bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Effect of Disposable Infection Control Sleeves on the Total Energy Delivered by Dental LCUs
Authors: Brokos Ioannis , Turner Steve , Santini Ario 
Published: August 2013

Aim This study compared the effect of seven different disposable cross-infection control sleeves on the total energy delivered (J/cm2) by four different dental light-curing units (LCUs). Methods Four LCUs and seven disposable sleeves (six proprietary brands and a general-purpose cellophane wrap) were used. Anterior and posterior tooth position was included as a third factor. Total energy delivered was measured for each LCU without a sleeve (control) and with each sleeve and for each tooth position. Curing time was 10 seconds, as recommended by the LCU manufacturers. Measurements were taken 10 times for each sleeve/LCU/tooth position and means (SD)calculated. Data were analysed using three-way analysis of variance (ANOVA). The null hypothesis was that none of the sleeves would, at a 0.1% level, significantly affect the total energy delivered. Results All sleeves significantly reduced the total energy delivered ( P<0.001). Cellophane wrap (cling film) had the smallest effect on total energy. Total energy delivered was most strongly influenced by tooth position and LCU model. Conclusions Sleeves significantly reduce the total energy delivered compared to unsleeved LCUs, but to a degree that may not be clinically important. Cling film reduced total energy delivered to a significantly lesser extent than did proprietary bands of sleeve. In order to determine adequacy of delivered total energy, sleeved LCUs should be tested prior to clinical use.
Clinical Recordkeeping for Monitoring Treatment Outcomes in Implant Dentistry: A Case Study
Authors: Sethi Ashok , Kaus Thomas , Sharma Naresh 
Published: August 2013

Sound clinical practice in implant dentistry depends upon defining the methodology that can successfully be used. This can be achieved by identifying literature relating to a specific technique prior to its use. However, clinical observations of outcomes within one's own practice are also very effective. This is particularly true as it becomes specific, by eliminating numerous confounding factors. Appropriate documentation, both clinical and radiographic, permits the practitioner to review clinical cases and establish the efficacy of the methodology used. This is most effective in terms of evaluating survival as well as determining aesthetic and functional outcomes. Software programs such as ImpDAT (Kea Software, Poecking, Germany) provide a platform that easily allows both accurate record-keeping and, importantly, retrieval of data for purposes of review and publication. This paper presents a case report that uses radiographic and photographic records to monitor the ongoing response of the patient to the specific treatment that was carried out; in this case, autogenous onlay bone grafts for the management of congenital partial anodontia.
An Insight into Peri-Implantitis: A Systematic Literature Review
Authors: Wilson Victoria 
Published: August 2013

Aim This systematic literature review was performed to establish a definition of peri-implantitis, what makes a patient more susceptible to peri-implantitis, the signs and symptoms of peri-implantitis (including radiographic findings), treatment options for peri-implantitis, and to investigate what constitutes a suitable oral hygiene regime. Method A systematic literature review and analysis of publications included in PubMed (articles published between 1998 and 2003; English language; search terms “peri-implantitis”; “mucositis”; “partially edentulous”; “preventative maintenance”; “peri-implantitis and plaque control”; “tissue augmentation”; “diet maintenance of peri-implantitis”; “oral hygiene instruction for implants”) was performed to identify papers providing information about peri-implantitis. Separately sourced publications with peri-implantitis related titles and abstracts were reviewed and analysed. The set criteria for inclusion were peer-reviewed articles. Of 53 papers identified, 23 were included for systematic review. Results Analysis of the papers revealed that patients with implants are more susceptible to developing peri-implantitis than are patients with natural teeth to developing periodontal disease. This is due to the varied peri-implant tissue that surrounds the implant in comparison with the tissue that surrounds a natural tooth. If active periodontal disease is present, peri-implantitis may also develop; however, other secondary factors may also need to be present for this to occur. Conclusion A comprehensive periodontal examination should be carried out prior to implant surgery. The patient should be informed of the necessity of regular maintenance following implant surgery and the prerequisite of maintaining a comprehensive oral hygiene regime to avoid peri-implantitis.
Medicolegal Implications of Dental Implant Therapy
Authors: Rees Jonathan 
Published: August 2013

Despite the recent economic downturn, the dental implant market continues to grow year on year. Many more dentists are involved in the placement restoration of dental implants and dental implants are being placed in an extended range of clinical scenarios. Dental implant therapy remains a high risk area for the inexperienced in terms of civil negligence claims and General Dental Council hearings. Risk can be mitigated by: • Ensuring appropriate indemnity • Complying with the published requirements for training • Maintaining detailed and extensive clinical records • Completing the initial phases of history, examination and investigations robustly • Recording a diagnosis • Providing a bespoke written treatment plan that includes details of the need for treatment, the treatment options (the risks and benefits), the phases of treatment, the costs of treatment, the expected normal sequelae of surgery, the risks and complications of implant therapy and the requirement for future maintenance. The provision of treatment that is different in nature or extent to that agreed can result in a breach of contract as well as a claim for negligence • Engaging sufficiently with the patient to obtain consent • Providing written postoperative instructions detailing emergency arrangements, patients who are anxious or in pain may not retain oral information • Making a frank disclosure of complication or collateral damage • Considering referral at an early stage particularly if reparative surgery is required The stress of complications or failure may impair a dentist's normally sound judgement; there may be financial pressure, or concerns regarding reputation. In some cases, dentists avoid making a frank disclosure, feel obliged to undertake complicated reparative surgery, fail to make a timely referral, fail to respond appropriately to patient's concerns and in some cases attempt to alter the clinical records. However, in the best of hands and without negligence complications can and do occur. Complications that occur in the presence of good planning and communication and are managed appropriately do not amount to negligence, and are unlikely to lead to a successful claim.
The anti-catabolic role of bovine lactoferricin in cartilage
Authors: Ahmadinia Kasra , Yan Dongyao , Ellman Michael , Im Hee-Jeong 
Published: August 2013

AbstractBovine lactoferricin (LfcinB) is a multifunctional peptide derived from bovine lactoferrin that demonstrates antibacterial, antifungal, antiviral, antitumor, and immunomodulatory activities. Recently, studies have focused on the anti-catabolic and anti-inflammatory potential of LfcinB. LfcinB is able to modulate the effects cytokines such as IL-1 and fibroblast growth factor 2 as well as promote specific cartilage anabolic factors. These properties are particularly important in maintaining cartilage homeostasis and preventing a catabolic state, which leads to clinical pathology. This review focuses on the recent literature elucidating the role of LfcinB in preventing cartilage degradation.
Structural comparison of the transport units of type V secretion systems
Authors: Gawarzewski Iris , Smits Sander H.J. , Schmitt Lutz , Jose Joachim 
Published: August 2013

Abstract
Pathogenic gram-negative bacteria have evolved several secretion mechanisms to translocate adhesins, enzymes, toxins, and other virulence factors across the inner and outer membranes. Currently, eight different secretion systems, type I–type VIII (T1SS–T8SS) plus the chaperone-usher (CU) pathway, have been identified, which act in one-step or two-step mechanisms to traverse both membrane barriers. The type V secretion system (T5SS) is dependent first on the Sec translocon within the inner membrane. The periplasmic intermediates are then secreted through aqueous pores formed by β-barrels in the outer membrane. Until now, transport across the outer membrane has not been understood on a molecular level. With respect to special characteristics revealed by crystal structure analysis, bioinformatic and biochemical data, five subgroups of T5SS were defined. Here, we compare the transport moieties of members of four subgroups based on X-ray crystal structures. For the fifth subgroup, which was identified only recently, no structures have thus far been reported. We also discuss different models for the translocation process across the outer membrane with respect to recent findings.
Anti-islanding Protection of Distributed Generation Using Rate of Change of Impedance
Authors: Shah Pragnesh , Bhalja Bhavesh 
Published: August 2013

Abstract
Distributed Generation (DG), which is interlinked with distribution system, has inevitable effect on distribution system. Integrating DG with the utility network demands an anti-islanding scheme to protect the system. Failure to trip islanded generators can lead to problems such as threats to personnel safety, out-of-phase reclosing, and degradation of power quality. In this article, a new method for anti-islanding protection based on impedance monitoring of distribution network is carried out in presence of DG. The impedance measured between two phases is used to derive the rate of change of impedance (dz/dt), and its peak values are used for final trip decision. Test data are generated using PSCAD/EMTDC software package and the performance of the proposed method is evaluated in MatLab software. The simulation results show the effectiveness of the proposed scheme as it is capable to detect islanding condition accurately. Subsequently, it is also observed that the proposed scheme does not mal-operate during other disturbances such as short circuit and switching event.
Impact of V2G on Distribution Feeder: A Power Loss Reduction Approach
Authors: Chukwu Uwakwe C. , Mahajan Satish M. 
Published: August 2013

Abstract
The penetration of Vehicle-to-Grid (V2G) into the electrical distribution system has potential to create room for many operational benefits. A V2G facility installed on a distribution feeder line segment may affect power loss in the distribution system. Mathematical models are developed to study how magnitude of V2G reactive power injection and different mixes of uniformly distributed loads and lumped loads can impact power loss on a distribution system feeder. The V2G facilities assumed in this research are V2G parking lots with provision for injecting reactive currents into the feeder of a distribution network. It is shown that loss reduction can be greatly influenced by the pattern of loading, the amount of V2G reactive injection as well as position and number of V2G parking lot along the feeder segment. Useful results are obtained, with a promise that more than 95% power loss reduction (relative to power loss in the system without V2G installed) is possible by optimally locating a V2G parking lot along the feeder. It is observed that location and capacity injection of a V2G facility are the most critical for loss reduction. It was concluded that proper system planning and operational practice are required in order to reduce power losses.
The importance of repeated measurements of the sFlt-1/PlGF ratio for the prediction of preeclampsia and intrauterine growth restriction
Authors: Schoofs Katharina , Grittner Ulrike , Engels Theresa , Pape Juliane , Denk Barbara , Henrich Wolfgang , Verlohren Stefan 
Published: August 2013

Abstract

Aims: The sFlt-1/PlGF ratio has been evaluated as a diagnostic marker for preeclampsia (PE). The aim of this study was to explore the use of the sFlt-1/PlGF ratio as an aid in prediction for PE.

Methods: 150 patients with a high risk for PE were enrolled in this prospective study. Groups were compared according to the pregnancy outcome: controls (n=114), intrauterine growth restriction (IUGR) (n=14) and PE (n=22) with subclassification early PE<34 weeks (n=6). Measurements of sFlt-1 and PlGF were performed on the automated Elecsys system. Statistical comparison of the sFlt-1/PlGF ratio in different outcome groups and a mixed model analysis using random intercept models were performed.

Results: The sFlt-1/PlGF ratio was significantly higher in pregnancies complicated by PE up to 4 weeks before clinical diagnosis compared to controls (106.7±47.7 vs. 21.0±4.1; P=0.02). Levels of the sFlt-1/PlGF ratio were higher throughout pregnancy in women with IUGR compared to PE/control patients (intercept 1.57 vs. 1.30/0.67; P<0.05). The slope for the sFlt-1/PlGF ratio was significantly higher in PE and IUGR pregnancies compared to controls, indicating that a steep increase of the sFlt-1/PlGF ratio correlates with pathologic pregnancy outcomes.

Conclusion: The sFlt-1/PlGF ratio can identify pathologic pregnancy outcomes such as IUGR and PE before clinical diagnosis. Repeated measurements are necessary to assess the dynamics in serum values. The time-dependent slope of the sFlt-1/PlGF ratio is predictive for future pregnancy outcome and risk of developing preeclampsia.
Nonlinear dynamic behavior of a long temperature-dependent FGM hollow cylinder subjected to thermal shocking
Authors: Dai Hong-Liang , Rao Yan-Ni 
Published: August 2013

AbstractIn this paper, the nonlinear dynamic behavior of a long hollow cylinder consisting of temperature-dependent functionally graded material (FGM) subjected to thermal shocking is investigated. Material parameters of the FGM hollow cylinder, except the Poisson’s ratio, are assumed to be graded continuously through the thickness according to the power law expressions, and they are assumed to be temperature dependent. The governing equation of the motion of the FGM hollow cylinder is obtained based on the plane-stain theory and together with the governing equation of the transient heat transfer problem is solved by the finite difference method, Newmark method, and iterative method. Numerical examples are carried out in which the Si3N4-SUS304 FGM hollow cylinders are considered, and some valuable dynamic thermoelastic characteristics of the FGM hollow cylinder subjected to symmetric or asymmetric thermal shocking are revealed.
Free vibration analysis of angle-ply laminate composite beams by mixed finite element formulation using the Gâteaux differential
Authors: Ozutok Atilla , Madenci Emrah , Kadioglu Fethi 
Published: August 2013

AbstractFree vibration analyses of angle-ply laminated composite beams were investigated by the Gâteaux differential method in the present paper. With the use of the Gâteaux differential method, the functionals were obtained and the natural frequencies of the composite beams were computed using the mixed finite element formulation on the basis of the Euler-Bernoulli beam theory and Timoshenko beam theory. By using these functionals in the mixed-type finite element method, two beam elements, CLBT4 and FSDT8, were derived for the Euler-Bernoulli and Timoshenko beam theories, respectively. The CLBT4 element has 4 degrees of freedom (DOFs) containing the vertical displacement and bending moment as the unknowns at the nodes, whereas the FSDT8 element has 8 DOFs containing the vertical displacement, bending moment, shear force and rotation as unknowns. A computer program was developed to execute the analyses for the present study. The numerical results of free vibration analyses obtained for different boundary conditions were presented and compared with the results available in the literature, which indicates the reliability of the present approach.
Using Genetically Informed, Randomized Prevention Trials to Test Etiological Hypotheses About Child and Adolescent Drug Use and Psychopathology
Authors: Brody Gene H. , Beach Steven R. H. , Hill Karl G. , Howe George W. , Prado Guillermo , Fullerton Stephanie M. 
Published: August 2013

In this essay, we describe a new era of public health research in which prevention science principles are combined with genomic science to produce gene × intervention (G×I) research.We note the roles of behavioral and molecular genetics in risk and protective mechanisms for drug use and psychopathology among children and adolescents, and the results of first-generation genetically informed prevention trials are reviewed. We also consider the need for second-generation research that focuses on G×I effects on mediators or intermediate processes.This research can be used to further understanding of etiological processes, to identify individual differences in children’s and adolescents’ responses to risk, and to increase the precision of prevention programs. We note the caveats about using genetic data to select intervention participants.
Assessment of Genetic and Nongenetic Interactions for the Prediction of Depressive Symptomatology: An Analysis of the Wisconsin Longitudinal Study Using Machine Learning Algorithms
Authors: Roetker Nicholas S. , Page C. David , Yonker James A. , Chang Vicky , Roan Carol L. , Herd Pamela , Hauser Taissa S. , Hauser Robert M. , Atwood Craig S. 
Published: August 2013

Objectives. We examined depression within a multidimensional framework consisting of genetic, environmental, and sociobehavioral factors and, using machine learning algorithms, explored interactions among these factors that might better explain the etiology of depressive symptoms.Methods. We measured current depressive symptoms using the Center for Epidemiologic Studies Depression Scale (n = 6378 participants in the Wisconsin Longitudinal Study). Genetic factors were 78 single nucleotide polymorphisms (SNPs); environmental factors—13 stressful life events (SLEs), plus a composite proportion of SLEs index; and sociobehavioral factors—18 personality, intelligence, and other health or behavioral measures. We performed traditional SNP associations via logistic regression likelihood ratio testing and explored interactions with support vector machines and Bayesian networks.Results. After correction for multiple testing, we found no significant single genotypic associations with depressive symptoms. Machine learning algorithms showed no evidence of interactions. Naïve Bayes produced the best models in both subsets and included only environmental and sociobehavioral factors.Conclusions. We found no single or interactive associations with genetic factors and depressive symptoms. Various environmental and sociobehavioral factors were more predictive of depressive symptoms, yet their impacts were independent of one another. A genome-wide analysis of genetic alterations using machine learning methodologies will provide a framework for identifying genetic–environmental–sociobehavioral interactions in depressive symptoms.
Critical Need for Family-Based, Quasi-Experimental Designs in Integrating Genetic and Social Science Research
Authors: D’Onofrio Brian M. , Lahey Benjamin B. , Turkheimer Eric , Lichtenstein Paul 
Published: August 2013

Researchers have identified environmental risks that predict subsequent psychological and medical problems. Based on these correlational findings, researchers have developed and tested complex developmental models and have examined biological moderating factors (e.g., gene–environment interactions). In this context, we stress the critical need for researchers to use family-based, quasi-experimental designs when trying to integrate genetic and social science research involving environmental variables because these designs rigorously examine causal inferences by testing competing hypotheses. We argue that sibling comparison, offspring of twins or siblings, in vitro fertilization designs, and other genetically informed approaches play a unique role in bridging gaps between basic biological and social science research. We use studies on maternal smoking during pregnancy to exemplify these principles.
Why It Is Hard to Find Genes Associated With Social Science Traits: Theoretical and Empirical Considerations
Authors: Chabris Christopher F. , Lee James J. , Benjamin Daniel J. , Beauchamp Jonathan P. , Glaeser Edward L. , Borst Gregoire , Pinker Steven , Laibson David I. 
Published: August 2013

Objectives. We explain why traits of interest to behavioral scientists may have a genetic architecture featuring hundreds or thousands of loci with tiny individual effects rather than a few with large effects and why such an architecture makes it difficult to find robust associations between traits and genes.Methods. We conducted a genome-wide association study at 2 sites, Harvard University and Union College, measuring more than 100 physical and behavioral traits with a sample size typical of candidate gene studies. We evaluated predictions that alleles with large effect sizes would be rare and most traits of interest to social science are likely characterized by a lack of strong directional selection. We also carried out a theoretical analysis of the genetic architecture of traits based on R.A. Fisher’s geometric model of natural selection and empirical analyses of the effects of selection bias and phenotype measurement stability on the results of genetic association studies.Results. Although we replicated several known genetic associations with physical traits, we found only 2 associations with behavioral traits that met the nominal genome-wide significance threshold, indicating that physical and behavioral traits are mainly affected by numerous genes with small effects.Conclusions. The challenge for social science genomics is the likelihood that genes are connected to behavioral variation by lengthy, nonlinear, interactive causal chains, and unraveling these chains requires allying with personal genomics to take advantage of the potential for large sample sizes as well as continuing with traditional epidemiological studies.
Strategies for Petroleum Exploration on the Basis of Bayesian Networks: A Case Study
Authors: Martinelli Gabriele , Eidsvik Jo , Hokstad Ketil , Hauge Ragnar 
Published: August 2013

SummaryThe paper presents a new approach for modeling important geological elements, such as reservoir, trap, and source, in a unified statistical model. This joint modeling of these geological variables is useful for reliable prospect evaluation, and provides a framework for consistent decision making under uncertainty. A Bayesian network (BN), involving different kinds of dependency structures, is used to model the correlation within the various geological elements and to couple the elements. On the basis of the constructed network, an optimal sequential exploration strategy is established with dynamic programming (DP). This strategy is useful for selecting the first prospect to explore and for making the decisions that should follow, depending on the outcome of the first well. A risk-neutral decision maker will continue exploring new wells as long as the expected profit is positive.The model and choice of exploration strategy are tailored to a case study represented by five prospects in a salt basin, but they will also be useful for other contexts. For the particular case study, we show how the strategy clearly depends on the exploration and development cost and the expected volumes and recovery factors. The most lucrative prospect tends to be selected first, but the sequential decisions depend on the outcome of the exploration well in this first prospect.