bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluation of “SIBS”, An Intervention for Siblings and Parents of Children with Chronic Disorders
Authors: Haukeland Yngvild Bjartveit , Czajkowski Nikolai Olavi , Fjermestad Krister Westlye , Silverman Wendy K. , Mossige Svein , Vatne Torun Marie 
Published: June 2020

AbstractSiblings of children with chronic disorders are at increased risk of experiencing family communication problems and poorer mental health. We assessed initial feasibility, acceptability, and outcomes of SIBS; a manual-based group intervention for siblings and parents of children with chronic disorders, aiming to improve parent-sibling communication and sibling mental health. Ninety-nine siblings aged 8–16 years (M = 11.5 years,SD = 2.0; 54.5% girls) and parents (63.6% mothers) of children with chronic disorders participated in three separate group sessions for siblings and parents and two joint sessions with integrated sibling-parent dialogues. We assessed participant satisfaction post-intervention and checked for group leader manual adherence. We measured the following outcomes at baseline, three, and six months post-intervention in an open trial: (1) parent-sibling communication quality; (2) sibling emotional and behavioral problems; (3) sibling adaptation to the disorder; and (4) sibling disorder knowledge. Using growth curve modeling, we found significant improvement in parent-sibling communication quality (p = 0.001), emotional and behavioral problems (p = 0.009), adaptation to the disorder (p = 0.003), and disorder knowledge (p = 0.000) from baseline to follow-up (effect sizesd = 0.22 to 0.64). Improvement in sibling-reported emotional and behavioral problems and adaptation to the disorder was partly explained by communication quality. User satisfaction was high and manual adherence was good. Our evaluation yields support for the SIBS intervention, with initial evidence of acceptability, feasibility, and beneficial outcomes. Our study suggests targeting parent-sibling communication may be a beneficial way of improving siblings’ mental health.
On the Generalized Essential Matrix Correction: An Efficient Solution to the Problem and Its Applications
Authors: Miraldo Pedro , Cardoso João R. 
Published: June 2020

AbstractThis paper addresses the problem of finding the closest generalized essential matrix from a given$$6\times 6$$6×6matrix, with respect to the Frobenius norm. To the best of our knowledge, this nonlinear constrained optimization problem has not been addressed in the literature yet. Although it can be solved directly, it involves a large number of constraints, and any optimization method to solve it would require much computational effort. We start by deriving a couple of unconstrained formulations of the problem. After that, we convert the original problem into a new one, involving only orthogonal constraints, and propose an efficient algorithm of steepest descent type to find its solution. To test the algorithms, we evaluate the methods with synthetic data and conclude that the proposed steepest descent-type approach is much faster than the direct application of general optimization techniques to the original formulation with 33 constraints and to the unconstrained ones. To further motivate the relevance of our method, we apply it in two pose problems (relative and absolute) using synthetic and real data.
Fast character modeling with sketch-based PDE surfaces
Authors: You Lihua , Yang Xiaosong , Pan Junjun , Lee Tong-Yee , Bian Shaojun , Qian Kun , Habib Zulfiqar , Sargano Allah Bux , Kazmi Ismail , Zhang Jian J. 
Published: June 2020

AbstractVirtual characters are 3D geometric models of characters. They have a lot of applications in multimedia. In this paper, we propose a new physics-based deformation method and efficient character modelling framework for creation of detailed 3D virtual character models. Our proposed physics-based deformation method uses PDE surfaces. Here PDE is the abbreviation of Partial Differential Equation, and PDE surfaces are defined as sculpting force-driven shape representations of interpolation surfaces. Interpolation surfaces are obtained by interpolating key cross-section profile curves and the sculpting force-driven shape representation uses an analytical solution to a vector-valued partial differential equation involving sculpting forces to quickly obtain deformed shapes. Our proposed character modelling framework consists of global modeling and local modeling. The global modeling is also called model building, which is a process of creating a whole character model quickly with sketch-guided and template-based modeling techniques. The local modeling produces local details efficiently to improve the realism of the created character model with four shape manipulation techniques. The sketch-guided global modeling generates a character model from three different levels of sketched profile curves called primary, secondary and key cross-section curves in three orthographic views. The template-based global modeling obtains a new character model by deforming a template model to match the three different levels of profile curves. Four shape manipulation techniques for local modeling are investigated and integrated into the new modelling framework. They include: partial differential equation-based shape manipulation, generalized elliptic curve-driven shape manipulation, sketch assisted shape manipulation, and template-based shape manipulation. These new local modeling techniques have both global and local shape control functions and are efficient in local shape manipulation. The final character models are represented with a collection of surfaces, which are modeled with two types of geometric entities: generalized elliptic curves (GECs) and partial differential equation-based surfaces. Our experiments indicate that the proposed modeling approach can build detailed and realistic character models easily and quickly.
Repeat radiation with bevacizumab and minocycline in bevacizumab-refractory high grade gliomas: a prospective phase 1 trial
Authors: Cohen Adam L. , Anker Christopher J. , Johnson Brett , Burt Lindsay M. , Shrieve Dennis C. , Salzman Karen , Jensen Randy , Boucher Ken , Colman Howard 
Published: June 2020

Abstract
Introduction
There are no effective treatments for gliomas after progression on radiation, temozolomide, and bevacizumab. Microglia activation may be involved in radiation resistance and can be inhibited by the brain penetrating antibiotic minocycline. In this phase 1 trial, we examined the safety and effect on survival, symptom burden, and neurocognitive function of reirradiation, minocycline, and bevacizumab.

Methods
The trial used a 3 + 3 design for dose escalation followed by a ten person dose expansion. Patients received reirradiation with dosing based on radiation oncologist judgment, bevacizumab 10 mg/kg IV every two weeks, and oral minocycline twice a day. Symptom burden was measured using MDASI-BT. Neurocognitive function was measured using the COGSTATE battery.

Results
The maximum tolerated dose of minocycline was 400 mg twice a day with no unexpected toxicities. The PFS3 was 64.6%, and median overall survival was 6.4 months. Symptom burden and neurocognitive function did not decline in the interval between treatment completion and tumor progression.

Conclusions
Minocycline 400 mg orally twice a day with bevacizumab and reirradiation is well tolerated by physician and patient reported outcomes in people with gliomas that progress on bevacizumab.
Investigating exploration for deep reinforcement learning of concentric tube robot control
Authors: Iyengar Keshav , Dwyer George , Stoyanov Danail 
Published: June 2020

AbstractPurposeConcentric tube robots are composed of multiple concentric, pre-curved, super-elastic, telescopic tubes that are compliant and have a small diameter suitable for interventions that must be minimally invasive like fetal surgery. Combinations of rotation and extension of the tubes can alter the robot’s shape but the inverse kinematics are complex to model due to the challenge of incorporating friction and other tube interactions or manufacturing imperfections. We propose a model-free reinforcement learning approach to form the inverse kinematics solution and directly obtain a control policy.MethodThree exploration strategies are shown for deep deterministic policy gradient with hindsight experience replay for concentric tube robots in simulation environments. The aim is to overcome the joint to Cartesian sampling bias and be scalable with the number of robotic tubes. To compare strategies, evaluation of the trained policy network to selected Cartesian goals and associated errors are analyzed. The learned control policy is demonstrated with trajectory following tasks.ResultsSeparation of extension and rotation joints for Gaussian exploration is required to overcome Cartesian sampling bias. Parameter noise and Ornstein–Uhlenbeck were found to be optimal strategies with less than 1 mm error in all simulation environments. Various trajectories can be followed with the optimal exploration strategy learned policy at high joint extension values. Our inverse kinematics solver in evaluation has 0.44 mm extension and$$0.3^{\circ }$$0.3∘rotation error.ConclusionWe demonstrate the feasibility of effective model-free control for concentric tube robots. Directly using the control policy, arbitrary trajectories can be followed and this is an important step towards overcoming the challenge of concentric tube robot control for clinical use in minimally invasive interventions.
Satisfied or not? Exploring the interplay of individual, country and international organization characteristics for negotiation success
Authors: Panke Diana , Polat Gurur , Hohlstein Franziska 
Published: June 2020

AbstractInternational norms and rules are created in international negotiations. A comprehensive survey shows that the satisfaction with negotiation outcomes varies between delegates, states and International Organizations (IOs), which is important as it has potential ramifications for state compliance and the effectiveness of the international rules and norms. This paper investigates which role individual, country and IO features and their interactions play for satisfaction with international negotiation outcomes. Drawing on approaches of international negotiation and cooperation, hypotheses on individual, country and IO features are specified and examined empirically with a multilevel analysis. This reveals that especially individual and IO level features impact outcome satisfaction. Outcome satisfaction increases if delegates put in much work in negotiations and can conduct them flexibly and if IOs are small in size, and have institutional designs that seek to foster debates. The paper also shows that there are cross-level interaction effects. Most notably, the positive effect of flexibility on high outcome satisfaction is less pronounced when negotiations are more strongly characterized by bargaining dynamics. Vice-versa, when IOs are prone to arguing dynamics all actors become more satisfied.
Intrinsic values and the life framework of values: why we should go back to basics—comment to O’Connor and Kenter (2019)
Authors: Neuteleers Stijn , Deliège Glenn , Melle Ullrich 
Published: June 2020

AbstractThe IPBES Framework aims to allow room for a plurality of values and recently proposed a move from `Ecosystem Services’ to `Nature’s Contributions to People’. O’Connor and Kenter (2019) argue that both approaches still disregard nature as an end in itself. Therefore, they propose a new conceptualisation of `intrinsic value’ and a new approach, labelled the `Life Framework of Values’. This work is highly relevant, but we argue that there are some fundamental conceptual problems with their current account, in particular with the conceptualisation of intrinsic value, relational value, and their category of `living as’. We argue that the changes made to the underlying framework of O’Neill add more confusion than clarification, that it is better to return to the original framework and to focus energy on making that framework applicable.
Does Mixed Neuroendocrine-Nonneuroendocrine Neoplasm (MiNEN) of the Parathyroid Gland Exist? First Description of a Possible Case
Authors: Di Palma Silvana , Mufaddal Moonim , Iyer Vishwas , Sciarra Amedeo , La Rosa Stefano 
Published: June 2020

AbstractWe describe the histological, histochemical, and immunohistochemical features of an unusual neoplasm of the parathyroid gland showing the histologic criteria of a mixed neuroendocrine-nonneuroendocrine neoplasm (MiNEN). To the best of our knowledge, this is the first report of such a tumor. A 43-year old male presented with acute and severe abdominal pain due to acute pancreatitis. On physical examination a painless lump in the right neck was detected and laboratory analyses revealed hyperparathyroidism (parathormone: 146 pmol/L, normal range 1.05–6.83) and hypercalcemia (calcium level: 3.02 mg/dL, normal range 2.25–2.5), which fell to 2.55 mg/dL after parathyroidectomy. Histologically, the tumor was a parathyroid carcinoma associated with a mucous secreting adenocarcinoma also confirmed by histochemical (Alcian blue—periodic acid Schiff) and immunohistochemical stainings. The present case expands the spectrum of MiNENs that can be found in endocrine organs.
Downstream processing and characterization of polyhydroxyalkanoates (PHAs) produced by mixed microbial culture (MMC) and organic urban waste as substrate
Authors: Lorini Laura , Martinelli Andrea , Pavan Paolo , Majone Mauro , Valentino Francesco 
Published: June 2020

AbstractThe utilization of food waste and sewage sludge as organic substrate from urban context for the synthesis of microbial polyhydroxyalkanoates (PHAs) has been only recently investigated at pilot scale. Within this context, two stabilization methods have been found for preserving the amount of PHA intracellularly produced by open mixed microbial culture (MMC): thermal drying and wet acidification of the biomass at the end of PHA accumulation process. The extracted PHA from the two differently stabilized biomasses was then characterized with regard to chemical composition, molecular weight, and thermal properties. The polymer contained two types of monomers, namely 3-hydroxybutyrate (3HB) and 3-hydroxyvalerate (3HV) at a relative percentage of 93.0–79.8 and 7.0–20.2 w/w, respectively. PHA extracted from wet-acidified biomass had higher average molecular weights (Mw) of 370–424 kDa while PHA recovered from thermally stabilized dried biomass had a 3-fold lower Mw (on average). The PHA decomposition temperatures Td10% and Tdmax were in the range 260–268 °C and 269–303 °C, respectively, not dependent on the monomeric composition or molecular weight. Thermal properties such as melting temperature (Tm1 132–150 °C; Tm2 155–167 °C) and melting enthalpy (26–70 J/g) were quantified in a relatively broad range according to the different stabilization-extraction method and obtained composition.
Two-level fusion big data compression and reconstruction framework combining second-generation wavelet and lossless compression
Authors: Chuanchao Zhang 
Published: June 2020

AbstractIn view of the characteristics of big data, fuzziness, and real time of data acquisition and transmission in the fuzzy information system faced by aircraft health management, to reduce the load of airborne data processing and transmission system under the condition of limited airborne computing resources and strong time constraints, the data collected by the airborne system are first compressed, and the amount of data are reduced before transmission and reconstructed after transmission. In view of the situation that the compression ratio of primary data compression is too small and the compression time is too long for large-scale fuzzy systems to meet the transmission requirements of the system, this paper combines the advantages of lossy compression method which consumes less time and lossless compression method which has higher compression ratio, and innovatively proposes a two-level data compression and reconstruction framework combining lossy compression and lossless compression. The optimization analysis is carried out. Taking a real aero-engine health sample as an example, the validity, scientificity, and robustness of the proposed framework are verified by comparing with data compression and reconstruction algorithm based on redundant sparse representation and compressed sensing.
Assessment of race and sex as risk factors for colonization with multidrug-resistant organisms in six nursing homes
Authors: Gontjes Kyle J. , Gibson Kristen E. , Lansing Bonnie J. , Mody Lona , Cassone Marco 
Published: June 2020

AbstractThe role of demographic characteristics, such as sex and race, as risk factors for colonization with multidrug-resistant organisms, has not been established in the nursing home setting. We demonstrate significantly higher prevalence overall in male patients, and sex differences are dependent on organism of interest and body site.
Aristotle's Manipulative Maxims
Authors: DiLeo Daniel 
Published: June 2020

AbstractIn actual regimes as described by Aristotle, authoritative civic choices were not the outcome of speech among citizens about the noble things and the just things. Rather, he saw them as products of the flawed presuppositions and misperceptions of dominant factions. Since he held that the human good was dependent on the persistence of lawful systems of rule, no matter how flawed, he viewed the tendency of dominant factions toward regime-destructive extremism as the fundamental political problem. His short-term response was to teach manipulative rhetoric and the outline of a strategy for regime preservation to his students. This equipped his students to prevail against the speech of the ignorant and malevolent and impressed those students with the need to acquire political knowledge. His long-term response was the initiation of a system of education that would turn citizens away from regime-destructive predilections.
Ultra-faint Lyman Alpha Emitters with MUSE
Authors: Maseda Michael V. ,   the MUSE GTO Consortium
Published: June 2020

AbstractUsing an ultra-deep, untargeted survey with the MUSE integral field spectrograph on the ESO Very Large Telescope, we obtain spectroscopic redshifts to a depth never explored before: galaxies with observed magnitudes m > 30–32. Specifically, we detect objects via Lyman-α emission at 2.9 < z < 6.7 without individual continuum counterparts in areas covered by the deepest optical/near-infrared imaging taken by the Hubble Space Telescope, the Hubble Ultra Deep Field. In total, we find more than 100 such objects in 9 square arcminutes at these redshifts, also including a number of sources that are visible only in the HST band that contains Lyman-α. Detailed HST and IRAC stacking analyses confirm the Lyman-α emission as well as the 1216 Å breaks, faint UV continua (MUV ∼ −15), and optical emission lines: these objects are the faintest spectroscopically-confirmed galaxies at high-z. The blue UV continuum slopes and measurements/limits on the equivalent widths of Lyman-α, which in some cases exceeds 300 Å, are consistent with ages < 10 Myr, metallicities < 5% solar, and stellar masses < 107–8 solar masses. The nature of these types of objects is intriguing as they could be the faint star-forming sources of Reionization and could represent the initial (strong) phase of stellar mass growth in galaxies.
Guitarra, a Simulator for the JWST/NIRCam
Authors: Willmer Christopher N. A. , Hainline Kevin N. , Curtis-Lake Emma ,   JADES Team
Published: June 2020

AbstractWe present an overview of Guitarra, a simulator for the Near Infrared Camera that creates scenes from catalogues of mock or real sources using the current best estimates of the instrument characteristics and the pattern on the sky of the observations.
Galaxy Evolution through spectral fitting tools: A comparative study between STECKMAP and FADO
Authors: Pappalardo Ciro , Papaderos Polychronis , Gomes Jean Michel , Cardoso Leandro , Afonso Ana , Matute Israel , Amarantidis Stergios 
Published: June 2020

AbstractSpectral analysis is nowadays a widely used tool to investigate the evolution of galaxies. Assessing the reliability of this approach is crucia, motivating a through analysis. In this poster, a comparative study between two widely tools, FADO and STECKMAP, is performed, focusing on the discrepancies between the different approaches. Both codes use different methods to extract the best fit, allowing the possibility to disentangle possible biases introduced in the analysis. Our analysis showed that where nebular emission is not negligible, the results obtained with methods taking into account such a component are more reliable, and this can be very important when moving at higher redshift, where stellar populations are younger. In particular, this is true for starburst systems, where a huge amount of stars are forming almost at the same epoch. This is an important aspect to take into account the future survey, as JWST for example, which will provide the community with medium resolution spectra of galaxies at redshift 3-4 and even higher.
The quest for relics: Massive compact galaxies in the local Universe
Authors: Schnorr-Müller A. , Trevisan M. , Lohmann F. S. , Mallmann N. , Riffel R. , Chies-Santos A. , Furlanetto C. 
Published: June 2020

AbstractIn the local Universe there exists a rare population of compact galaxies resembling the high-redshift quiescent population in mass and size. It has been found that some of these objects have survived largely unchanged since their formation at high-z. They are called relic galaxies. With the goal of finding relic galaxies, we searched the SDSS-MaNGA DR15 release for massive compact galaxies. We find that massive compact galaxies are mostly composed of old, metal-rich and alpha enhanced stellar populations. In terms of kinematics, massive compact galaxies show ordered rotation in their velocity fields and σ* profiles rising towards the center. They are predominantly fast rotators and show increased rotational support when compared to a mass-matched control sample of average-sized early-type galaxies. These properties are consistent with these objects being relic galaxies. However, to confirm their relic status, we need to probe larger radii (⪎3Re) than probed with the current data.
The mechanobiology of kidney podocytes in health and disease
Authors: Reynolds Paul A. 
Published: June 2020

Abstract
Chronic kidney disease (CKD) substantially reduces quality of life and leads to premature death for thousands of people each year. Dialysis and kidney organ transplants remain prevalent therapeutic avenues but carry significant medical, economic and social burden. Podocytes are responsible for blood filtration selectivity in the kidney, where they extend a network of foot processes (FPs) from their cell bodies which surround endothelial cells and interdigitate with those on neighbouring podocytes to form narrow slit diaphragms (SDs). During aging, some podocytes are lost naturally but accelerated podocyte loss is a hallmark of CKD. Insights into the origin of degenerative podocyte loss will help answer important questions about kidney function and lead to substantial health benefits. Here, approaches that uncover insights into podocyte mechanobiology are reviewed, both those that interrogate the biophysical properties of podocytes and how the external physical environment affects podocyte behaviour, and also those that interrogate the biophysical effects that podocytes exert on their surroundings.