bluuebunny/crossref_metadata_2025_split huggingface dataset:
Bilinear matrix inequality‐based nonquadratic controller design for polytopic‐linear parameter varying systems
Authors: Javanmardi Hamidreza , Dehghani Maryam , Mohammadi Mohsen , Vafamand Navid 
Published: September 2020

SummaryThis article proposes relaxed sufficient bilinear matrix inequality (BMI) conditions to design a gain‐scheduling controller for nonlinear systems described by polytopic‐linear parameter varying (LPV) representations. The obtained conditions are derived based on a nonquadratic Lyapunov function and a parallel distributed compensator scheme. The controller design procedure involves some novel null terms and leads to a BMI problem, which hardly has been solved in previous researches. Furthermore, to effectively solve the BMI conditions, a novel sequential approach is proposed which convert the overall BMI problem into linear matrix inequality (LMI) constraints and some simpler BMI conditions with fewer dimensions than the original one. Initially, the LMI conditions are solved as a convex optimization problem. Second, the BMI terms are iteratively linearized near the feasible solutions of the LMIs and each solution candidates for the BMI constraints. Finally, the linearized condition is solved as an eigenvalue problem. To show the merits of the proposed approach, several numerical comparisons and simulations are provided.
Emotions in the doing of science: Exploring epistemic affect in elementary teachers' science research experiences
Authors: Davidson Shannon G. , Jaber Lama Z. , Southerland Sherry A. 
Published: September 2020

AbstractA critical component to disciplinary engagement in science is that of epistemic affect—learning how tofeelas scientists do when engaged in their work. The emotional responses, feelings, and dispositions that emerge as one participates in the construction of knowledge are part and parcel to the experiences of scientists and, we argue, should be integral to the experiences of science learners—and their teachers—as well. As such, this study takes the position that teachers must have opportunities to encounter, understand, and appreciate the epistemic affect in science to support students in navigating their affect in the science classroom. Through analysis of field observations and semistructured interviews conducted during a 6‐week Research Experience for Teachers program, this study examines how four elementary teachers experience an epistemic affect over the course of their engagement in scientific research. The findings of the study highlight that engaging in science research afforded teachers rich opportunities to experience epistemic affect, ranging from frustration, perseverance, and ultimately pride in their work. We argue such firsthand affective experiences within professional development programs featuring participation in science research hold important implications for teachers' instructional practice and orientations to their students as thinkers, doers, and learners of science.
RETRACTED: Multi‐Stimuli Nanocomposite Therapeutic: Docetaxel Targeted Delivery and Synergies in Treatment of Human Breast Cancer Tumor
Authors: Taheri‐Ledari Reza , Zhang Wenjie , Radmanesh Maral , Mirmohammadi Seyedeh Shadi , Maleki Ali , Cathcart Nicole , Kitaev Vladimir 
Published: September 2020

AbstractA versatile breast cancer‐targeting nanocomposite therapeutic combining docetaxel (DXL), polyvinyl alcohol (PVA) network for controlled release, and silica‐protected magnetic iron oxide nanoparticles (Fe3O4 NPs) for targeted delivery and gold nanoparticles (AuNPs) for plasmonic photothermal therapy (PPTT) is presented in this work. First, the designed nanocomposite is magnetically directed for cancer‐targeted therapy confirmed by computerized tomography (CT) scans. Second, 10% DXL by mass is loaded into PVA, a pH and temperature responsive gel, for controlled release. Third, PPTT is confirmed with Au/Fe3O4/PVA‐10%DXL using a prototype circulation system and then for tumor treatment in vivo; Au/Fe3O4/PVA‐10%DXL is conveniently directed and the entrapped DXL is selectively released (≈96%) via the interaction of green and near‐infrared (NIR) light with the localized surface plasmon resonance of AuNPs. A 75% cell death is reported from in vitro studies with DXL doses as low as 20 µg mL−1 of Au/Fe3O4/PVA‐10%DXL, and a 70% tumor growth inhibition is demonstrated by in vivo experiments with the biosafety studies confirming minimal side effects to other organs. Overall, the developed Au/Fe3O4/PVA‐10%DXL has a strong potential to simultaneously enhance CT imaging contrast together with the targeted delivery of DXL.
Evolution of SHORT VEGETATIVE PHASE (SVP) genes in Rosaceae: Implications of lineage‐specific gene duplication events and function diversifications with respect to their roles in processes other than bud dormancy
Authors: Liu Jinyi , Ren Min , Chen Hui , Wu Silin , Yan Huijun , Jalal Abdul , Wang Changquan 
Published: September 2020

AbstractMADS‐box genes that are homologous to Arabidopsis SHORT VEGETATIVE PHASE (SVP) have been shown to play key roles in the regulation of bud dormancy in perennial species, particularly in the deciduous fruit trees of Rosaceae. However, their evolutionary profiles in Rosaceae have not yet been analyzed systematically. Here, The SVP genes were found to be significantly expanded in Rosaceae when compared with annual species from Brassicaceae. Phylogenetic analysis showed that Rosaceae SVP genes could be classified into five clades, namely, SVP1, SVP2‐R1, SVP2‐R2, SVP2‐R3 and SVP3. The SVP1 clade genes were retained in most of the species, whereas the SVP2‐R2 and SVP2‐R3 clades were found to be Maleae‐ and Amygdaleae‐specific (Both of the lineages belong to Amygdaloideae), respectively, and SVP2‐R1 was Rosoideae‐specific in Rosaceae. Furthermore, 10 lineage‐specific gene duplication (GD) events (GD1–10) were proposed for the expansion of SVP genes, suggesting that the expansion and divergence of Rosaceae SVP genes were mainly derived by lineage‐specific manner during evolution. Moreover, tandem and segmental duplications were the major reasons for the expansion of SVP genes, and interestingly, tandem duplications, a well‐known evolutionary feature of SVP genes, were found to be mainly Amygdaloideae‐specific. Sequence alignment, selection pressure, and cis‐acting element analysis suggested large functional innovations and diversification of SVP genes in different lineages of Rosaceae. Finally, the different growth cycle of Rosa multiflora and their novel expression patterns of RmSVP genes provided new insights into the functional diversification of SVP genes in terms of their roles in processes other than bud dormancy.
The O(N ) model with ϕ6 potential in ℝ2 × ℝ+
Authors: Herzog Christopher P. , Kobayashi Nozomu 
Published: September 2020

Abstract
We study the large N limit of O(N ) scalar field theory with classically marginal ϕ6 interaction in three dimensions in the presence of a planar boundary. This theory has an approximate conformal invariance at large N . We find different phases of the theory corresponding to different boundary conditions for the scalar field. Computing a one loop effective potential, we examine the stability of these different phases. The potential also allows us to determine a boundary anomaly coefficient in the trace of the stress tensor. We further compute the current and stress-tensor two point functions for the Dirichlet case and decompose them into boundary and bulk conformal blocks. The boundary limit of the stress tensor two point function allows us to compute the other boundary anomaly coefficient. Both anomaly coefficients depend on the approximately marginal ϕ6 coupling.
Evaluation einer Therapieanpassung bei ASS-Low-Response in der Gefäßchirurgie
Authors: Hummel T , Meves S. H. , Breuer-Kaiser A. , Düsterwald J. O. , Mühlberger D. , Mumme A. , Neubauer H. 
Published: September 2020

Zusammenfassung
Hintergrund
Eine verminderte antithrombozytäre Prophylaxe („Low-Response [LR]“/„high on-treatment platelet reactivity [HPR]“) mit Acetylsalicylsäure (ASS) ist mit einem erhöhten Risiko für thrombembolische Ereignisse assoziiert. Die Prävalenz einer Low-Response ist mit ca. 20 % häufig und ein Therapieregime wurde bisher noch nicht etabliert. Das Ziel dieser prospektiven Studie war es, die Effektivität eines Therapieschemas zur Therapieanpassung bei detektierter LR/HPR bei gefäßchirurgischen Patienten zu evaluieren.

Methodik
Insgesamt wurden 36 gefäßchirurgischen Patienten mit einer antithrombozytären Dauermedikation mit ASS 100 mg/Tag und einer nachgewiesenen ASS-Low-Response (ALR) in die Studie eingeschlossen. Entsprechend dem festgelegten Therapieplan wurde bei diesen Patienten eine Therapieanpassung durchgeführt und eine Kontrollaggregometrie zur Erfolgskontrolle durchgeführt. Das verwendete Therapieschema folgte dem Test-and-treat-Prinzip. Zur Beurteilung der Wirkung von ASS diente die Impedanzaggregometrie mittels Mehrelektrodenaggregometer (Multiplate).

Ergebnisse
Insgesamt konnten alle 36 Patienten erfolgreich in eine Response überführt werden. Bei 32 (88,89 %) Patienten erfolgte eine Dosiserhöhung auf 300 mg ASS, 2 (5,56 %) Patienten wurden von ASS auf Clopidogrel umgestellt. Bei weiteren 2 (5,56 %) Patienten wurde auf eine orale Antikoagulation mit Phenprocoumon aufgrund anderer Indikationen umgestellt. Blutungskomplikationen oder Nebenwirkungen traten nicht auf.

Schlussfolgerung
Das gewählte Therapieschema zur Behandlung einer Low-Response erwies sich als effektiv und sicher bei gefäßchirurgischen Patienten. Überwiegend führte eine leitliniengerechte Dosiserhöhung der Prophylaxe von 100 mg auf 300 mg ASS zu einer effektiven Thrombozytenaggregationshemmung in der Aggregometrie.
Is the productivity premium of internationalized firms technology-driven?
Authors: Battisti Michele , Belloc Filippo , Del Gatto Massimo 
Published: September 2020

AbstractWe ask whether the productivity advantage of internationalized firms documented by the international trade literature can be interpreted most accurately in terms of proximity to the “technological frontier”. We answer in the affirmative using a methodology (based on mixture models) of unbundling technology and total factor productivity (TFP) by estimating “technology-specific” production function parameters. Exploiting detailed data provided by the EFIGE database (a sample of firms distributed across Austria, France, Germany, Hungary, Italy, Spain, and the UK), we find technology gaps (with respect to the frontier) more than three times larger than the TFP gaps on average. We also find sizable technology advantages for firms undertaking foreign direct investment and/or exporting to other European Union countries or to China, for importers of materials, and for firms with competitors in China and the USA. Medium and large firms feature a higher technology premium, which is even higher for firms operating in country-sectors that are more exposed to import competition from China. Younger firms use better technologies but less effectively.
Imaging-based patient-reported outcomes (PROs) database: How we do it
Authors: Gyftopoulos Soterios , Jacobs Adam , Samim Mohammad 
Published: September 2020

AbstractPatient-reported outcomes (PROs) provide an essential understanding of the impact a condition or treatment has on a patient, while complementing other, more traditional outcomes information like survival and time to symptom resolution. PROs have become increasingly important in medicine with the push toward patient-centered care. The creation of a PROs database within an institution or practice provides a way to collect, understand, and use this kind of patient feedback to inform quality improvement and develop the evidence base for medical decision-making and on a larger scale could potentially help determine national standards of care and treatment guidelines. This paper provides a first-hand account of our experience setting up an imaging-based PROs database at our institution and is organized into steps the reader can follow for creating a PROs database of their own. Given the limited use of PROs within both diagnostic and interventional radiology, we hope our paper stimulates a new interest among radiologists who may have never considered outcomes work in the past.
Very long-term follow-up of aplastic anemia treated with immunosuppressive therapy or allogeneic hematopoietic cell transplantation
Authors: Drexler Beatrice , Zurbriggen Felicitas , Diesch Tamara , Viollier Romaine , Halter Joerg P. , Heim Dominik , Holbro Andreas , Infanti Laura , Buser Andreas , Gerull Sabine , Medinger Michael , Tichelli André , Passweg Jakob R. 
Published: September 2020

AbstractIntroductionSince the 1970s outcome of aplastic anemia (AA) patients has improved significantly due to the introduction of immunosuppressive therapy (IST) and allogeneic hematopoietic transplantation (HCT). However, patients may suffer from persistent disease, relapse, clonal evolution, graft-versus-host disease and other late effects. Here, we analyse very long-term outcome of all AA patients at our institution comparing not only survival, but also response status and complications.MethodsPatient charts of all 302 AA patients treated between 1973 and 2017 at the University Hospital Basel, Switzerland, were retrospectively analysed.ResultsFirst line treatment was IST in 226 (75%) and HCT in 76 (25%) patients. Overall survival at 30 years was similar in patients treated initially by HCT and IST (44% (±14%), and 40% (± 9%) respectively, with better results in more recent years. Partial and no response occurred more frequently after IST, relapse incidence after IST was 24 %, whereas non-engraftment and graft failure was documented in 15 patients (19 %) after HCT. Clonal evolution to myelodysplastic syndrome / acute myeloid leukemia was 16 % at 25 years in IST patients, 1.3 % in HCT patients, iron overload (18 versus 4 %, p = 0.002) and cardiovascular events (11 versus 1 %, p=0.011) occured significantly more often in IST than HCT treated patients. The majority of long-term survivors, 96% of those alive at 25 years, were in complete remission at last follow up, irrespective of the initial treatment modality.ConclusionVery long term survivors after AA are those with stable hematopoietic recovery.
Initial chest radiographs and artificial intelligence (AI) predict clinical outcomes in COVID-19 patients: analysis of 697 Italian patients
Authors: Mushtaq Junaid , Pennella Renato , Lavalle Salvatore , Colarieti Anna , Steidler Stephanie , Martinenghi Carlo M. A. , Palumbo Diego , Esposito Antonio , Rovere-Querini Patrizia , Tresoldi Moreno , Landoni Giovanni , Ciceri Fabio , Zangrillo Alberto , De Cobelli Francesco 
Published: September 2020

Abstract
Objective
To evaluate whether the initial chest X-ray (CXR) severity assessed by an AI system may have prognostic utility in patients with COVID-19.

Methods
This retrospective single-center study included adult patients presenting to the emergency department (ED) between February 25 and April 9, 2020, with SARS-CoV-2 infection confirmed on real-time reverse transcriptase polymerase chain reaction (RT-PCR). Initial CXRs obtained on ED presentation were evaluated by a deep learning artificial intelligence (AI) system and compared with the Radiographic Assessment of Lung Edema (RALE) score, calculated by two experienced radiologists. Death and critical COVID-19 (admission to intensive care unit (ICU) or deaths occurring before ICU admission) were identified as clinical outcomes. Independent predictors of adverse outcomes were evaluated by multivariate analyses.

Results
Six hundred ninety-seven 697 patients were included in the study: 465 males (66.7%), median age of 62 years (IQR 52–75). Multivariate analyses adjusting for demographics and comorbidities showed that an AI system-based score ≥ 30 on the initial CXR was an independent predictor both for mortality (HR 2.60 (95% CI 1.69 − 3.99; p < 0.001)) and critical COVID-19 (HR 3.40 (95% CI 2.35–4.94; p < 0.001)). Other independent predictors were RALE score, older age, male sex, coronary artery disease, COPD, and neurodegenerative disease.

Conclusion
AI- and radiologist-assessed disease severity scores on CXRs obtained on ED presentation were independent and comparable predictors of adverse outcomes in patients with COVID-19.

Trial registration
ClinicalTrials.gov NCT04318366 (https://clinicaltrials.gov/ct2/show/NCT04318366).

Key Points
• AI system–based score ≥ 30 and a RALE score ≥ 12 at CXRs performed at ED presentation are independent and comparable predictors of death and/or ICU admission in COVID-19 patients.
• Other independent predictors are older age, male sex, coronary artery disease, COPD, and neurodegenerative disease.
• The comparable performance of the AI system in relation to a radiologist-assessed score in predicting adverse outcomes may represent a game-changer in resource-constrained settings.
Low-dose MDCT: evaluation of the impact of systematic tube current reduction and sparse sampling on the detection of degenerative spine diseases
Authors: Sollmann Nico , Mei Kai , Riederer Isabelle , Probst Monika , Löffler Maximilian T. , Kirschke Jan S. , Noël Peter B. , Baum Thomas 
Published: September 2020

Abstract
Objectives
To investigate potential radiation dose reduction for multi-detector computed tomography (MDCT) exams of the spine by using sparse sampling and virtually lowered tube currents combined with statistical iterative reconstruction (SIR).

Methods
MDCT data of 26 patients (68.9 ± 11.7 years, 42.3% males) were retrospectively simulated as if the scans were acquired at 50%, 10%, 5%, and 3% of the original X-ray tube current or number of projections, using SIR for image reconstructions. Two readers performed qualitative image evaluation considering overall image quality, artifacts, and contrast and determined the number and type of degenerative changes. Scoring was compared between readers and virtual low-dose and sparse-sampled MDCT, respectively.

Results
Image quality and contrast decreased with virtual lowering of tube current and sparse sampling, but all degenerative changes were correctly detected in MDCT with 50% of tube current as well as MDCT with 50% of projections. Sparse-sampled MDCT with only 10% of initial projections still enabled correct identification of all degenerative changes, in contrast to MDCT with virtual tube current reduction by 90% where non-calcified disc herniations were frequently missed (R1: 23.1%, R2: 21.2% non-diagnosed herniations). The average volumetric CT dose index (CTDIvol) was 1.4 mGy for MDCT with 10% of initial projections, compared with 13.8 mGy for standard-dose imaging.

Conclusions
MDCT with 50% of original tube current or projections using SIR still allowed for accurate diagnosis of degenerative changes. Sparse sampling may be more promising for further radiation dose reductions since no degenerative changes were missed with 10% of initial projections.

Key Points
• Most common degenerative changes of the spine can be diagnosed in multi-detector CT with 50% of tube current or number of projections.
• Sparse-sampled multi-detector CT with only 10% of initial projections still enables correct identification of degenerative changes, in contrast to imaging with 10% of original tube current.
• Sparse sampling may be a promising option for distinct lowering of radiation dose, reducing the CTDIvolfrom 13.8 to 1.4 mGy in the study cohort.
Choroidal thickness in lamellar macular holes
Authors: Kal Magdalena , Winiarczyk Mateusz , Głuszek Stanisław , Mackiewicz Jerzy 
Published: September 2020

Abstract
Purpose
(1) To assess the thickness of the central choroid (BM-CSI) in swept-source optical coherence tomography (SS-OCT) examination of lamellar macular holes (LMHs). (2) To establish correlations between the thickness of the central choroid (BM-CSI) in the LHM and the parameters of best-corrected visual acuity and reading vision in patients with LMH.

Methods
This prospective case-control study assessed a group of 30 patients (30 eyes) with LMHs and a control group of 45 patients (90 eyes). The thickness of the central choroid (BM-CSI) was measured with an SS-OCT device. The average choroidal thickness in the fovea was defined as average thickness in the central area of 1000 μm in diameter, according to the Early Treatment Diabetic Retinopathy Study (ETDRS). The results were correlated with best-corrected visual acuity (BCVA), and reading vision.

Results
The average choroidal thickness in the study group (SG) with LMH was 160.34 μm (SD = 77.1), whereas in the control group (CG), it was 225.11 μm (SD = 93.8). The difference of 64.77 μm was statistically significant (p < 0.05). The BCVA was within the range between 0.7 (logMAR) and 0.1 (logMAR), with an average of 0.36 (logMAR) (SD = 0.23). Reading vision was within the range between − 0.2 (logMAR) and 0.3 (logMAR), with an average of 0.27 (logMAR) (SD = 0.12). A significant correlation between BCVA and the choroid (BM-CSI) was found. The correlation coefficient is average (r = 0.44) and positive. With better BCVA, a significantly thicker choroid (BM-CSI) can be observed. No significant correlation between BM-CSI and reading vision was found. The correlation coefficient value is minor (r = − 0.289), whereas lower values of BM-CSI can be observed with worse reading vision.

Conclusion
We suggest that the choroid may take part in the pathogenesis of LMH development. Its significant thinning may be responsible for the ischemic degenerative mechanism degenerating outer layers of retina, apart from tractional mechanism.
The physiology of regulated BDNF release
Authors: Brigadski Tanja , Leßmann Volkmar 
Published: September 2020

AbstractThe neurotrophic factor BDNF is an important regulator for the development of brain circuits, for synaptic and neuronal network plasticity, as well as for neuroregeneration and neuroprotection. Up- and downregulations of BDNF levels in human blood and tissue are associated with, e.g., neurodegenerative, neurological, or even cardiovascular diseases. The changes in BDNF concentration are caused by altered dynamics in BDNF expression and release. To understand the relevance of major variations of BDNF levels, detailed knowledge regarding physiological and pathophysiological stimuli affecting intra- and extracellular BDNF concentration is important. Most work addressing the molecular and cellular regulation of BDNF expression and release have been performed in neuronal preparations. Therefore, this review will summarize the stimuli inducing release of BDNF, as well as molecular mechanisms regulating the efficacy of BDNF release, with a focus on cells originating from the brain. Further, we will discuss the current knowledge about the distinct stimuli eliciting regulated release of BDNF under physiological conditions.
Semi-supervised deep learning based named entity recognition model to parse education section of resumes
Authors: Gaur Bodhvi , Saluja Gurpreet Singh , Sivakumar Hamsa Bharathi , Singh Sanjay 
Published: September 2020

AbstractA job seeker’s resume contains several sections, including educational qualifications. Educational qualifications capture the knowledge and skills relevant to the job. Machine processing of the education sections of resumes has been a difficult task. In this paper, we attempt to identify educational institutions’ names and degrees from a resume’s education section. Usually, a significant amount of annotated data is required for neural network-based named entity recognition techniques. A semi-supervised approach is used to overcome the lack of large annotated data. We trained a deep neural network model on an initial (seed) set of resume education sections. This model is used to predict entities of unlabeled education sections and is rectified using a correction module. The education sections containing the rectified entities are augmented to the seed set. The updated seed set is used for retraining, leading to better accuracy than the previously trained model. This way, it can provide a high overall accuracy without the need of large annotated data. Our model has achieved an accuracy of 92.06% on the named entity recognition task.