Analysis and Exposure of Parkinson’s Disease Signal in the Vicinity of Wavelet Transform

Parkinson\u27s disease (PD) is a gradual progressive central neurodegenerative disorder that affects body movement and is characterized by symptoms such as muscle rigidity, resting tremors, loss of facial expression, hypophonia, diminished blinking, and akinesia [4]. This work aims at providing new insights on the Parkinson\u27s disease fragmentation problem using wavelets [1, 2, 3]. The present work describes a computer model to provide a more accurate picture of the Parkinson\u27s disease (PD) signal processing via Wavelet Transform [7, 8, 9, 10]. The Matlab techniques have been uses which provide a system oriented scientific decision making modal [7, 8]. Within this practice the applied signal has been compared in a sequential order with dissimilar cases in attendance in the database. Special biomedical signals have been considered from Gait in Aging and Disease Database [6] and Physio bank [5]. Analyze the signal under consideration and renowned the holder 100% truthfully

Incursion Model for Nomenclature of EEG Signals via Wavelet Transform

EEG refers to the recording of the brain’s spontaneous electrical activity over a short period of time, usually 20–40 minutes, as recorded from multiple electrodes placed on the scalp. In advance EEG signals used to be a first-line method for the diagnosis of tumors, stroke and other focal brain disorders. The structure generating the signal is not simply linear, but also involves nonlinear contributions [7, 8, 9].These non-stationary signals are may contain indicators of current disease, or even warnings about impending diseases. This work aims at providing new insights on the Electroencephalography (EEG) fragmentation problem using wavelets [2, 5]. The present work describes a computer model to provide a more accurate picture of the EEG signal processing via Wavelet Transform [16, 17, 18, 19]. The Matlab techniques have been uses which provide a system oriented scientific decision making modal [16, 17]. Within this practice the applied signal has been compared in a sequential order with dissimilar cases in attendance in the database. Special EEG signals have been considered from Physio bank [1] and Vijaya Medical Centre, Visakhapatnam, India. Analyze the signal under consideration and renowned the holder 100% truthfully

WORK MODELING FOR CATEGORIZATION OF LATE POTENTIALS IN ECG SIGNALS BY WAY OF WAVELETS

Late potentials in ECG take place in the terminal portion of the QRS complex and are characterized by tiny amplitudes and larger frequencies. The occurrence of late potentials may signify underlying distribution of electrical activity of the cells in the heart, and provides a substrate for production of arrhythmias. The conventional Fourier transform does not readily localize these features in time and frequency. Short Time Fourier Transform (STFT) is added useful because the concentration of the signal energy at various times in the cardiac cycle is more readily identified. This STFT suffers from the problem of selecting the proper window function as a window width can determine whether high temporal or high spectral resolution is achieved. The Wigner-Ville distribution, which produces a composite time – frequency distribution but suffers from the problem of interference from cross-terms. The problem of late potentials causes high levels of signal power to be seen at frequencies not representing the original signal. The present work describes the application of Wavelet Transform to provide a more accurate picture of the localized time-scale features indicative of the late potentials. The first step includes generating mathematical equations for various cases by developing a program in Matlab. Compared the signal under consideration with all those signals in the database by developing an identification code in Matlab. Analyzed the late potentials in the signal under consideration and identified the case. The second step includes generating mathematical equations for various specimen cases for the same type category by developing a program in Matlab. Compared the signal under consideration with all those signals in the database by developing an identification code in Matlab. Analyzed the late potentials in the signal under consideration and identified the case along with the specimen case

人の集団に関する新たな評価方法の考察

九州大学応用力学研究所研究集会報告 No.20ME-S7 「非線形波動の数理と物理」RIAM Symposium No.20ME-S7 Mathematics and Physics in Nonlinear waves本研究では、金融工学の手法を用いて人の混雑を評価する理論の構築を試みた。我々は、人の混雑を表すダイナミクスは確率項を含むLogistic 方程式に従うと仮定し、この動きを正味現在価値やリアルオプション法によって評価した。また、金融工学では、割引率を用いることによってタイミングによる価値の違いが表現されるが今回のモデルでは、割引率を人の効用を割り引くために導入し、実データに基づく推定・考察もあわせて行った

Self-sealing resin fixators in dentistry

Fixed indirect restorations bond to the prepared tooth surfaces with the use of a variety of luting agents depending upon the purpose of that rehabilitation. Success and failures of these restorations have been attributed to the quality of their bond with the tooth substrate. However, the advent of resin-based and self-adhesive resin luting agents have greatly changed this equation by altering the conventional bonding mechanisms and the durability of bond. The limited literature details of these self-adhesive resin luting agents require further exploration for the benefit of dental professionals. This review provides an overview of the composition, chemical interactions, favourable and unfavourable properties to be known for improving the scope of their utilization in dentistry

LONG-TERM EFFICACY OF PROTEIN-ENRICHED PEA FLOUR AGAINST TRIBOLIUM CASTANEUM (COLEOPTERA: TENEBRIONIDAE) IN WHEAT FLOUR

Long-term efficacy of the protein-enriched flour of pea (Pisum sativum L. var. Bonneville) in its toxicity, progeny reduction and organoleptic properties was evaluated by combining it with wheat flour and testing the admixture against the red flour beetle, Tribolium castaneum (Herbst). The toxicity and progeny-reducing effects of the wheat flour treated with protein-enriched pea flour were stable for a period of 5 months when stored at 28°C with 75% r.h. Heat treatment destroyed the biological activity of the protein-enriched pea flour containing the active ingredient due to the denaturation of proteins. The organoleptic properties of stored wheat flour were not affected by the treatment with protein-enriched pea flour

The effect of Fit-checking material and various subsequent cleaning methods on the wettability of the dentin surface: an in vitro study

Background: GC Fit-checker is a modified polyvinyl siloxane impression material exclusively used to check the internal fit and improve the marginal fit of indirect restorations. An unpolymerized organic film is known to be leftover on the bonding surfaces after the silicone disclosing procedure. Residual silicone film being hydrophobic may alter the wettability of the cement to the tooth/metal surface, thus having a detrimental effect on the bond strength and retention of the restoration.   Aim: This study aimed to evaluate the wetting of luting liquid (GIC) to tooth dentin surface after application of Fit-checker and evaluate the efficiency of various surface treatments in removing the residual silicone film. Materials and Methods: Extracted human molars were mounted on the acrylic block, and the tooth occlusal surface was ground flat till the dentin exposure. All the specimens were assigned into five groups: Group 1: without application of Fit-checker (control group); Group 2: without any surface treatment after peeling off Fit-checker; Group 3: surface treatment with wet pumice; Group 4: 37% phosphoric acid treatment; Group 5: 10% polyacrylic acid treatment. Later, Type 1 Glass Ionomer Cement (GIC) liquid drop was placed on the dentin and photographs were made horizontally using a standardized procedure. Contact angles were measured using AUTOCAD software. Obtained values were statistically analyzed using the One-way ANOVA test and Tukey’s Post hoc test. Samples of each group were examined using the scanning electron microscope. Results: Statistically significant difference was observed among all the groups except between Group 4 and Group 2 (p > 0.05). SEM images of various groups showed a significant difference in roughness patterns. Conclusion: Surface treatment with pumice and the rotary brush was an effective method among the three in cleaning the residual silicone film

VILIP-1 Expression In Vivo Results in Decreased Mouse Skin Keratinocyte Proliferation and Tumor Development

VILIP-1, a member of the neuronal Ca2+ sensor protein family, is able to act as a tumor suppressor in carcinoma cells by inhibiting cell proliferation and migration. In order to study the role of VILIP-1 in skin carcinogenesis we generated transgenic mice overexpressing VILIP-1 in epidermis under the control of the bovine keratin K5 promoter (K5-VILIP-1). We studied the susceptibility of FVB wild type and VILIP-1 transgenic mice to chemically mediated carcinogenesis. After 30 weeks of treatment with a two-stage carcinogenesis protocol, all animals showed numerous skin tumors. Nevertheless, K5-VILIP-1 mice showed decreased squamous cell carcinoma (SCC) multiplicity of ∼49% (p<0.02) with respect to the corresponding SCC multiplicity observed in wild type (WT) mice. In addition, the relative percentage of low-grade cutaneous SCCs grade I (defined by the differentiation pattern according to the Broders grading scale) increased approximately 50% in the K5-VILIP1 mice when compared with SCCs in WT mice. Similar tendency was observed using a complete carcinogenesis protocol for skin carcinogenesis using benzo(a)pyrene (B(a)P). Further studies of tumors and primary epidermal keratinocyte cultures showed that matrix metalloproteinase 9 (MMP-9) levels and cell proliferation decreased in K5-VILIP-1 mice when compared with their wild counterparts. In addition tissue inhibitor of metalloproteinase 1 (TIMP-1) expression was higher in K5-VILIP-1 keratinocytes. These results show that VILIP-1 overexpression decreases the susceptibility to skin carcinogenesis in experimental mouse cancer models, thus supporting its role as a tumor suppressor gene