Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of Open Flap Debridement-Only and Bone Graft + Membrane Treatments Sri

Periodontitis with a deep pocket can be treated with open flap debridement, and regenerative therapy can be done if there is an intrabony defect. The aim of this study was to compare the clinical and radiographic outcomes of flap surgeries with or without bone graft+membrane. Fortyeight chronic periodontitis patients underwent flap surgery with or without bone graft+membrane. All patients had a probing pocket depth (PPD) of ≥6mm. Secondary data from each patient’s dental record was used to obtain initial PPD, clinical attachment loss (CAL), gingival recession (GR) and bone height (BH) via radiography. After treatment, we re-examined patients to measure these data. Mean scores for PPD, ΔGR, CAL and BH non-bone graft groups were 3.93±2.05 mm, 1.64±1.73 mm, 2.28±2.52mm and 1.27±1.29mm; the bone graft group’s mean scores were 3.95±1.59mm, 1.10±1.26mm, 2.85±1.9 mm and 2.28±2.23. A Mann-Whitney test showed that PPDs between groups were not significantly different. CAL, GR and BH showed a significant difference between the bone graft and non-bone graft groups. The results of this research show that periodontal surgery with and without bone graft+membrane can reduce pocket size, and bone graft + membrane offers an additional benefit in terms of CAL gain, GR loss and BH gain Clinical article (J Int Dent Med Res 2017; 10(Special Issue: pp. 701-706)
Effect of Diabetes Education Program on Glucose Metabolism and Lipid Metabolism, Self-efficacy in NIDDM Patients

The purpose of this study is to determine the effect of diabetes education program on Glucose Metabolism(blood sugar, HbA1c) and Lipid Metabolism(total cholesterol, triglyceride, low density lipoprotein, high density lipoprotein), Self-efficacy in non-insulin independent diabetes mellitus. The study design was a non equivalent control group pre-test post-test design. Data for the study were collected from March 12 to June 19, 2001. Sixty-two research subjects were assigned to experimental(36) and control(26) groups. The collected data was analyzed using the Chi-Square test, t-test by spsswin program The results are as follows : 1. Experimental group had higher level of glucose metabolism than control group(FBS ; t=-3.317, p=.002, HbA1c; t=-4.956, p=.000). 2. Level of lipid metabolism were partly a significant different between experimental group and control group(Triglyceride ; t=-2.108, p=.039). 3. Experimental group had higher efficacy score than control group(t=4.651, p=.000). In conclusion, the study supported the effects of diabetes education program to increase metabolism an d self-efficacy. Further study with a longitudinal design is suggested to verify the effect of diabetes education program in NIDDM and standardized diabetes education program.
Histomorphological alterations in uterus of repeat breeding cows with subclinical endometritis following E. coli lipopolysaccharide and autologous serum therapy

Studies were conducted in 36 repeat breeding crossbred cows to diagnose different degrees of subclinical endometritis through uterine histopathology and to investigate the effects of intrauterine infusion of 100 µg of E. coli lipopolysaccharide (LPS) or its combination with autologous serum (5 ml) 12 h post AI on conception rates. Histopathology of endometrium revealed mild endometritis in 30 cows as indicated by mild to moderate infiltration of neutrophils, mononuclear cells, congestion of blood vessels, haemorrhage and oedema in lamina propria. Mild chronic endometritis (n=5) exhibited desquamation in the endometrium along with mild subepithelial infiltration of mononuclear cells and its periglandular aggregation. Chronic endometritis (n=1) was identified by infiltration of mononuclear cells, marked fibroplasia, rarification of endometrial glands or even its replacement. Mild to severe infiltration of neutrophils along with few healthy epithelial cells was observed in uterine lumen following the treatment. Polymorphonuclear cells in uterine flushings were significantly higher in LPS + autologous serum treated as compared to LPS treated cows. Maximum cows (91.67%) conceived with the treatment of LPS and its combination with autologous serum followed by LPS (75%). It was concluded that different degrees of subclinical endometritis could be diagnosed through histopathological examination of endometrium and fertility could be improved following intrauterine infusion of LPS and/or its combination with autologous serum by enhancing the nonspecific uterine immunity.
Fast and Accurate Electric Field Estimation from a Single Ray Tracing Simulation

─ In this work, an efficient field estimation technique is developed. This technique uses a single simulation of a ray tracing tool, at one spatial point at one frequency, to compute the field in the vicinity of the simulated point throughout a complete frequency range. The developed technique is a two-step procedure. Firstly, it operates over the images and field contributions generated by the ray tracing tool at the simulated receiver point to obtain an appropriate set of field contributions for each new receiver point. Secondly, once the new set of images and contributions at one frequency is obtained, a very simple extrapolation procedure is applied to obtain the electric field throughout a frequency range. The whole technique is computationally very efficient and it is also accurate, as the measurements comparison shows. Index Terms ─ mm-W band, radio channel characterization, ray tracing, wave propagation prediction.
Control of b-Catenin Stability : Reconstitution of the Cytoplasmic Steps of the Wnt Pathway in Xenopus Egg Extracts

mechanistic aspects of wnt signaling still remain obscure. Recent reviews (see, for example, Cadigan and Nusse, 1997; Brown and Moon, 1998; Wodarz and Nusse, 1998; Sokol, 1999) present models that differ significantly in describing how the signal is propagated Adrian Salic,† Ethan Lee,† Leslie Mayer, and Marc W. Kirschner* Department of Cell Biology Harvard Medical School Boston, Massachusetts 02115 through the pathway and what proteins and interactions are functionally important. An incomplete list of poorly understood aspects in wnt signaling includes: (1) how Summary wnt-bound frizzled activates dsh; (2) how dsh interacts with GSK3/APC/axin/b-catenin complex and stabilizes Regulation of b-catenin degradation by intracellular components of the wnt pathway was reconstituted in b-catenin; (3) how b-catenin is recognized by the degradation machinery; (4) how GBP is regulated during wnt cytoplasmic extracts of Xenopus eggs and embryos. The ubiquitin-dependent b-catenin degradation in exsignaling; (5) what role is played by the tumor suppressor APC; and (6) what function, if any, is performed by other tracts displays a biochemical requirement for axin, GSK3, and APC. Axin dramatically accelerates while proteins that bind to known components of the pathway. A notable obstacle to a better understanding of wnt dishevelled inhibits b-catenin turnover. Through another domain, dishevelled recruits GBP/Frat1 to the signaling has been the lack of a biochemically tractable, in vitro system for studying the kinetics and the molecuAPC-axin-GSK3 complex. Our results confirm and extend models in which inhibition of GSK3 has two synerlar associations between components of the pathway. Since wnt signaling is active in early Xenopus developgistic effects: (1) reduction of APC phosphorylation and loss of affinity for b-catenin and (2) reduction of ment, we have developed extracts from both Xenopus eggs and embryos to study the pathway biochemically. b-catenin phosphorylation and consequent loss of its affinity for the SCF ubiquitin ligase complex. DishevWe reconstituted signaling downstream of dsh and examined the regulation and requirements for b-catenin elled thus stabilizes b-catenin, which can dissociate from the APC/axin complex and participate in tranturnover, the mechanism by which dsh and GBP inhibit the degradation of b-catenin, and the role of APC-axinscriptional activation. b-catenin interactions.
Cooperation of Network and service layer in Wireless Ad-hoc Networks

In this paper, we investigate how service discovery protocols can be improved in Mobile Ad-Hoc Networks by utilizing routing information from the network layer. We consider in this paper proactive routing protocols as the underlying routing protocols and optimize proactive service discovery protocols. We first propose a general framework for the cooperation of service protocols and routing protocols, and then propose the optimization scheme.
Summary : Contributions to the Design , Implementation and Evaluation of Adaptive Learning Management Systems based on standards , which integrate instructional Design with User Modelling based on Machine Learning

This paper summarizes the main contributions of the PhD Dissertation with the same title, which focused on adding personalization support in existing learning management systems by considering some artificial intelligence techniques (i.e. user modelling, web usage mining, machine learning, recommendation strategies and human computer interaction). In particular, adaptive navigation support in terms of recommendations was deployed in two learning systems through a web based recommendation service provided by a semantic educational recommender system (SERS) and making an extensive use of standards. Moreover, a user-centred design methodology (i.e. TORMES) was defined to design and formatively evaluate educational oriented recommendations.
Counts of rose soft scale ( Rhodococcus perornatus Cockerell & Parrott ) ( Hemiptera : Coccidae ) by using image processing methods

he rose soft scale (Rhodococcus perornatus Cockerell & Parrott) (Hemiptera: Coccidae) is the main pest of oil-bearing rose in Isparta (Turkey). It spends all periods of the life on oil-bearing rose (Rosa damascena Miller) and damage rose plants by sucking the sap. Population density, which is the first step of the struggle with pests, is estimated by regular sampling and counting. However, in case of insects that can reach an overly dense population level, as in Coccidae, census errors are frequently caused by different conditions in census studies. In this study, infested rose twigs infested by different life stages of the pest (1st nymph instar, 2nd nymph instar, female(adult)) were provided from different oilbearing orchards in Isparta at different time stages in the seasons and the twig samples were cut as 1.5 cm pieces for the purpose of image taking and counting. İmaging were done by Leica (Z16 APO; 40X Magnification). Acquired images were processed in the Leica las 4.50 microscope software platform by performing the necessary image quality enhancement operations. Images from the macroscope are converted into countable form by Matlab program (R2016b version) and Matlab software language using morphological image processing methods. An algorithm has been created to determinate female(adult), 1st and 2nd nymphs of rose soft scale and calculate average size of the different life stages. Counting was done and tables were arranged according to the created algorithm.
THE EVALUATION OF THE AEROBIC EXERCISE EFFECTS ON PAIN TOLERANCE

The exercise hypoalgesic effects are reported. But, the effect of chronic exercise training on pain sensitivity is unclear. The study purpose is evaluation the effect of aerobic exercise training on pain sensitivity in healthy persons. Pressure pain threshold ischemic pain tolerance and pain ratings during ischemic were distinguished in 24 participants before and after 6 weeks of structured aerobic exercise training (n = 12) or after 6 weeks of normal physical activity(n = 12). The exercise training diet included of cycling three times per week for 30 min under 75% of maximal oxygen consumption reserve condition. There were significant increasing for aerobic fitness (P = 0.004) and ischemic pain tolerance (P = 0.036) in the exercise group after training and pressure pain threshold and pain ratings showed no significant difference during ischemia (P > 0.2). There was no significant difference for aerobic fitness (P > 0.1) or pain sensitivity (P > 0.1) in the control group. Moderate to strong intensity of aerobic exercise training increases ischemic pain tolerance in healthy persons.
Do Investors Benefit from More Transparency ? An Asset Allocation Perspective ∗

A current debate in finance concerns the transparency in financial markets and the disclosure of counterparty identity information. We use a simple meanvariance framework and data from Helsinki Stock Exchange to explore the asset allocation implications of market transparency. We find that broker identity conveys information that is economically significant. A mean-variance investor can benefit remarkably, up to 36% (annualized) percentage points for the most parsimonious forecasting model, from observing the order flow of a post-trade non-anonymous market. This result suggests that market transparency yields positive economic value. A second result is the substantial variation in the information content of order flow at the broker level. We show that the predictive power of broker customer order flow can be attributed to observable brokerspecific characteristics: market share, daily volume, investment style and degree of sophistication.
Particle Aspect-Ratio Dependence of Shear Jamming in Dense Suspensions

Dense suspension of particles in a Newtonian liquid can exhibit non-Newtonian behaviors such as shear thinning, shear thickening and shear jamming. Although recent studies show that friction between the particles and the particle surface chemistry plays an important role, little is known about how particle shape a↵ects shear jamming characteristics. To address this, we here report on experiments where we synthesize silica particles, designing the particle surface chemistry such that the particles exhibit strong shear jamming over experimentally relevant packing fractions. Our synthetic approach enables us to synthesize particles with aspect ratios ranging from 1 (spheres) to 15 (slender rods). This allows us isolate the e↵ect of particle anisotropy on suspension thickening and jamming. The results uncover new physics about the rheological behavior of anisotropic particles, and shed new light on how to rationally design shear jamming characteristics for protective material applications.
, Simon ( 2012 ) Let ' s Make Refactoring Tools User-extensible !

We present a framework for making a refactoring tool extensible, allowing users to define refactorings from scratch using the concrete syntax of the language, as well as to describe complex refactorings in a domain-specific language for scripting. We demonstrate the approach in practice through a series of examples. The extension framework is built into Wrangler, a tool for refactoring Erlang programs, but we argue that the approach is equally applicable to tools for other languages.
Order Quantity Optimization Problem with Limited Budget and Free Return

In this paper we formulate the order quantity optimization problem for a retailer facing correlated demands. The budget of the retailer is limited, but on the other hand free return policy effectively increases her budget for purchasing more products. This order quantity optimization problem is NP-hard, and we propose both heuristic and metaheuristic methods for solving it. Computational results demonstrate that simulated annealing method significantly improves the solution quality at a cost of more computation time.
D C ] 1 O ct 2 01 5 Diffusion Adaptation Over Clustered Multitask Networks Based on the Affine Projection Algorithm

Distributed adaptive networks achieve better estimation p erformance by exploiting temporal and as well spatial diver sity while consuming few resources. Recent works have studied th single task distributed estimation problem, in which the n odes estimate a single optimum parameter vector collaborativel y. However, there are many important applications where the multiple vectors have to estimated simultaneously, in a collaborati ve manner. This paper presents multi-task diffusion strate gies based on the Affine Projection Algorithm (APA), usage of APA makes the algorithm robust against the correlated input. The perform ance analysis of the proposed multi-task diffusion APA algorith m is studied in mean and mean square sense. And also a modified multi-task diffusion strategy is proposed that improves th e performance in terms of convergence rate and steady state E MSE as well. Simulations are conducted to verify the analytical re sults. I. I NTRODUCTION Distributed adaptation over networks has emerged as an attr active and challenging research area with the advent of mult iagent( wireless or wireline) networks. Recent results in th e field can be found in[1]-[3]. In adaptive networks, the interconnected nodes continuously learn and adapt, as well as perform the as signed tasks such as parameter estimation from observation s collected by the dispersed agents. Consider a connected net work consisting ofN nodes observing temporal data arising from different spatial sources with possibly different statist ical profiles. The objective is to enable the nodes to estimat e a parameter vector of interest,wopt from the observed data. In a centralized approach, the data o r local estimates from all nodes would be conveyed to a central processor where they would be fused a nd the vector of parameters estimated. In order to reduce the requirement of powerful central processor and extensiv amount of communications in a traditional centralized sol uti n, a distributed solution is developed relying only on local da ta exchange and interactions between intermediate neighbo rhood nodes, while retaining the estimation accuracy of centrali zed solution. In distributed networks, the individual node s share the computational burden so that communications are reduced as compared to the centralized network, and power and bandwidt h usage are also there by reduced. Due to these merits, distrib uted estimation has received more attention recently and be en widely
A robust lane detection and tracking method based on computer vision

This paper presents a robust method designed to detect and track a road lane from images provided by an on-board monocular monochromatic camera. The proposed lane detection approach makes use of a deformable template model to the expected lane boundaries in the image, a maximum a posteriori formulation of the lane detection problem, and a Tabu search algorithm to maximize the posterior density. The model parameters completely determine the position of the host vehicle within the lane, its heading direction and the local structure of the lane ahead. Based on the lane detection result in the first frame of the image sequence, a particle filter, having multiple hypotheses capability and performing nonlinear filtering, is used to recursively estimate the lane shape and the vehicle position in the sequence of consecutive images. Experimental results reveal that the proposed lane detection and tracking method is robust against broken lane markings, curved lanes, shadows, strong distracting edges, and occlusions in the captured road images.
Title From R & D to Productivity Growth : Do The Institutional Setting and The Source of Funds of R & D Matter ?

This paper presents estimates of the long-term impact of various sources of knowledge (R&D performed by the business sector, the public sector and foreign firms) on multifactor productivity growth of 16 countries from 1980 to 1998. The main results show that the three sources of knowledge are significant determinants of long term productivity growth. Further evidence suggests that several factors determine the extent to which each source of knowledge contributes to productivity growth. These factors are the absorptive capability, the origin of funding, the socio economic objectives of government support, and the type of public institutions that perform R&D.
Women at risk : issues in the primary prevention of AIDS

General Issues in the Prevention of AIDS in Women A. O'Leary, L.S. Jemmott. Interactions among HIV, Other Sexually Transmitted Diseases (STDs), Socio-economic Status and Poverty in Women S.O. Aral, J.N. Wasserheit. Women centered Prevention Techniques and Technologies E.L. Gollub. Childhood Sexual Abuse and AIDS: Issues and Interventions B. Perez, et al. The Impact of AIDS on Female Adolescents M.J. Rotheram-Borus et al. AfricanAmerican Women and HIV Risk Reduction Issues L.S. Jemmott, et al. Latinas and AIDS: Challenges to HIV Prevention Efforts M.I. Fernandez. Drugusing Women and HIV: Risk Reduction and Prevention Issues G. Weissman, V. Brown. Female Sex Workers: Scapegoats in the AIDS Epidemic J.B. Cohen, P. Alexander. Women and AIDS in Developing Countries M. Raffaelli, J. Pranke. Lesbian Women and HIV/AIDS: An Appeal for Inclusion K.M. Morrow. Index.
Supporting Trust with Provenance of the Findings of the National Climate Assessment

A typical scientific assessment report such as the USGCRP National Climate Assessment [5] considers the corpus of research in the field and through a deliberative process distills and synthesizes that knowledge into specific findings documented and supported in the report. Human readers of the report can determine trust by examining supporting and related aspects of the report such as the producing organization, the credentials and expertise of the authors, the development and review process, referenced scientific research, etc. This paper describes an approach for encoding some of those provenance artifacts supporting the findings in machine readable structured forms. This encourages a very formal and rigorous process for the support of those findings, and enables more systematic exploration of the provenance of the findings of the report. We also share a public open dataset with such information supporting the findings of the National Climate Assessment in the Global Change Information System.
Anomaly detection from hyperspectral imagery

We develop anomaly detectors, i.e., detectors that do not presuppose a signature model of one or more dimensions, for three clutter models: the local normal model, the global normal mixture model, and the global linear mixture model. The local normal model treats the neighborhood of a pixel as having a normal probability distribution. The normal mixture model considers the observation from each pixel as arising from one of several possible classes such that each class has a normal probability distribution. The linear mixture model considers each observation to be a linear combination of fixed spectra, known as endmembers, that are, or may be, associated with materials in the scene, and the coefficients, interpreted as fractional abundance, are constrained to be nonnegative and sum to one. We show how the generalized likelihood ratio test (GLRT) may be used to derive anomaly detectors for the local normal and global normal mixture models. The anomaly detector applied with the linear mixture approach proceeds by identifying target like endmembers based on properties of the histogram of the abundance estimates and employing a matched filter in the space of abundance estimates. To overcome the limitations of the individual models, we develop a joint decision logic, based on a maximum entropy probability model and the GLRT, that utilizes multiple decision statistics, and we apply this approach using the detection statistics derived from the three clutter models. Examples demonstrate that the joint decision logic can improve detection performance in comparison with the individual anomaly detectors. We also describe the application of linear prediction filters to repeated images of the same area to detect changes that occur within the scene over time.