bluuebunny/crossref_metadata_2025_split huggingface dataset:
Altered Brain Regional Homogeneity in First-Degree Relatives of Type
2 Diabetics: A functional MRI Study
Authors: Liu Yiyong , Shi Lin , Song Xiubao , Shi Changzheng , Lou Wutao , Zhang Dong , Wang Alan D. , Luo Liangping 
Published: May 2019

Abstract
Objective This study aimed to investigate regional homogeneity in the
first-degree relatives of type 2 diabetes patients.
Methods Seventy-eight subjects, including 26 type 2 diabetes patients, 26
first-degree relatives, and 26 healthy controls, were assessed. All
participants underwent resting-state functional magnetic resonance imaging
scanning. The estimated regional homogeneity value was used to evaluate
differences in brain activities.
Results In first-degree relatives, we observed significantly
decreased regional homogeneity in the left anterior cingulate cortex, left
insula, and bilateral temporal lobes, and increased regional homogeneity in the
left superior frontal gyrus, right anterior cingulate cortex, and bilateral
posterior cingulate cortex compared to healthy controls. In type 2 diabetes
patients, we detected altered regional homogeneity in the left anterior
cingulate cortex, left insula, bilateral posterior cingulate cortex, and several
other brain regions compared to healthy controls. Both first-degree
relatives and type 2 diabetes patients showed decreased regional homogeneity in
the left superior temporal gyrus, right middle temporal gyrus, left anterior
cingulate cortex, left insula, and increased regional homogeneity in the left
superior frontal gyrus and bilateral posterior cingulate cortex.
Conclusion These findings suggest that altered regional homogeneity in
the left anterior cingulate cortex, left insula, left superior frontal gyrus,
bilateral posterior cingulate cortex, and bilateral temporal lobes might be a
neuroimaging biomarker of type 2 diabetes -related brain dysfunction.
Konversion eines postoperativen Hypoparathyreoidismus in
einen Hyperparathyreoidismus bei ektopem Nebenschilddrüsenadenom
Authors: Davis K. H. , Happel C. , du Mesnil de Rochemont R. , Vogl T. J. , Grünwald F. 
Published: May 2019

AbstractWe present a patient with a history of thyroid cancer, presumably following
radiochemotherapy of a childhood medulloblastoma, who developed a primary
hyperparathyroidism 10 years after long-term postsurgical hypoparathyroidism.
All established imaging modalities failed to detect the origin and only
selective neck sampling could identify the suspected parathyroid adenoma causing
hyperparathyroidism. This encourages the use of selective neck vein
catheterization, particularly in patients with only slightly elevated
parathyroid hormone-levels or suspected small ectopic adenoma.
Intra-Aneurysmal Rupture of an Atheroma during the Clipping of Large Atherosclerotic Aneurysm of the Middle Cerebral Artery: A Case Report with Video Demonstration
Authors: Chung Yeongu , Park Wonhyoung , Park Jung Cheol , Chung Jaewoo , Ahn Jae Sung 
Published: May 2019

AbstractIschemic complications including silent or symptomatic events are known to occur during the clipping of intracranial aneurysms, although at a relatively lower rate than during endovascular treatment. An atherosclerotic or calcified neck is one of the major contributors to postoperative ischemic sequelae from a surgically treated aneurysm. Atherosclerotic changes in intracranial vessels or within an aneurysm wall or neck area are often seen during surgery. However, we were not previously able to detect any showering of atheromatous emboli during temporary or permanent clipping procedures. We describe a case of an intra-aneurysmal rupture of a squeezed atheroma observed after permanent clipping of an atherosclerotic large middle cerebral artery aneurysm. After tentative clipping to treat the severe atherosclerotic aneurysm in this patient, we applied supplementary clipping to the atherosclerotic area of the aneurysmal sac. The resulting squeezing of the intra-aneurysmal atheroma caused a leakage into the subadventitial layer of the aneurysmal sac. We also discuss the potential ischemic complications of aneurysmal clipping surgery. We conclude that the surgical techniques used to treat these specific aneurysms require circumspect planning through a review of preoperative images.
Sellar Diaphragm Reconstruction with Tachosil During Endoscopic Endonasal Surgery: Technical Note
Authors: Jiménez Zapata Herbert Daniel , Rodríguez Berrocal Víctor , Vior Fernández Carlos , Sánchez Franklin Mariño , García Fernández Alfredo 
Published: May 2019

AbstractThis report introduces a new closure technique for the management of intraoperative cerebrospinal fluid (CSF) leakage during endoscopic endonasal surgery. The procedure is based on the combination of a traditional autologous tissue flap with a heterologous fibrin graft (TachoSil). We performed a retrospective analysis on 121 patients with pituitary adenomas treated in our center by the senior neurosurgeon (author V.R.B) in the previous 4 years. Only one patient (0.8%) developed a CSF leakage and no adverse events were found related to the use of TachoSil. Compared with other techniques used previously, sellar diaphragm reconstruction with TachoSil seems to be an effective and inexpensive alternative.
Improving Oral–Systemic Healthcare through the Interoperability of Electronic Medical and Dental Records: An Exploratory Study
Authors: Simon Lisa , Obadan-Udoh Enihomo , Yansane Alfa-Ibrahim , Gharpure Arti , Licht Steven , Calvo Jean , Deschner James , Damanaki Anna , Hackenberg Berit , Walji Muhammad , Spallek Heiko , Kalenderian Elsbeth 
Published: May 2019

Objectives Electronic health records (EHRs) are rarely shared among medical and dental providers. The purpose of this study was to assess current information sharing and the value of improved electronic information sharing among physicians and dentists in Germany and the United States.
Materials and Methods A survey was validated and distributed electronically to physicians and dentists at four academic medical centers. Respondents were asked anonymously about EHR use and the medical and dental information most valuable to their practice.
Results There were 118 responses, a response rate of 23.2%. The majority (63.9%) of respondents were dentists and the remainder were physicians. Most respondents (66.3%) rated the importance of sharing information an 8 or above on a 1-to-10 Likert scale. Dentists rated the importance of sharing clinical information significantly higher than physicians (p = 0.0033). Most (68.5%) providers could recall an instance when access to medical or dental information would have improved patient care. Dentists were significantly more likely to report this than physicians (p = 0.008).
Conclusion Physicians would value a standardized measure of “oral health” in their EHR. Dentists were less likely to find specific medical diagnostic test results of value. Both dentists and physicians agreed that oral–systemic health was important; interoperable EHRs could facilitate information transfer between providers and enhance research on oral–systemic health connections. Both dentists and physicians believed that an interoperable EHR would be useful to practice, but desired information was different between these groups. Refinement of the information needed for shared practice is required.
Treatment of Advanced Kienbock's Disease (Lichtman Stage IIIB with Carpal Collapse) by a Shortening Osteotomy of the Radius: 21 Cases
Authors: Botelheiro J. C. , Silverio Silvia , Neto Ana Luísa 
Published: May 2019

Purpose To review the results of shortening osteotomies of the radius in our stage IIIB Kienbock's disease patients.
Materials and Methods In the past 30 years, we treated 52 cases of Kienbock's disease by a shortening osteotomy of the radius, of which 21 already had carpal collapse. All patient charts and X-rays were reviewed, but only the cases already with carpal collapse (stage IIIB) are presented here.
Results All patients improved after surgery. Pain, on a scale of 0 to 3, generally 2 or 3 before surgery (median: 2.3), was normally 1 or 0 afterward (median: 0.9); median flexion–extension of the wrist improved from 77 to 99 degrees; and grip strength of the other hand improved from 26 to 76%. The last clinical and radiological review was performed 1 to 23 years after surgery (median: 8 years).
Conclusion Advanced Kienbock’s disease with carpal collapse is not a contraindication for carpal-sparing surgery radial shortening osteotomy.
Young Adult Motor, Sensory, and Cognitive Outcomes and Longitudinal Development after Very and Extremely Preterm Birth
Authors: Vollmer Brigitte , Stålnacke Johanna 
Published: May 2019

AbstractIn this narrative review, we report on adult outcomes after very (before 32 weeks of gestation [wGA]) and extremely (before 28 wGA) preterm birth, with a focus on neuromotor function, neurosensory impairment, general cognitive abilities, executive function, and attentional abilities, all of which are important for academic progress, peer relationships, and participation. Longitudinal development from childhood to adulthood is described. Preterm born individuals have a higher risk for impairment of general cognitive abilities, executive function, attention, and neuromotor abilities well into adulthood, with, however, considerable variability in outcomes. Differences between individuals born preterm and their term born peers persist. Long-term outcomes of general cognitive ability can be predicted with some degree of certainty from childhood assessments: those who perform poor on early childhood age assessments very likely will not catch up, whereas those who perform within the normal range on early assessments sometimes accelerate their development relative to term born peers. This appears similar for executive function and attention, although data on trajectories for these functions are somewhat inconsistent. In adulthood, some studies describe poorer educational outcomes, employment, independent living, and/or economic situation compared with term born individuals; however, large proportion of those born preterm report similar self-perceived quality of life.
Dengue Infection: Not Just Fever—A Rare Presentation with Literature Review
Authors: Gilvaz Percival , Santhakumar Rati , Kuriakose Aneesh Mangalasseril , Baby Neena 
Published: May 2019

AbstractDengue fever is a common viral infection in the tropical areas, especially in India. However, dengue infection presenting as hemorrhagic encephalitis is rare. A 10-year-old girl presented with fever, headache, vomiting, and seizures followed by altered sensorium. Her blood serum was positive for antidengue immunoglobulin M enzyme-linked immunosorbent assay (ELISA) and NS1Ag, and cerebrospinal fluid study showed lymphocytic pleocytosis. Magnetic resonance imaging T2-weighted and fluid-attenuated inversion recovery (FLAIR) images showed hyperintensities involving the bilateral thalami, pons, and midbrain with patchy hemorrhage. Despite all supportive measures, she expired 3 days after admission. Our case highlights that dengue encephalitis may present even in the absence of other classical signs.
Longitudinal Microsurgery Laboratory Training during Hand Surgery Fellowship
Authors: Amador Ricardo O. , Sood Ravi F. , Wilkens Suzanne , Gottlieb Rachel , Chen Neal C. , Eberlin Kyle R. 
Published: May 2019

Background–Laboratory training courses have traditionally offered an attractive method to learn microsurgery in a low-risk environment. However, courses are often limited by cost, accessibility, and their one-time, nonlongitudinal nature. Our aims were to (1) describe our institution's microsurgical training course for hand surgery fellows, which is longitudinal and integrated within our fellowship curriculum and (2) investigate how this course affects the microsurgical confidence and competence of trainees throughout their fellowship year.
Methods–All hand fellows who trained in our 1-year combined hand surgery fellowship from 2016 through 2018 participated in this study. Baseline data on the type and duration of residency training, previous microsurgery experience and self-reported confidence, knowledge, and interest in microsurgery were recorded. Self-reported scores were documented using a continuous scale ranging from 0 to 10. An initial 3-day laboratory course combining the use of didactic teaching, a nonliving synthetic model, and a live rat model was conducted. Repeat laboratory training occurred thereafter at 6 and 12 months. At the end of each session, fellows repeated the baseline questionnaire and faculty assessed their microsurgical competence using a standardized global rating scale (GRS).
Results–A total of six fellows (2 years) were enrolled. At the end of the initial course, there was a statistically significant increase in mean self-reported confidence in microsurgery from 4.3 to 6.2 and knowledge from 4.7 to 6.5. Mean scores in interest were unchanged, from 9.2 to 9.3. There was also an increase in mean GRS score from day 3 to months 6 and 12.
Conclusion–A longitudinal microsurgical training course integrated within a hand surgery fellowship is associated with increased confidence and microsurgical skill. This study describes our approach and its feasibility.
Respiratory Support during Bronchiolitis Due to One Virus versus More Than One Virus: An Observational Study
Authors: Coleman Thomas , Taylor Alison , Crothall Helen , Martinez F. Eduardo 
Published: May 2019

AbstractBronchiolitis is common during infancy and frequently leads to pediatric intensive care unit (PICU) admission. This study aimed to determine if there is a difference in the duration of respiratory support when bronchiolitis is due to one virus or more than one virus. This is a retrospective, observational study of cases admitted to PICU with confirmed bronchiolitis. There were 306 cases analyzed, 70% (215/306) were infected by a single virus and 30% (91/306) were infected with more than one virus. Both groups had similar duration of respiratory support and PICU length of stay (LOS). Hospital LOS was longer for the group with more than one virus.
Music video as party political communication
Authors: Way Lyndon C. S. 
Published: May 2019

Abstract
Relations between political parties and music are fraught with issues over effectiveness,
limitations and opportunities. On the one hand, political parties and movements use the appeal of popular
music to attract audiences who otherwise may not be attentive to their views. On the other hand, mixing the
two has seen music and politics “reduced to their lowest common denominator” (Street 1988, 50). Here, I examine how political parties employ popular music to
articulate party specific discourses. Leaning on Multimodal Critical Discourse Studies and musicology, I
analyse the lyrics, visuals and musical sounds of musical advertisements prepared for two Turkish political
events: A parliamentary election campaign and a presidential referendum campaign. Through a detailed analysis
I reveal the discourses articulated, how these are articulated and the strengths and shortcomings of musical
advertisements as a means of communicating party political discourses.
Discourse, music and political communication
Authors: Way Lyndon C. S. 
Published: May 2019

AbstractPolitical communication is expressed in politicians’ speeches, campaign advertisements and government statements. Politics are also articulated in music, in both traditional political contexts such as anthems and party political broadcasts as well as less traditional contexts including songs, promotional videos and live performances. There is a wide spectrum of opinions as to exactly what are relations between music and politics, though most scholars acknowledge it can communicate meanings, though again, what these are remains contentious. One way to better understand relations between music and politics and meanings expressed in music is to closely examine these issues through the prism of discourses analysis. Through such an examination, not only what is being communicated becomes clear, but also how this is done, contributing to the fields of political communication, musicology and discourse studies.
Photon momentum induced precision small forces: a static and dynamic check
Authors: Manske Eberhard , Fröhlich Thomas , Vasilyan Suren 
Published: May 2019

Abstract
Practical means of generation and calibration of the small precision forces in static and dynamic regimes around 1 Hz by the usage of radiation pressure effect from 1 W continuous wave visible (diode) laser light is presented. The additive effect of the transfer of photon momentum, caused by non-overlapping multiply reflecting laser beam locked within a quasi-passive and/or active macroscopic cavity system, is employed. The effective laser power (partially trapped experimentally) is amplified, such that the optically generated forces are increased from hundreds of pN to sub-

N level. The results presented in this paper should be seen as a means for extending the edge of practically verifiable lower limits of SI-traceable force metrology.
A New Ranking based Semantic Hashing Method for Deep Image Retrieval
Authors: Gong Haihua , Xing Kai , Li Zitian , Zhang Menghan , Zhong Chunlin , Du Wenwen 
Published: May 2019

Abstract
Visual search in millions of samples in high-dimensional feature space is computationally expensive and challenging. A natural solution is to reduce the dimension of image representation by mapping each sample into compact binary code. In this paper, we propose a Ranking Based Semantic Hashing (RBSH) method to tackle with this problem. Observing that semantic structures carry complementary information, this paper takes advantage of semantic supervision for training high quality hashing, the semantic mapping between the high-dimensional feature space of samples and the reduced representation space of binary code, with the help of pre-trained word2vec. Specifically, the proposed method learns the mapping based on two criteria: the contrastive ranking loss and the orthogonality constraint. The former preserves the ordering of relative similarity in image pairs, while the latter makes different bit in the hash stream as orthogonal as possible. Extensive experimental study has been conducted on VOC2012 and ILSVRC2014 image sets, demonstrating that the proposed approach generally outperforms the state-of-the-art hashing techniques based methods in image search.
Adaptive Sampling for Image Compressed Sensing Based on Deep Learning
Authors: Zhong Liqun , Wan Shuai , Xie Leyi 
Published: May 2019

Abstract
The compressed sensing (CS) theory has been applied to image compression successfully as most image signals are sparse in a certain domain. In this paper, we focus on how to improve the sampling efficiency for network-based image compressed sensing by using our proposed adaptive sampling algorithm. We conduct content adaptive sampling to achieve a significant improvement. Experiments results indicate that our proposed framework outperforms the state-of-the-arts both in subjective and objective quality. An average of 1-6 dB improvement in peak signal to noise ratio (PSNR) is observed. Moreover, the proposed work reconstructs images with more details and less image blocking effects, leading to apparent visual improvement.
Super-resolution Geometry Processing Technology for Ill-sampled Astronomical Images
Authors: Zhang Shixue , Ling Jianyong , Huang Chunyu 
Published: May 2019

Abstract
In order to improve the cell sensitivity or to satisfy the needs of a large field of view, a large size CCD pixel is usually chosen as detection unit in optical imaging systems. However, this methodology cannot meet the Nyquist sampling theorem, and thus generate ill-sampling images. In other words, the geometric resolution of images in optical diffraction limited systems is directly restricted by the size of CCD pixel. In this paper, a carefully designed optical mask is implemented to ensure loseless images before CCD sampling. By applying spatial spectral filtering technology, we can acquire images with appropriate resolution. The method presented in this paper significantly abates the resolution decline due to ill-sampling. By mathematical deduction and simulation, the geometric super resolution images can be achieved.
Chinese Movie Comment Sentiment Analysis Based on HowNet and User Likes
Authors: Liu Yanqiu , Duan Zekun 
Published: May 2019

Abstract
Emotional information in movie comments is critical to sentiment analysis, Sentiment analysis, which focuses on classify the comments into positive class and negative class according to sentiment lexicon, is one of the studies. Most of the existing researches are centered on sentiment words and user rating, while the user’s attitude towards comments are ignored. And, considering that Chinese is the second largest language in the world. In this paper, in order to get this point to be considered, we propose a method for Chinese movie comments sentiment analysis based on HowNet and user likes which we called HAL. Our research consists of four parts. First, we use HowNet sentiment lexicon to get a new lexicon in the field of movies. Second, we use the new lexicon and word segmentation tool named Jieba to segment the movie comments. Third, we use the user likes and sentiment words to get the positive feature and negative feature. Finally, we train the movie comment data using three models (SVC, LinearSVC, LogisticRegression). The experimental results show that our method performs better than HowNet-based method in Chinese movie comment sentiment analysis.
Segmentation of MR Breast Cancer Images based on DWT and K-means algorithm
Authors: Yuan Gaoteng , Liu Yihui , Huang Wei 
Published: May 2019

Abstract
Breast-conserving surgery followed by radiotherapy to the whole breast and boost irradiation to the lumpectomy cavity (LC) is the standard strategy for the early stage breast cancer patients. Accurate segmentation of the target volume is a prerequisite for accurate radiotherapy, which directly affects the success or failure of tumor treatment. The current delineation of target is mainly done by manual drawing, which is time-consuming, laborious and easy to be affected by subjective factors. To solve this problem, we enhance the MR breast images using DWT (discrete wavelet transform) to get more detail of MR image feature firstly. Secondly, we use K-means algorithm to classify the feature vectors and establish the image segmentation model. Finally, compared with the traditional threshold segmentation method, the model is most suitable for automatic delineation of radiotherapy target area and the setting of optimal parameters are obtained. This method can realize the accurate automatic delineation of target area basically, and solve the problem of lack of accuracy and standardization in current tumor bed delineation.