bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pilot study: use of contrast-enhanced ultrasonography in feline renal transplant recipients
Authors: Greenbarg Esther H , Jiménez David A , Nell Lucas A , Schmiedt Chad W 
Published: June 2017

Objectives The study aims were to evaluate the feasibility of contrast-enhanced ultrasonography in feline renal transplant recipients in the post-transplantation period and to report findings in a case with presumptive delayed allograft ischemia. Methods Cats were imaged postoperatively using contrast harmonic ultrasonography after a bolus injection of a microbubble contrast medium. Time/mean pixel intensity curves were generated for cortical and medullary regions of interest in the renal allograft in each cat. Arrival time, time to peak, wash-in slope, wash-out slope, mean transit time and renal blood flow were calculated for each area. Results Within the renal cortices of cats without ureteral obstruction 1 day post-transplantation, arrival time was 2.0–6.3 s, time to peak was 3.6–30.1 s, wash-in rate was 2.45–41.14 mean pixel intensity (MPI)/s, wash-out rate was −2.01 to −0.47 MPI/s and blood flow was 6.1–106.5 MPI/s. Ratio mean transit time was 0.29–1.29. Typical cortical and medullary perfusion patterns were observed in these cats. In one cat with delayed graft ischemia followed by presumptive acute transplant rejection, dynamic and heterogeneous cortical and medullary perfusion was demonstrated. Decreases in cortical blood flow were paralleled by elevated serum creatinine. Conclusions and relevance Contrast-enhanced ultrasonography can be used in feline renal transplant recipients and provides both qualitative and quantitative data regarding renal allograft perfusion.
Physical Function Assessment of a Mayan Population Living With Osteoarthritis: The Importance of Considering Different Aspects of Functioning
Authors: Loyola-Sanchez Adalberto , Richardson Julie , Pelaez-Ballestas Ingris , Alvarez-Nemegyei Jose , Lavis John N , Wilson Michael G , Wilkins Seanne 
Published: June 2017

Objectives: To assess the physical function of people living with osteoarthritis in a Maya-Yucateco rural community from 3 perspectives and explore factors associated with the presence of disability. Design: Physical function and social, physical, psychological, and behavioral factors were evaluated in all adults detected with hand, hip, and/or knee osteoarthritis (n = 144) through a Community-Oriented Program for the Control of Rheumatic Diseases–based census in the Mayan community of Chankom, Yucatán. All cases fulfilled the American College of Rheumatology criteria. Physical function was assessed from 3 perspectives: hypothetical or “what people think they can do” (Health Assessment Questionnaire-Disability Index [HAQ-DI]), experimental or “what people could do in standardized conditions” (6-minute walk test [6MWT] + the Functional Dexterity Test) and enacted or “what people actually do” (personal care, work, and leisure activities’ self-report). Results: About 80% of participants reported “mild” disability (HAQ-DI ≤ 1) in the hypothetical function perspective, whereas average experimental function scores were low (6MWT: 206 m, Functional Dexterity Test: 64 seconds), and 78% of participants reported problems with enacted function (ie, work). Pain was significantly associated with disability in the hypothetical perspective (odds ratio [OR] = 3 [95% confidence interval [CI]: 1-4]); levels of wealth (β = 5 [95% CI: 1-9]) and muscle strength (β = 54 [95% CI: 20-87]) were significantly associated with functioning in the experimental perspective; and lower levels of self-efficacy (OR = 12 [95% CI: 6-27]) and physical activity (OR = 12 [95% CI: 6-27]) were significantly associated with work disability in the enacted function perspective. Conclusions: People living with osteoarthritis in Chankom show important issues when assessing physical function at the experimental and enacted perspectives, which could have been overlooked if only the hypothetical perspective was considered. Different factors were associated with different physical function perspectives and all should be addressed to decrease disability in this community.
Optimal Timing of Surgery for Intramedullary Cavernous Hemangioma of the Spinal Cord in Relation to Preoperative Motor Paresis, Disease Duration, and Tumor Volume and Location
Authors: Imagama Shiro , Ito Zenya , Ando Kei , Kobayashi Kazuyoshi , Hida Tetsuro , Ito Kenyu , Tsushima Mikito , Ishikawa Yoshimoto , Matsumoto Akiyuki , Morozumi Masayoshi , Tanaka Satoshi , Machino Masaaki , Ota Kyotaro , Nakashima Hiroaki , Wakao Norimitsu , Sakai Yoshihito , Matsuyama Yukihiro , Ishiguro Naoki 
Published: June 2017

Study Design: Prospective study. Objective: Investigate factors associated with preoperative motor paresis, recovery, ambulatory status, and intraoperative neurophysiological monitoring (IONM) among patients with no preoperative paresis (N group), complete preoperative motor recovery (CR group), and no complete recovery (NCR group) in patients with intramedullary spinal cavernous hemangioma to determine the optimal timing of surgery. Methods: The study evaluated 41 surgical cases in our institute. Disease duration, tumor lesion, manual muscle testing (MMT), and gait at onset, just before surgery, and final follow-up (FU), tumor and lesion volume, IONM, extent of tumor resection, and tumor recurrence were evaluated among N, CR, and NCR groups. Results: Motor paresis at onset was found in 26 patients (63%), with 42% of those in CR group. Disease duration from onset negatively affected stable gait just before surgery and FU as well as lower preoperative MMT ( P < .05). Thoracic tumors were associated with patients with unstable gait before surgery ( P < .05). Tumor volume was larger in NCR group ( P < .05). IONM significantly decreased in NCR and CR groups than in N group ( P < .05). The NCR group had residual mild motor paresis at FU ( P < .05). Stable gait at FU was similar in N group and CR group, though lower in NCR group ( P < .05). Conclusions: Early surgery is generally recommended for thoracic tumors and large tumors during stable gait without motor paresis before long disease duration. Surgery may be postponed until patients recover from preoperative motor paresis to allow optimal surgical outcome. IONM should be carefully monitored in patients with a history of preoperative paresis even with preoperative complete motor recovery.
The emerging trend of non-operative treatment in paediatric type I open forearm fractures
Authors: Zhang H. , Fanelli M. , Adams C. , Graham J. , Seeley M. 
Published: June 2017

Purpose Open fractures are considered an orthopaedic emergency and are generally an indication for operative debridement. Recent studies have questioned this approach for the management of Gustilo-Anderson Type I open fractures in the paediatric population. This meta-analysis studies the non-operative management of Type I open paediatric forearm fractures. Methods An Ovid MEDLINE and PubMed database literature search was performed for studies that involved a quantified number of Gustilo-Anderson Type I open forearm fractures in the paediatric population, which were treated without operative intervention. A fixed-effect meta-analysis, weighting each study based on the number of patients, and a pooled estimate of infection risk (with 95% confidence interval (CI)) was performed. Results The search results yielded five studies that were eligible for inclusion. No included patients had operative debridement and all were treated with antibiotics. The number of patients in each study ranged from 3 to 45, with a total of 127 paediatric patients in the meta-analysis. The infection rate was 0% for all patients included. The meta-analysis estimated a pooled infection risk of 0% (95% CI 0 to 2.9). Conclusions The five included studies had a total of 127 patients with no cases of infection after non-operative management of Type I open paediatric forearm fractures. The infection rate of Type I fractures among operatively managed patients is 1.9%. The trend in literature towards non-operative treatment of paediatric Type I open fractures holds true in this meta-analysis.
Analysis of relations among scientific process skills, academic success and multiple intelligence levels of grade 7-8 students<p>7 ve 8 sınıf öğrencilerinin bilimsel süreç becerileri, akademik başarı ve çoklu zekâ düzeyleri arasındaki ilişkilerin analizi
Authors: Şahin İsmet , Yılmaz Gökçe 
Published: June 2017

Learning skills of individuals may be related to their types of intelligence, scientific process skills and other affective skills and capacities. Relations among these may be used to predict academic success. For this reason, the aim of this study is to analyze the relations among multiple intelligence, scientific process skills and academic success. A multiple intelligence inventory, scientific process skills test eas administered to a total of 98 students attending a state and a private secondary school, 47 of whom are female and 51 of which are male. Their grade point average were collected from e-school database.Academic success is not correlated with general intelligence that is assumed to be the sum of all types of multiple intelligences but is positively correlated with all basic, high level and general scientific process skills. There is no correlation with academic success and any type of multiple intelligences. Musical intelligence is positively correlated with space and time relational skills and logical intelligence is positively correlated with prediction skills of basic scientific process skills. Extended English abstract is in the end of PDF (TURKISH) file. ÖzetBireylerin öğrenme becerileri, bilimsel süreç becerilerindeki yeterlikleri, diğer duyuşsal kapasite ve özelikleri ve farklı zekâ alanlarına yatkınlıklarıyla ilgili olabilir. Bunlar arasındaki ilişkiler akademik başarıyı yordamada da kullanılabilir. Bu nedenle bu çalışmayla ortaokul öğrencilerinin bilimsel süreç becerileri, akademik başarıları ve çoklu zekâ türleri ve değerleri arasındaki ilişkilerin çalışılması amaçlanmıştır. Bu doğrultuda İzmit ilinde biri özel biri kamu iki okulda 7 ve 8 sınıf larda 47 kadın 51 erkek olmak üzere toplam 98 öğrenciye bilimsel süreç becerileri testi, çoklu zekâ envanteri uygulanmış ve e-okul sisteminden öğrencilerin akademik ortalamaları alınmıştır.Akademik Başarı çoklu zekâ türleri toplamı olarak varsayılan genel zekâyla anlamlı bir ilişki içinde görülmemektedir ancak tüm temel, üst ve genel bilimsel süreç becerileriyle yüksek anlamlı ilişkiler sergilemektedir. Akademik başarı ile çoklu zekâ türleri ve dereceleri arasında bir ilişki gözlenmemiştir. Çoklu zekâ alanlarından ritmik zekâ temel bilimsel süreç becerilerinden uzay zaman ilişkisi kurma ile ve sayısal zekâ da tahmin yapma becerisiyle anlamlı ilişkiler göstermiştir. Diğerleri arasındaki ilişkiler anlamsızdır.
Das Exlibrisportal der Stadtbibliothek Mönchengladbach und die Sammlung Dr. Gernot Blum
Authors: Theveßen Daniel 
Published: June 2017

Zusammenfassung
Nach der Schenkung einer der größten Exlibris-Sammlungen Deutschlands an die Stadtbibliothek Mönchengladbach wurde diese über drei Jahre hinweg mit Hilfe einer Datenbanksoftware digitalisiert. Seit Juli 2016 steht mit dem „Exlibrisportal Mönchengladbach“ die erste deutsche Kleingrafik-Datenbank mit mehr als 55.000 Datensätzen und knapp 17.000 Abbildungen im Internet zur Verfügung. Damit bietet sich eine Chance der Verortung und Aufarbeitung zahlloser Exlibrisbestände in öffentlicher und privater Hand.
Analysis of structural brain MRI and multi-parameter classification for Alzheimer’s disease
Authors: Zhang Yingteng , Liu Shenquan 
Published: June 2017

Abstract
Incorporating with machine learning technology, neuroimaging markers which extracted from structural Magnetic Resonance Images (sMRI), can help distinguish Alzheimer’s Disease (AD) patients from Healthy Controls (HC). In the present study, we aim to investigate differences in atrophic regions between HC and AD and apply machine learning methods to classify these two groups. T1-weighted sMRI scans of 158 patients with AD and 145 age-matched HC were acquired from the ADNI database. Five kinds of parameters (i.e. cortical thickness, surface area, gray matter volume, curvature and sulcal depth) were obtained through the preprocessing steps. The recursive feature elimination (RFE) method for support vector machine (SVM) and leave-one-out cross validation (LOOCV) were applied to determine the optimal feature dimensions. Each kind of parameter was trained by SVM algorithm to acquire a classifier, which was used to classify HC and AD ultimately. Moreover, the ROC curves were depicted for testing the classifiers’ performance and the SVM classifiers of two-dimensional spaces took the top two important features as classification features for separating HC and AD to the maximum extent. The results showed that the decreased cortical thickness and gray matter volume dramatically exhibited the trend of atrophy. The key differences between AD and HC existed in the cortical thickness and gray matter volume of the entorhinal cortex and medial orbitofrontal cortex. In terms of classification results, an optimal accuracy of 90.76% was obtained via multi-parameter combination (i.e. cortical thickness, gray matter volume and surface area). Meanwhile, the receiver operating characteristic (ROC) curves and area under the curve (AUC) were also verified multi-parameter combination could reach a better classification performance (AUC=0.94) after the SVM-RFE method. The results could be well prove that multi-parameter combination could provide more useful classified features from multivariate anatomical structure than single parameter. In addition, as cortical thickness and multi-parameter combination contained more important classified information with fewer feature dimensions after feature selection, it could be optimum to separate HC from AD to take the top two important features of them to construct SVM classifiers in two-dimensional space. The proposed work is a promising approach suggesting an important role for machine-learning based diagnostic image analysis for clinical practice.
The Rise of Primary Research Data
Authors: McEwen Leah , Martinsen David 
Published: June 2017

Abstract
As the scale of global commerce and opportunities for multidisciplinary collaboration increase, there is greater pressure on basic research to supply a quick return on investment (ROI). The emergence and development of digital information technologies in the new millennium have inspired a new look at how research outputs are managed and disseminated. The driving question in the minds of many research funders is this—will lowering the barriers for access increase the value of research for the greater society? This is a particularly interesting question to consider for measurement data, the greater amount of which are scattered across millions of separate, fixed publications (not to mention those never published and lingering in file drawers and on hard drives). Can the advent of cloud technologies, exchange standards, and provenance tracking facilitate improved access, evaluation, and use of data for both research and commerce? Can new value and discovery be realized through the greater aggregation of measured scientific data as “Big Data”?
The Future of Chemical Information Is Now
Authors: Williams Antony J. , Pence Harry E. 
Published: June 2017

Abstract
Search and retrieval of chemical information has been dramatically changed by the application of “Big Data” techniques. This development continues to be driven by the massive growth of chemical scientific literature and of online data and databases. Not only is there an expansion of the traditional avenues of publication, but many new contributing resources, such as open access journals, MOOCs (Massive Open Online Courses), Wikis, and blogs have arisen. Powerful tools, like APIs (application programming interfaces) and Big Data interrogation are providing innovative ways to retrieve and analyze data and connect different databases. Materials, pharmaceutical, and environmental research, to name just a few, are especially challenged by the need to organize and access vast amounts of data. What skill-sets will need to be developed in order to get the greatest value out of the available data? Will it be coding and information technology skills, or awareness and better delivery of the data by the available systems? We believe that, in the short term, efforts are needed to expand awareness and training.
Managing Standards and Critical Evaluation in a World of Big Data
Authors: Hibbert D. Brynn , Shaw David , Magalhães M. Clara F. 
Published: June 2017

Abstract
IUPAC is very interested in data, big or small. Its web site opens with the statement, “The International Union of Pure and Applied Chemistry (IUPAC) is the world authority on … many other critically-evaluated data.” While the ‘…’ covers compelling and widely popular topics, such as naming new elements, the mission of IUPAC to give its imprimatur for chemical data is of great importance to health, security, and trade in the world. In this article, after a review of present activities, we will contemplate how a comprehensive approach might be structured under IUPAC project rules and then look to the future in a world of ‘big data’ and ‘smart instruments’.
Primary Research Data and Scholarly Communication
Authors: Martinsen David 
Published: June 2017

Abstract
One of the questions that scholarly publishers have faced as a result of the increasing interest in research data is the relationship of journal articles to the research data behind those articles. From the 1970s forward, journals in the physical sciences published research data in the form of supplemental materials. Due to economic considerations and the sheer volume of data, this supplemental material was generally distributed in microform. In the late 1990s, some publishers began experimenting with digital distribution of research data. By the early 2000s, the volume of research data being submitted was causing problems for editors and reviewers. This tension was captured well in an editorial by Emilie Marcus in Cell in 2009. [1]
From Experiments to Knowledge
Authors: Bruno Ian 
Published: June 2017

AbstractThe Cambridge Structural Database (CSD) provides a platform for sharing data generated from X-ray and neutron diffraction experiments. [1] It contains experimental determinations of the 3D structures of over 850 000 small organic and metal-organic compounds. In recent years, the rate of growth of the CSD has shown an upward trend, with over 80 000 datasets deposited in 2016. Collectively, these datasets constitute a rich resource of information about 3D molecular structure. Knowledge derived from the CSD is used by academic and industrial scientists worldwide to help address scientific challenges across a range of domains.
Supporting Information Review and Data Analysis at Organic Letters
Authors: Hunter Angela M. 
Published: June 2017

Abstract
In an era where research data is readily accessible during the peer review process, several obstacles persist in verifying the data required for publication. While Supporting Information (SI) for all American Chemical Society (ACS) journals is freely available, there is no standardized review process, and errors frequently linger, despite peer review. The SI for submitted manuscripts routinely contains missing or incorrect data, as well as inconsistencies between the submitted manuscript and the SI. While rare, issues of data manipulation, including digitally altered spectra, and plagiarism have been identified. [1] For the past five years at the ACS journal Organic Letters, the SI for all manuscripts has been reviewed by a data analyst to ensure compliance with author guidelines and to allow authors to address missing data and/or data inconsistencies prior to publication.
Some relations between Hodge numbers and invariant complex structures on compact nilmanifolds
Authors: Yamada Takumi 
Published: June 2017

Abstract
Let N be a simply connected real nilpotent Lie group, n its Lie algebra, and € a lattice in N. If a left-invariant complex structure on N is Γ-rational, then HƏ̄
s,t(Γ/N) ≃ HƏ̄
s,t(nC) for each s; t. We can construct different left-invariant complex structures on one nilpotent Lie group by using the complexification and the scalar restriction. We investigate relationships to Hodge numbers of associated compact complex nilmanifolds.
Cellular and plasma nitrite levels in myeloid leukemia: a pathogenetic decrease
Authors: Jain Mili , Kumar Ashutosh , Singh Uma Shankar , Kushwaha Rashmi , Singh Abhishek Kumar , Dikshit Madhu , Tripathi Anil Kumar 
Published: June 2017

AbstractNitric oxide (NO) has a contributory role in hemopoietic cell growth and differentiation. The effects of NO on leukemic cell growth have been predominantly studied inin vitrosettings. This study was done to assess the alterations in nitrite level in myeloid leukemias. Thirty-six newly diagnosed cases of myeloid leukemia (16 AML and 20 CML) were enrolled in the study. Neutrophil precursors from the marrow aspirate and peripheral blood were separated into cell bands using the Percoll density gradient method of Borregard and Cowland. The blood plasma and marrow fluid was also collected. Nitrite (stable non-volatile end product of NO) was estimated in the cell bands, blood plasma and marrow fluid using Griess reagent. The mean nitrite level in all cell bands from peripheral blood, bone marrow, blood plasma, and marrow fluid of cases was significantly lower as compared to corresponding value in the controls. No significant difference between AML and CML was seen. On follow-up, analysis of 13 CML patients higher nitrite levels were seen (p>0.05). The significant decrease in nitrite levels in myeloid leukemia suggests a decrease in nitric oxide synthase (NOS) activity. Further work may unfold molecular targets for therapeutic role of NO modulators.
Reactive nitrogen species (RNS)-resistant microbes: adaptation and medical implications
Authors: Tharmalingam Sujeenthar , Alhasawi Azhar , Appanna Varun P. , Lemire Joe , Appanna Vasu D. 
Published: June 2017

AbstractNitrosative stress results from an increase in reactive nitrogen species (RNS) within the cell. Though the RNS – nitric oxide (·NO) and peroxynitrite (ONOO−) – play pivotal physiological roles, at elevated concentrations, these moieties can be poisonous to both prokaryotic and eukaryotic cells alike due to their capacity to disrupt a variety of essential biological processes. Numerous microbes are known to adapt to nitrosative stress by elaborating intricate strategies aimed at neutralizing RNS. In this review, we will discuss both the enzymatic systems dedicated to the elimination of RNS as well as the metabolic networks that are tailored to generate RNS-detoxifying metabolites – α-keto-acids. The latter has been demonstrated to nullify RNS via non-enzymatic decarboxylation resulting in the production of a carboxylic acid, many of which are potent signaling molecules. Furthermore, as aerobic energy production is severely impeded during nitrosative stress, alternative ATP-generating modules will be explored. To that end, a holistic understanding of the molecular adaptation to nitrosative stress, reinforces the notion that neutralization of toxicants necessitates significant metabolic reconfiguration to facilitate cell survival. As the alarming rise in antimicrobial resistant pathogens continues unabated, this review will also discuss the potential for developing therapies that target the alternative ATP-generating machinery of bacteria.