Optimization of Controller Parameters for Energy Saving

Among various technologies to tackle the twin challenges of sustainable energy supply and climate change, energy saving through advanced control plays a crucial role in decarbonizing the whole energy system. Modern control technologies, such as optimal control and model predictive control do provide a framework to simultaneously regulate the system performance and limit control energy. However, few have been done so far to exploit the full potential of controller design in reducing the energy consumption while maintaining desirable system performance. This paper investigates the correlations between control energy consumption and system performance using two popular control approaches widely used in the industry, namely the PI control and subspace model predictive control. Our investigation shows that the controller design is a delicate synthesis procedure in achieving better trade-o between system performance and energy saving, and proper choice of values for the control parameters may potentially save a significant amount of energy

Detection of Bridge Dynamic Parameters using an Instrumented Vehicle

Highway structures such as bridges are subject to continuous degradation primarily due to ageing and environmental factors. A rational transport policy requires the monitoring of this transport infrastructure to provide adequate maintenance and guarantee the required levels of transport service and safety. In Europe, this is now a legal requirement - a European Directive requires all member states of the European Union to implement a Bridge Management System. However, the process is expensive, requiring the installation of sensing equipment and data acquisition electronics on the bridge. This paper investigates the use of an instrumented vehicle fitted with accelerometers on its axles to monitor the dynamic behaviour of bridges as an indicator of its structural condition. This approach eliminates the need for any on-site installation of measurement equipment. A simplified half-car vehicle-bridge interaction model is used in theoretical simulations to test the possibility of extracting the dynamic parameters of the bridge from the spectra of the vehicle accelerations. The effect of vehicle speed, vehicle mass and bridge span length on the detection of the bridge dynamic parameters are investigated. The algorithm is highly sensitive to the condition of the road profile and simulations are carried out for both smooth and rough profiles

Experimental Investigation of the Detection of Bridge Dynamic Parameters using a Moving Vehicle

This paper investigates the feasibility of using an instrumented vehicle to detect bridge dynamic parameters, such as natural frequency and structural damping, in a scaled laboratory experiment. In the experiment, a scaled vehicle model crosses a steel girder which has been adopted as the bridge model. The bridge model also includes a scaled road surface profile. The effects of varying vehicle model mass and speed are investigated. The damping of the girder is also varied. The bridge frequency and changes in damping are detected in the vehicle acceleration response in the presence of a rough road surface profile.

Identification of Small Signal Oscillation Mode Parameters from Simulated and Actual PMU Ringdown Data

This paper presents the practical use of Prony Analysis to identify small signal oscillation mode parameters from simulated and actual phasor measurement unit (PMU) ringdown data. A well-known two-area four-machine power system was considered as a study case while the latest PMU ringdown data were collected from a double circuit 275 kV main interconnector on the Irish power system. The eigenvalue analysis and power spectral density were also conducted for the purpose of comparison. The capability of Prony Analysis to identify the mode parameters from three different types of simulated PMU ringdown data has been shown successfully. Furthermore, the results indicate that the Irish power system has dominant frequency modes at different frequencies. However, each mode has good system damping.

The role of antimicrobial peptides in periodontal disease.

Objectives Fibroblasts play a significant role as regulators of the host response in periodontal disease, responding to bacterial stimulation by producing an array of inflammatory cytokines and chemokines. LL-37, a host defence peptide, inhibits LPS-induced cytokine signalling in macrophages, suggesting an immunomodulatory role. The objective was to investigate the interaction between LL-37 and gingival fibroblasts – both its direct regulation of fibroblast activity and its effect on fibroblast response to LPS activation. Methods Human gingival fibroblasts (HGFs) were incubated for 24 hours in the presence of either P. gingivalis LPS (10µg/ml) or E. coli LPS (10ng/ml) along with LL-37 (0-50 µg/ml). IL-6 and IL-8 production by HGFs in the conditioned medium was determined by ELISA. Western blot was performed to determine the effect of LL-37 on LPS -induced IκBα degradation in HGFs following LPS stimulation over 2 hours. DNA microarray analysis was performed on cell populations incubated for 6 hr in the presence or absence of the peptide. Confirmation of LL-37 effects on specific gene expression was obtained by QPCR. Results At low concentrations (≤ 5 µg/ml) LL-37 significantly inhibited LPS-induced cytokine production by HGFs. At higher concentrations LL37 induced IL-8 production independent of LPS. Addition of LL-37 blocked LPS-induced IκBα degradation in HGFs. Microarray analysis revealed that LL-37 (50µg/ml) upregulated a significant number of cytokines and chemokines by > 5 fold. Upregulation of five of these, CXCL1, CXCL2, CXCL3, IL-24 and IL-8 was confirmed by Q-PCR. Conclusion The host defence peptide LL-37, the only known human cathelicidin, appears to have pleiotrophic effects in innate immunity. At least some of these are mediated through cytokine and chemokine signalling networks. The ability of LL-37 to reduce bacterial LPS-induced cytokine production in gingival fibroblasts, at low concentrations, suggests a potential therapeutic role in the management of periodontal disease.

Function of host defence peptide LL-37 in human periodontal disease.

Objectives: Fibroblasts play a significant role as regulators of the host response in periodontal disease, responding to bacterial stimulation by producing an array of inflammatory cytokines and chemokines. LL-37, a host defence peptide, inhibits LPS-induced cytokine signalling in macrophages, suggesting an immunomodulatory role. The objective was to investigate the interaction between LL-37 and gingival fibroblasts – both its direct regulation of fibroblast activity and its effect on fibroblast response to LPS activation. Methods: Human gingival fibroblasts (HGFs) were incubated for 24 hours in the presence of either P. gingivalis LPS (10µg/ml) or E. coli LPS (10ng/ml) along with LL-37 (0-50 µg/ml). IL-6 and IL-8 production by HGFs in the conditioned medium was determined by ELISA. Western blot was performed to determine the effect of LL-37 on LPS -induced IκBα degradation in HGFs following LPS stimulation over 2 hours. DNA microarray analysis was performed on cell populations incubated for 6 hr in the presence or absence of the peptide. Confirmation of LL-37 effects on specific gene expression was obtained by QPCR. Results: At low concentrations (≤ 5 µg/ml) LL-37 significantly inhibited LPS-induced cytokine production by HGFs. At higher concentrations LL-37 induced IL-8 production independent of LPS. Addition of LL-37 blocked LPS-induced IκBα degradation in HGFs. Microarray analysis revealed that LL-37 (50µg/ml) upregulated a significant number of cytokines and chemokines by > 5 fold. Upregulation of five of these, CXCL1, CXCL2, CXCL3, IL-24 and IL-8 was confirmed by Q-PCR. Conclusion: The host defence peptide LL-37, the only known human cathelicidin, appears to have pleiotrophic effects in innate immunity. At least some of these are mediated through cytokine and chemokine signalling networks. The ability of LL-37 to reduce bacterial LPS-induced cytokine production in gingival fibroblasts, at low concentrations, suggests a potential therapeutic role in the management of periodontal disease.

The role of the cathelicidin LL-37 in periodontal disease.

Abstract Background Fibroblasts respond to bacterial stimulation by producing an array of inflammatory cytokines and chemokines. As such fibroblasts play a significant role as regulators of the host response in periodontal disease. LL-37, an antimicrobial peptide, found in saliva and GCF, inhibits LPS-induced cytokine signalling in macrophages, suggesting a role in host defence in periodontal disease. This study investigated the interaction between LL-37 and gingival fibroblasts – both its direct regulation of fibroblast activity and also its effect on fibroblast response to LPS activation. Methods Human gingival fibroblasts (HGFs) were incubated for 24 hours in the presence of either P. gingivalis LPS (10µg/ml) or E. coli LPS (0.01µg/ml) along with LL-37 (0-50µg/ml). IL-6 and IL-8 production by HGFs in the conditioned medium was determined by ELISA. DNA microarray analysis was performed on cell populations incubated for 6 hr in the presence or absence of the peptide. Results At low concentrations (≤ 5 µg/ml) LL-37 significantly inhibited LPS-induced cytokine production by HGFs. At higher concentrations LL37 induced IL-8 production independent of LPS. Microarray analysis revealed that LL-37 upregulated a significant number of cytokines and chemokines by > 5 fold. The stimulatory effect on IL-8 mRNA expression was confirmed by Q-PCR. Conclusion LL-37 appears to have pleiotrophic effects in innate immunity. Its ability, at low concentrations, to reduce bacterial LPS-induced cytokine production in gingival fibroblasts suggests a potential therapeutic role in the management of periodontal disease.

Hidden Markov Models With Set-Valued Parameters

Hidden Markov models (HMMs) are widely used probabilistic models of sequential data. As with other probabilistic models, they require the specification of local conditional probability distributions, whose assessment can be too difficult and error-prone, especially when data are scarce or costly to acquire. The imprecise HMM (iHMM) generalizes HMMs by allowing the quantification to be done by sets of, instead of single, probability distributions. iHMMs have the ability to suspend judgment when there is not enough statistical evidence, and can serve as a sensitivity analysis tool for standard non-stationary HMMs. In this paper, we consider iHMMs under the strong independence interpretation, for which we develop efficient inference algorithms to address standard HMM usage such as the computation of likelihoods and most probable explanations, as well as performing filtering and predictive inference. Experiments with real data show that iHMMs produce more reliable inferences without compromising the computational efficiency.

Effects of tobacco products on the attachment and growth of periodontal ligament fibroblasts

BACKGROUND: Cigarette smoking is one of the most significant risk factors in the development and further advancement of inflammatory periodontal disease, however, the role of either nicotine or its primary metabolite cotinine in the progression of periodontitis is unclear. This study aimed to investigate the effects of nicotine and cotinine on the attachment and growth of fibroblasts derived from human periodontal ligament (PDL).

METHODS: Primary cultures were prepared from the roots of extracted premolar teeth. Cells were used at both low (P3 to P5) and high (P11 to P13) passage. Cell numbers were determined over 14 days using either the 3-(4,5-dimethylthiazol-2-yl)-2, 5-diphenyl tetrazolium bromide (MTT) assay or with a Coulter counter. Cultures were exposed to culture medium supplemented with 1) 15% fetal calf serum (FCS) only; 2) 1% FCS only; 3) 1% FCS and nicotine (concentration range 5 ng/ml to 10 mg/ml); or 4) 1% FCS and cotinine (concentration range 0.5 ng/ml to 10 microg/ml).

RESULTS: Nicotine significantly (P <0.05, by ANOVA) inhibits attachment and growth of low passage cells at concentrations >1 mg/ml and high passage PDL fibroblasts at concentrations >0.5 mg/ml. Cotinine, at the highest concentration used (10 microg/ml), appeared to inhibit attachment and growth of both low and high passage fibroblasts but this was not statistically significant (P >0.05, by ANOVA).

CONCLUSIONS: Tobacco products inhibit attachment and growth of human PDL fibroblasts. This may partly explain the role of these substances in the progression of periodontitis.

Reference gene selection in human periodontal ligament cells

Background: Real-time quantitative PCR (qPCR) is a highly sensitive and specific method which is used extensively for determining gene expression profiles in a variety of cell and tissue types. In order to obtain accurate and reliable gene expression quantification, qPCR data are generally normalised against so-called reference or housekeeping genes. Ideally, reference genes should have abundant and stable RNA transcriptomes under the experimental conditions employed. However, reference genes are often selected rather arbitrarily and indeed some have been shown to have variable expression in a variety of in vitro experimental conditions.
Objective: The objective of the current study was to investigate reference gene expression in human periodontal ligament (PDL) cells in response to treatment with lipopolysaccharide (LPS).
Method: Primary human PDL cells were grown in Dulbecco’s Modified Eagle Medium with L-glutamine supplemented with 10% fetal bovine serum, 100UI/ml penicillin and 100µg/ml streptomycin. RNA was isolated using the RNeasy Mini Kit (Qiagen) and reverse transcribed using the QuantiTect Reverse Transcription Kit (Qiagen). The expression of a total of 19 reference genes was studied in the presence and absence of LPS treatment using the Roche Reference Gene Panel. Data were analysed using NormFinder and Bestkeeper validation programs.
Results: Treatment of human PDL cells with LPS resulted in changes in expression of several commonly used reference genes, including GAPDH. On the other hand the reference genes β-actin, G6PDH and 18S were identified as stable genes following LPS treatment.
Conclusion: Many of the reference genes studied were robust to LPS treatment (up to 100 ng/ml). However several commonly employed reference genes, including GAPDH varied with LPS treatment, suggesting they would not be ideal candidates for normalisation in qPCR gene expression studies.

Neuropeptide Y in GCF in periodontal health and disease

Objectives: To determine whether neuropeptide Y (NPY) is present in gingival crevicular fluid (GCF) in both periodontal health and disease and to study the relationship of NPY with periodontal inflammation. Methods: GCF samples (30 s) were collected from one site with both pocket depth (>4mm) and loss of periodontal attachment (>4mm) in 20 patients with chronic periodontitis (mean age 41.4, SD 9.6 yrs; 10 m, 10 f). GCF was also collected from clinically healthy sites (< 3mm, no bleeding on probing) in 20 subjects with no periodontitis (mean age 37.4, SD 11.7; 10 m, 10 f). GCF was collected using the periopaper strip method, diluted in 500 ul of phosphate-buffered saline and stored at –70°C. Samples were analysed in duplicate for NPY by radioimmunoassay. NPY levels were compared using the Mann-Whitney test. Results: Measurable NPY was present in all the GCF samples collected from healthy subjects. NPY was below the level of detection in 4 (20%) of the diseased subjects. There was considerable variability in the amount of NPY collected from both groups. There were no differences between the levels of NPY measured in males compared with females in either the healthy or diseased groups. Significantly more (P< 0.0001) NPY (pg) was collected from healthy subjects (Median 165, IQR 80; mean 161, SD 64) than diseased subjects (Median 37.5, IQR 56.3; mean 39.8, SD 35.1). There was more variability in the NPY concentration (pg/ul) which was also significantly higher in healthy (Median 575.7, IQR 562.3; mean 645.7, SD 416.7) compared with diseased subjects (Median 43.6, IQR 117.4; mean 96.4, SD 124.5). Conclusions: It is concluded that the levels of NPY in GCF sampled

The role of LL-37 in periodontal wound healing

Introduction: As a result of chronic inflammation during periodontal disease the junctional epithelium becomes micro-ulcerated. The inflammatory process is mediated by both bacterial and host cell products. Host defence peptides such as defensins, secretory leucocyte protease inhibitor (SLPI) and the sole human cathelicidin, LL-37, are secreted by both periodontal cells and neutrophils into gingival crevicular fluid (GCF). They have the ability to modulate the immune response in periodontitis and are thought to have a potential role in periodontal wound healing. Objectives: The aims of this study were to determine the role of LL-37 in the production of Interleukin (IL)-8, IL-6, hepatocyte growth factor (HGF) and basic-fibroblast growth factor (bFGF) by gingival fibroblasts. The role of LL-37 in modulating total matrix metalloproteinase (MMP) activity and expression of tissue inhibitors of metalloproteinase (TIMP)-1 and -2 by gingival fibroblasts was also investigated. Methods: Primary gingival fibroblasts were co-cultured with concentrations of LL-37 (1, 5 and 10µg/ml) for 24 hours and their supernatants tested for levels of IL-8 and IL-6, HGF, bFGF, TIMP-1 and TIMP-2 by ELISA. Rates of MMP turnover in the supernatants were tested by fluorogenic assay using fluorescence resonance energy transfer (FRET) peptide substrates. Cytotoxicity was measured by MTT assay. Statistical significance was measured using the independent t-test and p<0.05 was considered significant. Results: LL-37 significantly upregulated levels of IL-8, IL-6, HGF, bFGF and TIMP-1 (p<0.05) in a dose-dependent fashion. LL-37 significantly decreased the total MMP activity (p<0.05). None of the LL-37 concentrations tested were cytotoxic to gingival fibroblasts. Conclusion: These results indicate that LL-37 is involved in periodontal wound healing. LL-37 increased levels of proinflammatory cytokines and increased levels of growth factors involved in re-epithelialisation. LL-37 has the ability to regulate remodelling of the periodontium by controlling MMP overactivity both directly and by stimulating production of inhibitors by gingival fibroblasts.

Functional expression of TRPV4 in human periodontal ligament cells

Background: Periodontal ligament (PDL) cells are exposed to physical forces in vivo in response to mastication, parafunction, speech and orthodontic tooth movement. Although it has been shown that PDL cells perceive and respond directly to mechanical stimulation, the nature of the ion channels that mediate this mechanotransduction remain to be fully elucidated. The transient receptor potential (TRP) superfamily of ion channels is believed to play a critical role in sensory physiology, where they act as transducers for thermal, chemical and mechanical stimuli. Recent studies have shown that members of the vanilloid (TRPV) and ankyrin (TRPA) subfamilies encode mechanosensitive TRPs. The vanilloid family member TRPV4 is one such non selective calcium permeable cationic channel which has been shown to be activated by chemical ligands, hypotonicity, and mechanical stimuli. Objectives: The objective of the current study was to investigate functional expression of TRPV4 in cultured human PDL cells. Methods: Human PDL cells were grown in Dulbecco's Modified Eagle Medium with L-glutamine supplemented with 10% fetal bovine serum (FBS), 100UI/ml penicillin and 100μg/ml streptomycin. Cells in passage 4-6 were used in all experiments. TRPV4 functional expression was determined using ratiometric calcium imaging. Cultured cells were loaded with intracellular Ca2+ probe fura-2 and cells were then stimulated with the TRPV4 agonists, 4alpha-phorbol 12,13-didecanoate (4alpha-PDD), GSK1016790A or hypotonic solution. The TRPV4 antagonist RN 1734 was used to block the corresponding agonist responses. Results: PDL fibroblasts responded to application of TRPV4 agonists and hypotonic stimuli by an increase in intracellular calcium which was attenuated in the presence of the TRPV4 antagonist. Conclusions: We have shown for the first time the functional expression of the mechanosensitive TRPV4 channel in human PDL cells. The molecular identity and mechanisms of activation of mechanosensitive TRP channels in PDL cells merit further investigation.

Osteoprotegerin expression by periodontal ligament fibroblasts

Objectives: Receptor Activator of NF-kappaB ligand (RANKL), through binding to its receptor (RANK), plays an important role in osteoclast differentiation and activation. Conversely, osteoprotegerin (OPG), a decoy receptor for RANKL, inhibits osteoclastogenesis and subsequent bone turnover. Little is known about the role of resident periodontal ligament fibroblasts in regulating bone turnover. The aim of this study was to determine (i) if periodontal ligament fibroblasts produced OPG in vitro and (ii) the effects of IL-1b and TGF-b1 on OPG expression. Methods: Three human periodontal ligament fibroblast populations, developed by explant culture, were grown to confluence in 6-well plates in DMEM supplemented with 10% FCS. Cells were washed in HBSS and then cultured for an additional 48 hours in serum-free media supplemented with IL-1b or TGF-b1 at 10ng/ml. OPG expression levels in the conditioned medium were determined by ELISA (R&D Systems, UK) and confirmed by Western blot. Results: All three fibroblast strains produced quantifiable levels of OPG. Both IL-1b and, to a lesser extent, TGF-b1 significantly stimulated OPG expression in all fibroblast strains (p<0.05). Pre-incubation of samples with N-glycosidase F prior to Western blots indicated glycosylation of expressed OPG. Conclusions: These data indicate that periodontal ligament fibroblasts can regulate osteoclast activation via the RANK/RANKL signalling pathway. These fibroblasts may play an important role in regulating bone turnover both in periodontal disease and orthodontic tooth movement.