bluuebunny/crossref_metadata_2025_split huggingface dataset:
A T1 theorem and Calderón–Zygmund operators in Campanato spaces on domains
Authors: Vasin Andrei V. 
Published: January 2019

AbstractGiven a Lipschitz domain , a Calderón–Zygmund operator T and a modulus of continuity , we solve the problem when the truncated operator sends the Campanato space into itself. The solution is a T1 type sufficient and necessary condition for the characteristic function of D:
urn:x-wiley:0025584X:media:mana201700488:mana201700488-math-0006To check the hypotheses of T1 theorem we need extra restrictions on both the boundary of D and the operator T. It is proved that the truncated Calderón–Zygmund operator with an even kernel is bounded on , provided D is a ‐smooth domain.
Prediction of skin dose in low‐kV intraoperative radiotherapy using machine learning models trained on results of in vivo dosimetry
Authors: Avanzo Michele , Pirrone Giovanni , Mileto Mario , Massarut Samuele , Stancanello Joseph , Baradaran‐Ghahfarokhi Milad , Rink Alexandra , Barresi Loredana , Vinante Lorenzo , Piccoli Erica , Trovo Marco , El Naqa Issam , Sartor Giovanna 
Published: January 2019

PurposeThe purpose of this study was to implement a machine learning model to predict skin dose from targeted intraoperative (TARGIT) treatment resulting in timely adoption of strategies to limit excessive skin dose.MethodsA total of 283 patients affected by invasive breast carcinoma underwent TARGIT with a prescribed dose of 6 Gy at 1 cm, after lumpectomy. Radiochromic films were used to measure the dose to the skin for each patient. Univariate statistical analysis was performed to identify correlation of physical and patient variables with measured dose. After feature selection of predictors of in vivo skin dose, machine learning models stepwise linear regression (SLR), support vector regression (SVR), ensemble with bagging or boosting, and feed forward neural networks were trained on results of in vivo dosimetry to derive models to predict skin dose. Models were evaluated by tenfold cross validation and ranked according to root mean square error (RMSE) and adjusted correlation coefficient of true vs predicted values (adj‐R2).ResultsThe predictors correlated with in vivo dosimetry were the distance of skin from source, depth‐dose in water at depth of the applicator in the breast, use of a replacement source, and irradiation time. The best performing model was SVR, which scored RMSE and adj‐R2, equal to 0.746 [95% confidence intervals (CI), 95% CI 0.737,0.756] and 0.481 (95% CI 0.468,0.494), respectively, on the tenfold cross validation.ConclusionThe model trained on results of in vivo dosimetry can be used to predict skin dose during setup of patient for TARGIT and this allows for timely adoption of strategies to prevent of excessive skin dose.
Ecdysone inducible gene E75 from black tiger shrimp Penaeus monodon: Characterization and elucidation of its role in molting
Authors: Zhou Kaimin , Zhou Falin , Jiang Song , Huang Jianhua , Yang Qibin , Yang Lishi , Jiang Shigui 
Published: January 2019

AbstractMolting is controlled by ecdysteroids, which are synthesized and secreted by the Y‐organ in crustaceans. Ecdysone inducible gene, E75, is an early‐response gene in the 20‐hydroxyecdysone (20E) signaling pathway, with crucial roles in arthropod development. Complementary DNA (cDNA) encoding Penaeus monodon E75 (PmE75) was cloned using RT‐PCR and RACE. PmE75 cDNA was 3526 bp long and encoded a 799‐amino acid protein. Tissue distribution analysis showed that PmE75 was expressed ubiquitously in selected tissues, and was relatively abundant in the epidermis, muscle, and hepatopancreas. Developmental expression revealed that PmE75 was expressed throughout its life cycle. Silencing PmE75 significantly decreased PmE75 expression. Shrimps injected with PBS and dsGFP started molting on Day 7 and had almost completed molting on Day 9, whereas dsPmE75‐injected shrimp presented no signs of molting. These results suggested that PmE75 might be involved in molting. In situ hybridization results support this hypothesis. To explore the role of 20E and eyestalks in the regulation of molting in P. monodon, exogenous 20E injection and eyestalk ablation (ESA) were performed, and showed that 20E can induce the transcription and expression of PmE75 in the hepatopancreas, epidermis, and muscle, which were signiﬁcantly elevated after ESA. These results provide further insights into our understanding of molting.
Muscle function and age are associated with loss of bone mineral density in Duchenne muscular dystrophy
Authors: Del Rocío Cruz‐Guzmán Oriana , Rodríguez‐Cruz Maricela , Almeida‐Becerril Tomas , Maldonado‐Hernández Jorge , Baeza Carlos Wong 
Published: January 2019

ABSTRACTIntroduction: Patients with Duchenne muscular dystrophy (DMD) demonstrate decreased bone mineral density (BD). It is not clear which factors exert the greatest impact on BD loss in these patients.Methods: In 63 patients with DMD, serum cytokines (interleukin [IL]‐1, IL‐6, and tumor necrosis factor‐beta [TNF‐β]), C‐reactive protein (CRP), creatine kinase (CK), muscle function (by Vignos scale), body composition, and total BD (the latter 2 measured by dual‐energy X‐ray absorptiometry, or DEXA) were determined.Results: The main factors associated with BD loss were muscle function (34.0%; β = −0.139;P< 0.023) and age (36.7%; β = −0.151;P =0.004). Cytokines, CRP, body fat mass, and CK did not contribute to BD loss.Discussion: Muscle function and age contribute to BD loss in DMD. We propose that a cut‐off of at least 6 points for the Vignos scale and at least 10.5 years of age predict aZ‐score of less than or equal to −2.0.Muscle Nerve59:417–421, 2019
Hydroacoustic Data-Analysis Recommendations to Quantify Prey-Fish Abundance in Shallow, Target-Rich Ecosystems
Authors: Dillon Rebecca A. , Conroy Joseph D. , Ludsin Stuart A. 
Published: January 2019

Abstract
Standardized sampling methods can benefit fisheries management by facilitating a comparison of fish abundance estimates within and among ecosystems. Towards developing an improved standardized hydroacoustic method for estimating prey-fish abundance and target strength in small (surface areas &lt;15 km2), shallow (maximum depths &lt;20 m), freshwater ecosystems (e.g., north-temperate reservoirs), we evaluated how the incorporation of several recommended hydroacoustic data-analysis procedures from the Great Lakes Standard Operating Procedures (GLSOP) into an existing hydroacoustic protocol used in north-temperate reservoirs influenced estimates of prey-fish abundance. To facilitate our evaluation, we conducted hydroacoustic surveys in four Ohio reservoirs during August 2016 and then compared prey-fish abundance estimates generated from the existing Ohio Department of Natural Resources, Division of Wildlife reservoir protocol with those that included three GLSOP recommendations separately and in combination. The three recommendations were (1) removal of background noise, (2) use of a lower maximum beam compensation (MBC) setting, and (3) application of the Sawada index (Nv) to identify and replace biased, in situ, cell-specific target strengths. Our analyses showed that the removal of background noise (−0.1% to 0% change) and application of Nv (−7.8% to 0% change) had little substantive effect. However, decreasing the MBC from 12 to 6 dB significantly reduced prey-fish abundance estimates (4.1% to 16.1% decrease). When we simultaneously applied all three GLSOP recommendations, estimated prey-fish abundance consistently decreased (−8.8 to −16.0%) across reservoirs. Collectively, our findings suggest the need for incorporation of several GLSOP data-analysis procedures into protocols developed for shallow, target-rich ecosystems, such as Ohio reservoirs. By doing so, more precise estimates of fish abundance can be generated to the benefit of fisheries management.
An approach for provisioning virtual sensors in sensor clouds
Authors: Lemos Marcus , Rabelo Ricardo , Mendes Douglas , Carvalho Carlos , Holanda Raimir 
Published: January 2019

SummaryIn sensor clouds environments, the provisioning process is a crucial task since it is responsible for selecting physical sensors that will be used to create virtual sensors. However, most works consider the allocation of all sensors within the region of interest, causing serious problems such as the wasting of energy consumption. The objective of this paper is to present ACxSIM, an automatic approach to the provisioning of virtual sensors. ACxSIM includes two algorithms: adaptive clustering algorithm based on similarity (ACASIM) and ant colony optimization for sensor selection based on similarity (ACOSIM). ACASIM first clusters the sensor nodes based on the similarity of its measurements (exploiting the temporal and spatial correlations between them), which may create clusters with nodes not physically close to each other. Therefore, in ACASIM, a cluster represents different geographical areas whose nodes have correlated measurements (according to a defined error threshold). Later, ACOSIM, based on ant colony optimization algorithm, creates virtual sensors by selecting only a subset of nodes from each cluster. In this way, the overall energy consumption of sensor nodes is reduced, prolonging the lifetime of the sensor cloud. Results from experiments in Intel Lab dataset show that the ACxSIM reduces energy consumption by 73.97%, providing a solution to be considered in sensor cloud scenarios.
An improved multiscale finite element method for nonlinear bending analysis of stiffened composite structures
Authors: Ren Mingfa , Cong Jie , Wang Lei , Wang Bo 
Published: January 2019

SummaryStiffened composite structures are commonly composed of skins and stiffeners that are employed to transfer and carry load, respectively. An improved multiscale finite element method is presented for geometrically nonlinear bending analysis of composite grid stiffened laminates. In the developed method, two kinds of strategies for establishing stiffened multiscale models are presented, in which the stiffeners are modeled at different scale. By introducing a virtual degree of freedom and additional coupling terms, multiscale base functions are improved to consider the local effects of stiffeners and coupling effects of composites. To construct the multiscale base functions of stiffened multiscale models, an extended displacement boundary conditions are constructed, in which the displacements of stiffeners are imposed constraints based on the displacement continuous conditions between skin and stiffener. Incremental multiscale finite element formulations are derived based on Total‐Lagrange description and von Karman's large deflection plate theory. The incremental displacement boundary conditions are constructed to consider the effect of microscopic unbalanced force on microscopic results. Numerical examples show high efficiency and applicability of the developed method for composite grid stiffened laminates.
Reproducibility of fetal lung‐to‐head ratio in left diaphragmatic hernia across the North American Fetal Therapy Network (NAFTNet)
Authors: Abbasi Nimrah , Ryan Greg , Johnson Anthony , Sanz Cortes Magda , Sangi‐Haghpeykar Haleh , Ye Xiang Y. , Shah Prakesh S. , Benachi Alexandra , Saada Julien , Ruano Rodrigo ,   on behalf of the NAFTNet*
Published: January 2019

AbstractObjectiveTo determine the antenatal sonographic lung area measurement method in left congenital diaphragmatic hernia (CDH) with the highest interrater agreement among North American Fetal Therapy Network (NAFTNet) centers within and outside the fetoscopic tracheal occlusion (FETO) consortium and in comparison with a European “expert” reviewer (ER).MethodsNineteen members from nine FETO consortium centers and 29 reviewers from 17 non‐FETO centers reviewed ultrasound clips of the chest from 13 fetuses with isolated left CDH and were asked to select a static plane for lung area measurement using anteroposterior (AP), longest, and trace methods. Interrater agreement in lung area measurements was determined using intraclass correlation coefficient (ICC). Bland‐Altman analysis was used to evaluate mean difference (bias) between NAFTNet reviewers and ER.ResultsAmong FETO centers, agreement was highest using trace (ICC 0.94; 95% CI, 0.83‐0.98), followed by longest (ICC 0.89; 95% CI, 0.75‐0.97) and lowest for A‐P (ICC 0.83; 95% CI, 0.67‐0.94). Similar trends were noted in non‐FETO centers. When compared with ER, bias was lowest for trace: 14 ± 38 mm2 and 19 ± 36 mm2 for FETO and non‐FETO centers, respectively.ConclusionThe trace method demonstrated the highest interrater agreement and lowest bias for lung area estimation in left CDH across NAFTNet.
Platelet‐specific antibodies and differences in their expression in childhood immune thrombocytopenic purpura predicts clinical progression
Authors: Fu Lingling , Ma Jie , Cheng Zhengping , Gu Hao , Ma Jingyao , Wu Runhui 
Published: January 2019

ABSTRACTImportanceImmune thrombocytopenic purpura (ITP) is the most common bleeding disorder in children. Despite the highly spontaneously remission, still almost 20% of cases progress into chronic or refractory ITP, which seriously affects children's quality of life. Currently there is no method to predict the initial stage of childhood ITP.ObjectivesTo evaluate platelet‐specific antibodies and compare differences in their expression in childhood ITP to predict clinical progression.MethodsThis is a single‐center prospective cohort study from April 2014 to October 2015. We enrolled children initially diagnosed as ITP. Anti‐GPIIb/IIIa and GPIb/IX antibodies were assayed by enzyme‐linked immunoadsorbent assay (ELISA) and patients were followed up for 1 year. We also analyzed the relationship between the expression of the platelet‐specific antibodies GPIIb/IIIa and GPIb/IX and their respective clinical prognoses.ResultsOverall, 134 cases were enrolled including 77 boys and 57 girls with a median age of 19 months (range: 1 to 159). Positive rates of anti‐platelet antibodies were 79.8%. After a 1‐year observation period, 84.3% were diagnosed as newly diagnosed ITP and 13.4% were diagnosed as chronic ITP. Patients with anti‐GPIIb/IIIa antibody had a higher risk for newly diagnosed ITP compared with patients who were anti‐GPIb/IX antibody positive only (93% vs 25%, P = 0.005; 87% vs 25%, P = 0.014, respectively). There were more anti‐GPIb/IX antibody positive only cases, diagnosed as chronic ITP, compared with anti‐GPIIb/IIIa antibody positive only cases and double GPIIb/IIIa and GPIb/IX antibody positive cases (75% vs 7%, P = 0.005; 75% vs 13%, P = 0.014, respectively). InterpretationInterpretationPatients with anti‐GPIIb/IIIa antibody (either single or double) were predicted to have a good prognosis, whereas anti‐GPIb/ IX antibody only predicted a poor prognosis. These results should be confirmed via a larger cohort multicenter study.
Biocontrol of phytobacteria with bacteriophage cocktails
Authors: Kering Kelvin K , Kibii Belindah J , Wei Hongping 
Published: January 2019

AbstractCrop loss due to plant pathogens has provoked renewed interest in bacteriophages as a feasible biocontrol strategy of plant diseases. Phage cocktails in particular present a viable option for broadening the phage host range, limiting the emergence of bacterial resistance while maintaining the lytic activity of the phages. It is therefore important that the design used to formulate a phage cocktail should result in the most effective cocktail against the pathogen. It is also critical that certain factors are considered during the formulation and application of a phage cocktail: their stability, the production time and cost of complex cocktails, the potential impact on untargeted bacteria, the timing of phage application, and the persistence in the plant environment. Continuous monitoring is required to ensure that the efficacy of a cocktail is sustained due to the dynamic nature of phages. Although phage cocktails are considered as a plausible biocontrol strategy of phytobacteria, more research needs to be done to understand the complex interaction between phages and bacteria in the plant environment, and to overcome the technical obstacles. © 2019 Society of Chemical Industry
Dieter Cremer's contribution to the field of theoretical chemistry
Authors: Kraka Elfi , Cremer Dieter 
Published: January 2019

AbstractThis legacy article reviews the contributions of Dieter Cremer (1944‐2017) to the field of theoretical chemistry, highlighting his major accomplishments in method development and applied quantum chemistry, which has led to many advances in the field. His work reflects an extraordinary breadth and deep understanding of theory, which is needed to solve complex chemical problems. His passion for science has inspired many colleagues in the past and will do so in the future.
Perfluorocarbon Labeling of Human Glial-Restricted Progenitors for 19F Magnetic Resonance Imaging
Authors: Richard Jean-Philippe , Hussain Uzma , Gross Sarah , Taga Arens , Kouser Mehreen , Almad Akshata , Campanelli James T. , Bulte Jeff W.M. , Maragakis Nicholas J. 
Published: January 2019

Abstract
One of the fundamental limitations in assessing potential efficacy in Central Nervous System (CNS) transplantation of stem cells is the capacity for monitoring cell survival and migration noninvasively and longitudinally. Human glial-restricted progenitor (hGRP) cells (Q-Cells) have been investigated for their utility in providing neuroprotection following transplantation into models of amyotrophic lateral sclerosis (ALS) and have been granted a Food and Drug Administration (FDA) Investigational New Drug (IND) for intraspinal transplantation in ALS patients. Furthermore, clinical development of these cells for therapeutic use will rely on the ability to track the cells using noninvasive imaging methodologies as well as the verification that the transplanted GRPs have disease-relevant activity. As a first step in development, we investigated the use of a perfluorocarbon (PFC) dual-modal (19F magnetic resonance imaging [MRI] and fluorescence) tracer agent to label Q-Cells in culture and following spinal cord transplantation. PFCs have a number of potential benefits that make them appealing for clinical use. They are quantitative, noninvasive, biologically inert, and highly specific. In this study, we developed optimized PFC labeling protocols for Q-Cells and demonstrate that PFCs do not significantly alter the glial identity of Q-Cells. We also show that PFCs do not interfere with the capacity for differentiation into astrocytes either in vitro or following transplantation into the ventral horn of the mouse spinal cord, and can be visualized in vivo by hot spot 19F MRI. These studies provide a foundation for further preclinical development of PFCs within the context of evaluating Q-Cell transplantation in the brain and spinal cord of future ALS patients using 19F MRI. Stem Cells Translational Medicine 2019;8:355–365
Synthesis of Inorganic–Organic 2D CdSe Slab‐Diamine Quantum Nets
Authors: Choo Seungjun , Ban Hyeong Woo , Gu Da Hwi , Jeong Hyewon , Jo Seungki , Baek Seongheon , Jo Wook , Son Jae Sung 
Published: January 2019

AbstractPorous semiconductors attract great interest due to their unique structural characteristics of high surface area as well as their intrinsic optical and electronic properties. In this study, synthesis of inorganic–organic 2D CdSe slabs‐diaminooctane (DAO) porous quantum net structures is demonstrated. It is found that the hybrid 2D CdSe‐DAO lamellar structures are disintegrated into porous net structures, maintaining an ultrathin thickness of ≈1 nm in CdSe slabs. Furthermore, the CdSe slabs in quantum nets show the highly shifted excitonic transition in the absorption spectrum, demonstrating their strongly confined electronic structures. The possible formation mechanism of this porous structure is investigated with the control experiments of the synthesis using n‐alkyldiamines with various hydrocarbon chain lengths and ligand exchange of DAO with oleylamine. It is suggested that a strong van der Waals interaction among long chain DAO may exert strong tensile stress on the CdSe slabs, eventually disintegrating slabs. The thermal decomposition of CdSe‐DAO quantum nets is further studied to form well‐defined CdSe nanorods. It is believed that the current CdSe‐DAO quantum nets will offer a new type of porous semiconductors nanostructures under a strong quantum‐confinement regime, which can be applied to various technological areas of catalysts, electronics, and optoelectronics.
A measurement framework for software product maturity assessment
Authors: Abdellatif Ahmad , Alshayeb Mohammad , Zahran Sami , Niazi Mahmood 
Published: January 2019

AbstractThe need to ensure the quality of software is growing in importance on a daily basis due to the growing role of software in critical products and application areas, such as defense, aerospace, aviation, and medicine. To meet this need, many organizations use the Capability Maturity Model Integration process model to assess and improve software development processes. This paper proposes a framework for measuring software product maturity as an indicator of product quality. The proposed framework consists of two parts: a reference model and an assessment method. The reference model provides a platform for gathering product quality indicators as evidence of product capability, which reflects the product's maturity. The quality indicators are then used to assess the product maturity level. The assessment method utilizes standard steps for assessing product maturity that are reflected in the degree of the product's conformance with the relevant quality attributes defined and agreed upon by the product's stakeholders. The proposed framework enables measuring the quality of the product from the developers' and the users' perspective. The proposed maturity model and the assessment method can help software organizations and software clients ensure that software products meet the appropriate quality levels.