bluuebunny/crossref_metadata_2025_split huggingface dataset:
IGF2BP3 (IMP3) expression in angiosarcoma, epithelioid hemangioendothelioma, and benign vascular lesions
Authors: Okabayshi Misuzu , Kataoka Tatsuki R. , Oji Marina , Mibayashi Satoko , Odani Kentaro , Otsuka Atsushi , Haga Hironori 
Published: March 2020

Abstract
Background
Insulin-like growth factor-2 messenger RNA-binding protein 3 (IGF2BP3 or IMP3) is an oncofetal protein that is expressed in various cancer types, and its expression is often associated with poor prognosis. IGF2BP3 expression has not been fully settled in vascular lesions.

Methods
We evaluated the expression of IGF2BP3 in malignant (angiosarcoma and epithelioid hemangioendothelioma [EHE]) and benign (hemangioma, granulation tissue cappilaries, and pyogenic granuloma) vascular lesions using immunohistochemistry. IGF2BP3 expression was scored as negative (0% of endothelial/neoplastic cells), equivocal (1–25%), or positive (> 26%).

Results
Eight of 30 (26.7%) cases of angiosarcoma and two of five (40%) cases of epithelioid hemangioendothelioma were positive for IGF2BP3. In contrast, hemangiomas (10 cases) and granulation tissue capillaries (12 cases) were all negative for IGF2BP3, and some cases of pyogenic granuloma (six of 14 cases) was scored as equivocal. In angiosarcoma, IGF2BP3 expression was independent of age, gender, location, morphological pattern, prognosis, presence of metastatic foci, and PD-L1 expression.

Conclusions
IGF2BP3 is a useful marker to distinguish between malignant and benign vascular lesions.
1.5 T MR-guided and daily adapted SBRT for prostate cancer: feasibility, preliminary clinical tolerability, quality of life and patient-reported outcomes during treatment
Authors: Alongi Filippo , Rigo Michele , Figlia Vanessa , Cuccia Francesco , Giaj-Levra Niccolò , Nicosia Luca , Ricchetti Francesco , Sicignano Gianluisa , De Simone Antonio , Naccarato Stefania , Ruggieri Ruggero , Mazzola Rosario 
Published: March 2020

Abstract

Background

Unity Elekta is a unique magnetic resonance (MR)-linac that conjugates a 1.5 Tesla MR unit with a 7 MV flattening filter free accelerator.A prospective observational study for the clinical use of Elekta Unity is currently ongoing in our department. Herein, we present our preliminary report on the feasibility, quality of life, and patient-reported outcomes measures (PROMs) for localized prostate cancer (PC) treated with stereotactic body radiotherapy (SBRT).

Methods

The SBRT protocol consisted of a 35 Gy schedule delivered in 5 fractions within 2 weeks. Toxicity and quality of life (QoL) were assessed at baseline and after treatment using the Common Terminology Criteria for Adverse Events v5.0, International Prostatic Symptoms Score (IPSS), ICIQ-SF, IIEF-5, and EORTC-QLQ-C30 and PR-25 questionnaires.

Results

Between October 2019 and January 2020, 25 patients with localized PC were recruited. The median age was 68 years (range, 54–82); 4 were low risk, 11 favorable intermediate risk (IR) and 10 unfavorable IR. Median iPSA was 6.8 ng/ml (range, 1–19), and 9 of these patients (36%) received concurrent androgen deprivation therapy. Median prostate volume was 36 cc (range, 20–61); median baseline IPSS was 5 (range, 0–10). Median time for fraction was 53 min (range, 34–86); adaptive strategy with daily critical structure and target re-contouring and daily replanning (adapt to shape) was performed in all cases. No grade ≥ 3 adverse event was observed, three patients (12%) reported grade 2 acute genitourinary toxicity (urinary frequency, urinary tract pain and urinary retention), while only one patient reported mild rectal pain. No relevant deteriorations were reported in PROMs.

Conclusion

To the best of our knowledge, this is the first experience reporting feasibility, clinician-reported outcome measurements, and PROMs for 1.5 T MR-guided adaptive SBRT for localized prostate cancer. The preliminary data collected here report optimal safety and excellent tolerability, as also confirmed by PROMs questionnaires. Moreover, the data on technical feasibility and timing of online daily adapted planning and delivery are promising. More mature data are warranted.

Trial registration
Date of approval April 2019 and numbered MRI/LINAC n°23,748.
Postoperative complications and mobilisation following major abdominal surgery with vs. without fitness tracker-based feedback (EXPELLIARMUS): study protocol for a student-led multicentre randomised controlled trial (CHIR-Net SIGMA study group)
Authors: Schwab Marius , Brindl Niall , Studier-Fischer Alexander , Tu Thomas , Gsenger Julia , Pilgrim Max , Friedrich Mirco , Frey Pia-Elena , Achilles Christina , Leuck Alexander , Bürgel Thore , Feisst Manuel , Klose Christina , Tenckhoff Solveig , Dörr-Harim Colette , Mihaljevic André L. 
Published: March 2020

Abstract
Background
Postoperative complications following major abdominal surgery are frequent despite progress in surgical technique and perioperative care. Early and enhanced postoperative mobilisation has been advocated to reduce postoperative complications, but it is still unknown whether it can independently improve outcomes after major surgery. Fitness trackers (FTs) are a promising tool to improve postoperative mobilisation, but their effect on postoperative complications and recovery has not been investigated in clinical trials.

Methods
This is a multicentre randomised controlled trial with two parallel study groups evaluating the efficacy of an enhanced and early mobilisation protocol in combination with FT-based feedback in patients undergoing elective major abdominal surgery. Participants are randomly assigned (1:1) to either the experimental group, which receives daily step goals and a FT giving feedback about daily steps, or the control group, which is mobilised according to hospital standards. The control group also receives a FT, however with a blackened screen; thus no FT-based feedback is possible. Randomisation will be stratified by type of surgery (laparoscopic vs. open). The primary endpoint of the study is postoperative morbidity within 30 days measured via the Comprehensive Complication Index. Secondary endpoints include number of steps as well as a set of functional, morbidity and safety parameters. A total of 348 patients will be recruited in 15 German centres. The study will be conducted and organised by the student-led German Clinical Trial Network SIGMA.

Discussion
Our study aims at investigating whether the implementation of a simple mobilisation protocol in combination with FT-based feedback can reduce postoperative morbidity in patients undergoing major abdominal surgery. If so, FTs would offer a cost-effective intervention to enhance postoperative mobilisation and improve patient outcomes.

Trial registration
Deutsches Register Klinischer Studien (DRKS, German Clinical Trials Register): DRKS00016755, UTN U1111-1228-3320. Registered on 06.03.2019.
Associations between sport participation and knee symptoms: a cross-sectional study involving 3053 undergraduate students
Authors: Chan Lloyd L. Y. , Wong Arnold Y. L. , Wang Maggie H. 
Published: March 2020

Abstract
Background
While a number of studies have investigated knee symptoms among elite athletes, few have directly compared the association between engagement in different sports and knee symptoms among young adults in the general population. The current study aimed to investigate the relation between sports participation hours, type/ number of sports engaged, self-rated competitiveness and knee symptoms among undergraduates.

Methods
Undergraduates were invited to participate in a self-administered online survey through invitation emails. Respondents were instructed to provide demographic information (e.g., age, gender, sports participation hours, types of engaged sports, self-rated competitiveness in sports and anxiety level etc.) and to report knee symptoms (current, the last 7 days, the last 12 months, and lifetime). Multiple logistic regressions were conducted to investigate the association between sports participation and current knee symptoms.

Results
Of 17,552 invitees, 3744 responded to the survey. Valid data from 3053 respondents was used for analysis. Forty-four percent of the respondents engaged in sports regularly (≥once per week). Running, cross-training and swimming were the most frequently participated sports among the respondents. The current prevalence rate of knee symptoms was 6.4%. Hours spent participating in combat sports, soccer, yoga, and basketball participation hours were significantly associated with current knee symptoms. Respondents who rated themselves as “competitive” demonstrated a higher risk of having current knee symptoms than “recreational” players. Number of engaged sports was not associated with current knee symptoms among undergraduates.

Conclusions
Certain sports types were associated with current knee symptoms. Compared to self-rated “recreational” players, self-rated “competitive” players were more likely to have current knee symptoms. Students should take preventive measures to minimize their risk of developing knee symptoms, especially when participating in combat sports, soccer, yoga, and basketball, or engaging in sports at a highly competitive level.
Development of microsatellite markers for three at risk tiger beetles Cicindela dorsalis dorsalis, C. d. media, and C. puritana
Authors: Aunins Aaron W. , Eackles Michael S. , Kazyak David C. , Drummond Michael R. , King Timothy L. 
Published: March 2020

Abstract
Objective
Tiger beetles inhabiting sandy beaches and cliffs along the east coast of the United States are facing increasing habitat loss due to erosion, urbanization, and sea level rise. The northeastern beach tiger beetle Cicindela dorsalis dorsalis and Puritan tiger beetle Cicindela puritana are both listed as threatened under the Endangered Species Act of 1973, while the white beach tiger beetle Cicindela dorsalis media is not listed but has been declining. Extirpation of these beetles, in some cases from entire states, has isolated many populations reducing gene flow and elevating the risk for the loss of genetic variation. To facilitate investigations of population genetic structure, we developed suites of microsatellite loci for conservation genetic studies.

Results
Shotgun genomic sequencing of all species identified thousands of candidate microsatellite loci, among which 17 loci were optimized and verified to cross-amplify within C. d. media and C. d. dorsalis, and eight separate loci were optimized for C. puritana. Most loci conformed to Hardy–Weinberg equilibrium, showed no evidence of linkage disequilibrium or null alleles, and revealed population genetic characteristics informative for natural resource managers among the populations tested.
High-throughput proteomics fiber typing (ProFiT) for comprehensive characterization of single skeletal muscle fibers
Authors: Kallabis Sebastian , Abraham Lena , Müller Stefan , Dzialas Verena , Türk Clara , Wiederstein Janica Lea , Bock Theresa , Nolte Hendrik , Nogara Leonardo , Blaauw Bert , Braun Thomas , Krüger Marcus 
Published: March 2020

Abstract
Background
Skeletal muscles are composed of a heterogeneous collection of fiber types with different physiological adaption in response to a stimulus and disease-related conditions. Each fiber has a specific molecular expression of myosin heavy chain molecules (MyHC). So far, MyHCs are currently the best marker proteins for characterization of individual fiber types, and several proteome profiling studies have helped to dissect the molecular signature of whole muscles and individual fibers.

Methods
Herein, we describe a mass spectrometric workflow to measure skeletal muscle fiber type-specific proteomes. To bypass the limited quantities of protein in single fibers, we developed a Proteomics high-throughput fiber typing (ProFiT) approach enabling profiling of MyHC in single fibers. Aliquots of protein extracts from separated muscle fibers were subjected to capillary LC-MS gradients to profile MyHC isoforms in a 96-well format. Muscle fibers with the same MyHC protein expression were pooled and subjected to proteomic, pulsed-SILAC, and phosphoproteomic analysis.

Results
Our fiber type-specific quantitative proteome analysis confirmed the distribution of fiber types in the soleus muscle, substantiates metabolic adaptions in oxidative and glycolytic fibers, and highlighted significant differences between the proteomes of type IIb fibers from different muscle groups, including a differential expression of desmin and actinin-3. A detailed map of the Lys-6 incorporation rates in muscle fibers showed an increased turnover of slow fibers compared to fast fibers. In addition, labeling of mitochondrial respiratory chain complexes revealed a broad range of Lys-6 incorporation rates, depending on the localization of the subunits within distinct complexes.

Conclusion
Overall, the ProFiT approach provides a versatile tool to rapidly characterize muscle fibers and obtain fiber-specific proteomes for different muscle groups.
Botulinum toxin type A promotes microglial M2 polarization and suppresses chronic constriction injury-induced neuropathic pain through the P2X7 receptor
Authors: Gui Xianwei , Wang Hansen , Wu Lanxiang , Tian Sheng , Wang Xuan , Zheng Heqing , Wu Wei 
Published: March 2020

Abstract
Background
Switching microglial polarization from the pro-inflammatory M1 phenotype to the anti-inflammatory M2 phenotype represents a novel therapeutic strategy for neuropathic pain (NP). This study aims to investigate whether botulinum toxin type A (BTX-A) regulates microglial M1/M2 polarization by inhibiting P2X7 expression in a rat model of NP.

Results
The BTX-A administration elevated pain threshold, induced microglial polarization toward the M2 phenotype, and decreased P2X7 protein level in a rat model of NP induced by chronic compression injury (CCI). Lipopolysaccharide (LPS) was used to activate HAPI rat microglial cells as an in vitro inflammatory model and we demonstrated that BTX-A promoted microglial M2 polarization in LPS-stimulated HAPI microglial cells through suppressing P2X7.

Conclusions
Our results indicate that BTX-A promotes microglial M2 polarization and suppresses CCI-induced NP through inhibiting P2X7 receptor. These findings provide new insights into the mechanism of BTX-A in relieving NP.
Robust head pose estimation based on key frames for human-machine interaction
Authors: Madrigal Francisco , Lerasle Frederic 
Published: March 2020

AbstractHumans can interact with several kinds of machine (motor vehicle, robots, among others) in different ways. One way is through his/her head pose. In this work, we propose a head pose estimation framework that combines 2D and 3D cues using the concept of key frames (KFs). KFs are a set of frames learned automatically offline that consist the following: 2D features, encoded through Speeded Up Robust Feature (SURF) descriptors; 3D information, captured by Fast Point Feature Histogram (FPFH) descriptors; and target’s head orientation (pose) in real-world coordinates, which is represented through a 3D facial model. Then, the KF information is re-enforced through a global optimization process that minimizes error in a way similar to bundle adjustment. The KF allows to formulate, in an online process, a hypothesis of the head pose in new images that is then refined through an optimization process, performed by the iterative closest point (ICP) algorithm. This KF-based framework can handle partial occlusions and extreme rotations even with noisy depth data, improving the accuracy of pose estimation and detection rate. We evaluate the proposal using two public benchmarks in the state of the art: (1) BIWI Kinect Head Pose Database and (2) ICT 3D HeadPose Database. In addition, we evaluate this framework with a small but challenging dataset of our own authorship where the targets perform more complex behaviors than those in the aforementioned public datasets. We show how our approach outperforms relevant state-of-the-art proposals on all these datasets.
Temporal trend of research related to gun violence from 1981 to 2018 in the United States: a bibliometric analysis
Authors: Chien Lung-Chang , Gakh Maxim , Coughenour Courtney , Lin Ro-Ting 
Published: March 2020

Abstract
Background
We aimed to evaluate the variation in gun violence-related research in the US over time to determine if there are meaningful changes in frequency of research at certain time points. Related publications were searched from the Web of Science.

Methods
We searched articles from Web of Science to collect publication data of gun violence research in three disciplines (clinical sciences, life sciences, and social behavior sciences) from 1981 to 2018. The joinpoint regression approach was applied to evaluate the trend of publication ratio. We also adopted the generalized additive mixed model to compare the publication ratio among the three research disciplines.

Results
During the study period, each research discipline had a significant decrease in publication ratios, especially social behavioral sciences from 2001 to 2011, with an annual percentage change = − 9.77% (95% CI = − 13.45, − 5.93; p-value < .0001). After combining the three research disciplines, the average change of the publication ratio was significantly increased 9.18% (95% CI = 6.42, 12.01; p-value < .0001) per year from 1981 to 2018. Compared to social behavioral sciences, both clinical sciences and life sciences had a significantly smaller publication ratio.

Conclusions
Gun violence research exhibited a significant downward trend in publications in the early 2000s, which may be attributed at least in part to limited federal funding, but the publication ratio increased since the 2010s. To enhance the amount of peer-reviewed gun violence research so that research-informed gun violence interventions are more likely to succeed, decision-makers should keep supporting quality research.
Comparison of estimators of variance for forest inventories with systematic sampling - results from artificial populations
Authors: Magnussen Steen , McRoberts Ronald E. , Breidenbach Johannes , Nord-Larsen Thomas , Ståhl Göran , Fehrmann Lutz , Schnell Sebastian 
Published: March 2020

AbstractBackgroundLarge area forest inventories often use regular grids (with a single random start) of sample locations to ensure a uniform sampling intensity across the space of the surveyed populations. A design-unbiased estimator of variance does not exist for this design. Oftentimes, a quasi-default estimator applicable to simple random sampling (SRS) is used, even if it carries with it the likely risk of overestimating the variance by a practically important margin. To better exploit the precision of systematic sampling we assess the performance of five estimators of variance, including the quasi default. In this study, simulated systematic sampling was applied to artificial populations with contrasting covariance structures and with or without linear trends. We compared the results obtained with theSRS, Matérn’s, successive difference replication, Ripley’s, and D’Orazio’s variance estimators.ResultsThe variances obtained with the four alternatives to theSRSestimator of variance were strongly correlated, and in all study settings consistently closer to the target design variance than the estimator forSRS. The latter always produced the greatest overestimation. In populations with a near zero spatial autocorrelation, all estimators, performed equally, and delivered estimates close to the actual design variance.ConclusionWithout a linear trend, theSDRandDORestimators were best with variance estimates more narrowly distributed around the benchmark; yet in terms of the least average absolute deviation, Matérn’s estimator held a narrow lead. With a strong or moderate linear trend, Matérn’s estimator is choice. In large populations, and a low sampling intensity, the performance of the investigated estimators becomes more similar.
Promoter tools for further development of Aspergillus oryzae as a platform for fungal secondary metabolite production
Authors: Umemura Maiko , Kuriiwa Kaoru , Dao Linh Viet , Okuda Tetsuya , Terai Goro 
Published: March 2020

AbstractBackgroundThe filamentous fungusAspergillus oryzaeis widely used for secondary metabolite production by heterologous expression; thus, a wide variety of promoter tools is necessary to broaden the application of this species. Here we built a procedure to surveyA. flavusgenes constitutively highly expressed in 83 transcriptome datasets obtained under various conditions affecting secondary metabolite production, to find promoters useful for heterologous expression of genes inA. oryzae.ResultsTo test the ability of the promoters of the top 6 genes to induce production of a fungal secondary metabolite, ustiloxin B, we inserted the promoters before the start codon ofustR, which encodes the transcription factor of the gene cluster responsible for ustiloxin B biosynthesis, inA. oryzae. Four of the 6 promoters induced ustiloxin B production in all tested media (solid maize, liquid V8 and PDB media), and alsoustRexpression. Two of the 4 promoters were those oftef1andgpdA, which are well characterized inA. oryzaeandA. nidulans, respectively, whereas the other two, those of AFLA_030930 and AFLA_113120, are newly reported here and show activities comparable to that of thegpdApromoter with respect to induction of gene expression and ustiloxin B production.ConclusionWe newly reported two sequences as promoter tools for secondary metabolite production inA. oryzae. Our results demonstrate that our simple strategy of surveying for constitutively highly expressed genes in large-scale transcriptome datasets is useful for finding promoter sequences that can be used as heterologous expression tools inA. oryzae.
Bringing technology to the mature classroom: age differences in use and attitudes
Authors: Staddon Rachel V. 
Published: March 2020

AbstractMature students are anecdotally thought to be more anxious about technology than younger students, to the extent that they avoid using technology. This is a problem in today’s higher education classrooms which often use a range of learning technologies, particularly as cohorts are becoming more and more likely to contain mature students. Previous work examining the attitudes of mature students to technology no longer reflects contemporary student age profiles or the current technological landscape. This study asks whether modern mature students in a UK university have more negative attitudes towards technology than younger students, and whether their usage of technology is different. A new diagnostic instrument, the Technology Attitudes Questionnaire, was developed to determine how students use technology for course activities and personal use, and their attitudes towards technology more generally. It was found that mature students use fewer technologies than younger students and use them less frequently, but have used them for a longer period over their lives. No difference was found for attitudes towards technology between the mature and younger groups. This research aims to contribute to the wider field of technology attitudes and use, particularly for the modern mature student cohort. These findings can be used to inform how educators design learning resources and use technology on their courses, working towards an age-inclusive programme.