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Sandip Sinharay
Tests for a change point (e.g., Chen and Gupta, Parametric statistical change point analysis (2nd ed.). Birkhuser, Boston, 2012; Hawkins et al., J Qual Technol 35:355-366, 2003) have recently been brought into the spotlight for their potential uses in psychometrics. They have been successfully applied to detect an unusual change in the mean score of a sequence of administrations of an international language assessment (Lee and von Davier, Psychometrika 78:557-575, 2013) and to detect speededness of examinees (Shao et al...
October 21, 2016: Psychometrika
Gulsum Yilmaz, Umit Bozkurt, Karin Aleksanyan Magden
Aerobic granulation is a promising technology for wastewater treatment, but problems regarding its formation and stability need to be solved. Divalent metal ions, especially Ca(2+), Mg(2+) and Mn(2+), have been demonstrated to play an important role in the process of aerobic granulation. Here, we studied whether iron ions can affect aerobic granulation. Granular sludge formed without iron ion addition (<0.02 mg Fe(2+) L(-1)) was fluffy and had a finger-type structure and filamentous out-growth. The addition of iron ions to concentrations of 1 and 10 mg Fe(2+) L(-1) repressed the finger-type structure and filamentous out-growth...
October 21, 2016: Biodegradation
Bram Thijssen, Tjeerd M H Dijkstra, Tom Heskes, Lodewyk F A Wessels
BACKGROUND: Computational models in biology are characterized by a large degree of uncertainty. This uncertainty can be analyzed with Bayesian statistics, however, the sampling algorithms that are frequently used for calculating Bayesian statistical estimates are computationally demanding, and each algorithm has unique advantages and disadvantages. It is typically unclear, before starting an analysis, which algorithm will perform well on a given computational model. RESULTS: We present BCM, a toolkit for the Bayesian analysis of Computational Models using samplers...
October 21, 2016: BMC Systems Biology
Amal A Sultan, Sanaa A El-Gizawy, Mohamed A Osman, Gamal M El Maghraby
Mixed micelles provide promising strategy for enhancing dissolution and permeability of drugs. However, their fluid nature limited the stability of the loaded drug and hindered the development of stable oral dosage form. Accordingly, the objective was to develop solid self dispersing mixed micelle forming systems (MMFS) for enhanced dissolution and intestinal permeability of hydrochlorothiazide. Pseudoternary phase diagrams were constructed using sodium cholate, lecithin with either poloxamer 407 or PEG 4000 to determine the composition of MMFS...
October 13, 2016: Colloids and Surfaces. B, Biointerfaces
Xiaotong Cao, Jianquan Luo, John M Woodley, Yinhua Wan
Micro-pollutants present in water have many detrimental effects on the ecosystem. Membrane technology plays an important role in the removal of micro-pollutants but there remain significant challenges such as concentration polarization, membrane fouling and variable permeate quality. The work reported here uses a multifunctional membrane with rejection, adsorption and catalysis functions to solve these problems. Based on mussel-inspired chemistry and biological membrane properties, a multifunctional membrane was prepared by applying 'reverse filtration' of a laccase solution and subsequent 'dopamine coating' on a nanofiltration (NF) membrane support, which was tested on bisphenol A (BPA) removal...
October 21, 2016: ACS Applied Materials & Interfaces
Wei Lv, Asegun Henry
Thermal conductivity is important for almost all applications involving heat transfer. The theory and modeling of crystalline materials is in some sense a solved problem, where one can now calculate their thermal conductivity from first principles using expressions based on the phonon gas model (PGM). However, modeling of amorphous materials still has many open questions, because the PGM itself becomes questionable when one cannot rigorously define the phonon velocities. In this report, we used our recently developed Green-Kubo modal analysis (GKMA) method to study amorphous silicon dioxide (a-SiO2)...
October 21, 2016: Scientific Reports
Yasin Gocgun
We study radiation therapy scheduling problem where dynamically and stochastically arriving patients of different types are scheduled to future days. Unlike similar models in the literature, we consider cancellation of treatments. We formulate this dynamic multi-appointment patient scheduling problem as a Markov Decision Process (MDP). Since the MDP is intractable due to large state and action spaces, we employ a simulation-based approximate dynamic programming (ADP) approach to approximately solve our model...
October 20, 2016: Health Care Management Science
Erich Kummerfeld, Joseph Ramsey
Many scientific research programs aim to learn the causal structure of real world phenomena. This learning problem is made more difficult when the target of study cannot be directly observed. One strategy commonly used by social scientists is to create measurable "indicator" variables that covary with the latent variables of interest. Before leveraging the indicator variables to learn about the latent variables, however, one needs a measurement model of the causal relations between the indicators and their corresponding latents...
2016: KDD: Proceedings
A G Dimitrov
The membrane transporters (pumps and co-transporters) are the main players in maintaining the cell homeostasis. Models of various types, each with their own drawbacks, describe transporter behavior. The aim of this study is to find the link between the biophysically based and empirical models to face and solve their specific problems. Instead of decreasing the number of states and using few complex rate constants as is usually done, we use the number of states as great as possible. Then, each transition in the cycle can represent an elementary process and we can apply the mass action law, according to which if rate constants depend on concentrations the dependence is linear...
October 17, 2016: Journal of Theoretical Biology
J L Tao, Q G Dai, L L Lin, S C Wang
There have been 20 years of history in the study of allergic rhinitis(AR) using a mice model. At present, the AR mice model still exists some problems in the selection of mice strains, allergens and adjuvant types, molding cycle, allergen dose, model judgment, and so on, which affects the authenticity and comparability of the research results. By gradually solving the problems existing in the mice AR model, it is of great significance to realize the standardization of AR model, and the depth of the AR research...
October 7, 2016: Zhonghua Er Bi Yan Hou Tou Jing Wai Ke za Zhi, Chinese Journal of Otorhinolaryngology Head and Neck Surgery
Q H Chen, X K Yang, D H Hu
Patients with severe burn are characterized by strong oxidative stress and intense inflammatory response, which will cause metabolic disorder. Therefore, nutrition therapy is very important for severe burn. Nutrition therapy includes enteral nutrition (EN) and parenteral nutrition, and EN has the unique advantages. In recent years, more and more researchers focused on the EN for severe burn injuries, but there were still some confusing problems needing to solve. This article reviews the recent research about nutrition therapy for severe burn, including the route of feeding, energy requirements, and supplements of protein, carbohydrates, and microelements, and so on, so as to clarify some confusing questions about nutrition therapy for severe burn in clinical practice...
October 20, 2016: Zhonghua Shao Shang za Zhi, Zhonghua Shaoshang Zazhi, Chinese Journal of Burns
Shashanka Ubaru, Abd-Krim Seghouane, Yousef Saad
This letter considers the problem of dictionary learning for sparse signal representation whose atoms have low mutual coherence. To learn such dictionaries, at each step, we first updated the dictionary using the method of optimal directions (MOD) and then applied a dictionary rank shrinkage step to decrease its mutual coherence. In the rank shrinkage step, we first compute a rank 1 decomposition of the column-normalized least squares estimate of the dictionary obtained from the MOD step. We then shrink the rank of this learned dictionary by transforming the problem of reducing the rank to a nonnegative garrotte estimation problem and solving it using a path-wise coordinate descent approach...
October 20, 2016: Neural Computation
Isabell B Purdy, Mary Alice Melwak, Joan R Smith, Carole Kenner, Rebecca Chuffo-Siewert, Donna J Ryan, Sue Hall
BACKGROUND: The neonatal intensive care unit (NICU) can be a stressful environment for infants, their families, and the healthcare team. There is an immediate need for neonatal nurses to embrace and translate the new National Perinatal Association recommendations for psychosocial support of NICU parents into clinical practice to demonstrate best practices for infants, their families, and the whole team. PURPOSE: To summarize the current evidence-based practice recommendations and to provide suggestions for team members to develop strategies to adopt and implement them through quality improvement (QI) projects...
October 19, 2016: Advances in Neonatal Care: Official Journal of the National Association of Neonatal Nurses
Zhibin Wang, Xiao-Guang Luo, Chao Gao
In the clinic, the diagnosis of Parkinson's disease (PD) largely depends on clinicians' experience. When the diagnosis is made, approximately 80% of dopaminergic cells in the substantia nigra (SN) have been lost. Additionally, it is rather challenging to differentiate PD from atypical parkinsonian disorders (APD). Clinially-available 3T conventional MRI contributes little to solve these problems. The pathologic alterations of parkinsonism show abnormal brain iron deposition, and therefore susceptibility-weighted imaging (SWI), which is sensitive to iron concentration, has been applied to find iron-related lesions for the diagnosis and differentiation of PD in recent decades...
2016: Translational Neurodegeneration
Youfang Cao, Anna Terebus, Jie Liang
The discrete chemical master equation (dCME) provides a fundamental framework for studying stochasticity in mesoscopic networks. Because of the multi-scale nature of many networks where reaction rates have large disparity, directly solving dCMEs is intractable due to the exploding size of the state space. It is important to truncate the state space effectively with quantified errors, so accurate solutions can be computed. It is also important to know if all major probabilistic peaks have been computed. Here we introduce the Accurate CME (ACME) algorithm for obtaining direct solutions to dCMEs...
2016: Multiscale Modeling & Simulation: a SIAM Interdisciplinary Journal
S Rosenkranz, I M Lang, R Blindt, D Bonderman, L Bruch, G P Diller, R Felgendreher, C Gerges, W Hohenforst-Schmidt, S Holt, C Jung, I Kindermann, T Kramer, W M Kübler, V Mitrovic, A Riedel, A Rieth, A Schmeisser, R Wachter, J Weil, C Opitz
The 2015 European Guidelines on Diagnosis and Treatment of Pulmonary Hypertension are also valid for Germany. While the guidelines contain detailed recommendations regarding pulmonary arterial hypertension (PAH), they contain only a relatively short paragraph on other, much more common forms of PH such as PH due to left heart disease. Despite the lack of data, targeted PAH treatments are increasingly being used for PH associated with left heart disease. This development is of concern because of limited ressources and the need to base treatments on scientific evidence...
October 2016: Deutsche Medizinische Wochenschrift
Yan Zhou, Liya Fu, Jun Zhang, Yongchang Hui
To analyze the reliability of a complex system described by minimal paths, an empirical likelihood method is proposed to solve the reliability test problem when the subsystem distributions are unknown. Furthermore, we provide a reliability test statistic of the complex system and extract the limit distribution of the test statistic. Therefore, we can obtain the confidence interval for reliability and make statistical inferences. The simulation studies also demonstrate the theorem results.
2016: PloS One
Andreas Vetter, Simone Ferrari, Patrik Rath, Rasoul Alaee, Oliver Kahl, Vadim Kovalyuk, Silvia Diewald, Gregory N Goltsman, Alexander Korneev, Carsten Rockstuhl, Wolfram Hp Pernice
Ultrafast single-photon detectors with high efficiency are of utmost importance for many applications in the context of integrated quantum photonic circuits. Detectors based on superconductor nanowires attached to optical waveguides are particularly appealing for this purpose. However, their speed is limited because the required high absorption efficiency necessitates long nanowires deposited on top of the waveguide. This enhances the kinetic inductance and makes the detectors slow. Here, we solve this problem by aligning the nanowire, contrary to usual choice, perpendicular to the waveguide to realize devices with a length below 1 µm...
October 19, 2016: Nano Letters
Yael Fried, David A Kessler, Nadav M Shnerb
High-diversity species assemblages are very common in nature, and yet the factors allowing for the maintenance of biodiversity remain obscure. The competitive exclusion principle and May's complexity-diversity puzzle both suggest that a community can support only a small number of species, turning the spotlight on the dynamics of local patches or islands, where stable and uninvadable (SU) subsets of species play a crucial role. Here we map the question of the number of different possible SUs a community can support to the geometric problem of finding maximal cliques of the corresponding graph...
October 19, 2016: Scientific Reports
Gerald J Haeffel, Sascha Hein, Amanda Square, Donna Macomber, Maria Lee, John Chapman, Elena L Grigorenko
This study reports findings from the administration of a social problem-solving training (SPST) intervention to juvenile detainees in the Connecticut Youth Detainee Program. SPST is a cognitive behavioral intervention that teaches children and youth how to more effectively cope with interpersonal stress and conflict. In the current study, we tested whether SPST could decrease depressive symptoms in a sample of detained adolescent offenders. The study used a randomized-control design with detention staff administering the intervention...
October 19, 2016: Development and Psychopathology
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