genetic controls (aldh5a1+/+) to either a 4% (w/w) glutamine‐containing diet or a glutamine‐free diet from conception until postnatal day 30. Endpoints included brain, liver and blood amino acids, brain GHB, ataxia scores, and open field testing. Glutamine supplementation did not improve aldh5a1−/− brain glutamine deficiency nor brain GABA and GHB. It decreased brain glutamate but did not change the ratio of excitatory (glutamate) to inhibitory (GABA) neurotransmitters. In contrast, glutamine supplementation significantly increased brain arginine (30% for aldh5a1+/+ and 18% for aldh5a1−/− mice), and leucine (12% and 18%). Glutamine deficiency was confirmed in the liver. The test diet increased hepatic glutamate in both genotypes, decreased glutamine in aldh5a1+/+ but not in aldh5a1−/−, but had no effect on GABA. Dried bloodspot analyses showed significantly elevated GABA in mutants (approximately 800% above controls) and decreased glutamate (approximately 25%), but no glutamine difference with controls. Glutamine supplementation did not impact blood GABA but significantly increased glutamine and glutamate in both genotypes indicating systemic exposure to dietary glutamine. Ataxia and pronounced hyperactivity were observed in aldh5a1−/− mice but remained unchanged by the diet intervention. The study suggests that glutamine supplementation improves peripheral but not central glutamine deficiency in experimental SSADHD. Future studies are needed to fully understand the pathogenic role of brain glutamine deficiency in SSADHD.
What Biopsychosocial Factors are Associated With Work Ability in Conservatively Managed Patients with Cervical Radiculopathy? A Cross‐Sectional Analysis
Authors: Abbott Allan , Allard Michael , Kierkegaard Marie , Peolsson Anneli , Dedering Åsa 
Published: April 2019

BackgroundNo previous studies have investigated what biopsychosocial factors are associated with self‐reported work ability in conservatively managed patients with cervical radiculopathy.ObjectiveTo develop a theoretical model of factors and potential processes associated with variation in work ability based on a thorough assessment of biopsychosocial variables in conservatively managed patients with cervical radiculopathy.DesignCross‐sectional observational study.SettingTertiary neurosurgery clinic.PatientsA total of 144 conservatively managed patients with cervical pain and radiculopathy participated in the study.MethodsFrom 64 biopsychosocial candidate variables, significant (P < .05) bivariate correlators with Work Ability Index (WAI) were entered as independent variables in a categorical regression. Elastic net regularization maintained the most parsimonious set of independent variables significantly associated with variation in WAI as the dependent variable. Process analysis of significant independent variable associations with WAI was performed.Main Outcome MeasurementWAI.ResultsFrom 42 bivariate correlates of WAI, multivariate regression displayed a total of seven variables that were significantly (F [25,98] = 5.74, P < .05) associated with 65.8% of the variation in WAI. The Neck Disability Index (NDI) and Fear‐Avoidance Beliefs Questionnaire Work subscale (FABQ‐W) were significant individual factors within the final regression model. Process analysis displayed FABQ‐W having a significant specific indirect association with the direct association between NDI and WAI, with the model associated with 77% of the variability in WAI (F [2,84] = 141.17, P < .001).ConclusionOf 64 candidate biopsychosocial factors, NDI and FABQ‐W were the most significant multivariate correlates with work ability. FABQ‐W has a significant indirect association with baseline NDI scores and perceived work ability. This warrants future research trialing work‐related fear avoidance interventions in conservatively managed patients with cervical radiculopathy.Level of EvidenceIII
AUTOMATIC AND POLYNOMIAL-TIME ALGEBRAIC STRUCTURES
Authors: BAZHENOV NIKOLAY , HARRISON-TRAINOR MATTHEW , KALIMULLIN ISKANDER , MELNIKOV ALEXANDER , NG KENG MENG 
Published: April 2019

AbstractA structure is automatic if its domain, functions, and relations are all regular languages. Using the fact that every automatic structure is decidable, in the literature many decision problems have been solved by giving an automatic presentation of a particular structure. Khoussainov and Nerode asked whether there is some way to tell whether a structure has, or does not have, an automatic presentation. We answer this question by showing that the set of Turing machines that represent automata-presentable structures is ${\rm{\Sigma }}_1^1 $-complete. We also use similar methods to show that there is no reasonable characterisation of the structures with a polynomial-time presentation in the sense of Nerode and Remmel.
COUNTABLE MODELS OF THE THEORIES OF BALDWIN–SHI HYPERGRAPHS AND THEIR REGULAR TYPES
Authors: GUNATILLEKA DANUL K. 
Published: April 2019

AbstractWe continue the study of the theories of Baldwin–Shi hypergraphs from [5]. Restricting our attention to when the rank δ is rational valued, we show that each countable model of the theory of a given Baldwin–Shi hypergraph is isomorphic to a generic structure built from some suitable subclass of the original class used in the construction. We introduce a notion of dimension for a model and show that there is a an elementary chain $\left\{ {\mathfrak{M}_\beta :\beta \leqslant \omega } \right\}$ of countable models of the theory of a fixed Baldwin–Shi hypergraph with $\mathfrak{M}_\beta \preccurlyeq \mathfrak{M}_\gamma $ if and only if the dimension of $\mathfrak{M}_\beta $ is at most the dimension of $\mathfrak{M}_\gamma $ and that each countable model is isomorphic to some $\mathfrak{M}_\beta $. We also study the regular types that appear in these theories and show that the dimension of a model is determined by a particular regular type. Further, drawing on a large body of work, we use these structures to give an example of a pseudofinite, ω-stable theory with a nonlocally modular regular type, answering a question of Pillay in [11].
Corippus’ Triumphal Ethnography: another look atIohannisII.28–161.
Authors: Merrills Andy 
Published: April 2019

AbstractThe so-called ‘catalogue of tribes’ in Corippus,Iohannis,II.28–161 is central to the historical ethnography of Moorish North Africa in Late Antiquity, yet the sources behind this passage and its poetic function have never been directly addressed. The present paper argues that Corippus derived this material from the trophies carried in the triumphal procession that marked the successful conclusion of John Troglita's campaigns in 548. The evocation of this ceremony at the outset of Corippus’ narrative corresponds to the ironic tone which permeates the work, but also explains the eccentric form of the material included within the catalogue. The paper concludes with some observations about the implications of this for modern understanding of Moorish ‘tribal’ society in the later Roman and early Byzantine period.
Lusting, learning and lasting in school: sexual debut, school performance and dropout among adolescents in primary schools in Karonga district, northern Malawi
Authors: Sunny Bindu S. , DeStavola Bianca , Dube Albert , Price Alison , Kaonga Allan M. , Kondowe Scotch , Crampin Amelia C. , Glynn Judith R. 
Published: April 2019

AbstractAge at sexual debut is known to have implications for future sexual behaviours and health outcomes, including HIV infection, early pregnancy and maternal mortality, but may also influence educational outcomes. Longitudinal data on schooling and sexual behaviour from a demographic surveillance site in Karonga district, northern Malawi, were analysed for 3153 respondents between the ages of 12 and 25 years to examine the association between sexual debut and primary school dropout, and the role of prior school performance. Time to dropout was modelled using the Fine and Gray survival model to account for the competing event of primary school completion. To deal with the time-varying nature of age at sexual debut and school performance, models were fitted using landmark analyses. Sexual debut was found to be associated with a five-fold increase in rate of subsequent dropout for girls and a two-fold increase in dropout rate for boys (adjusted hazard ratio [aHR] of 5.27, CI 4.22–6.57, and 2.19, CI 1.77–2.7, respectively). For girls who were sexually active by age 16, only 16% ultimately completed primary schooling, compared with 70% aged 18 or older at sexual debut. Prior to sexual debut, girls had primary completion levels similar to those of boys. The association between sexual debut and school dropout could not be explained by prior poor school performance: the effect of sexual debut on dropout was as strong among those who were not behind in school as among those who were overage for their school grade. Girls who were sexually active were more likely to repeat a grade, with no effect being seen for boys. Pathways to dropout are complex and may differ for boys and girls. Interventions are needed to improve school progression so children complete primary school before sexual debut, and to improve sex education and contraception provision.