Miracle-dz/UniFAR-FTUs huggingface dataset:
Correlation Between Bone Density and Angular Deviation of Implants Placed Using CT-Generated Surgical Guides

Background: The aim of this study was to evaluate the correlation between the density of bone where implants were placed and the angular deviations that occurred between the virtually planned and actually placed implants using 2 different stereolithographic surgical guides. Methods: The study population consisted of 54 patients who received 216 implants. Computed tomography machine was used for preoperative evaluation of the jawbone for implant therapy as well as determination of the bone density values (Hounsfield units [HU]) of the implantation site. All implant sockets were prepared using 2 different types of stereolithographic surgical guide. Ninety-four implants were installed using the surgical guides (Stentcad Beyond, Ay-Design; Kos-gep, ODTU, Ankara, Turkey) in the mouth, whereas 122 implants were placed after the surgical guides (Stentcad Classic; Kos-gep, ODTU) were removed. Results: The mean bone densities of maxilla and mandible were 561.36 (SD, 229.46) HU and 890.63 (SD, 361.85) HU, respectively. The mean angular deviations between planned and placed implants using Stentcad Classic and Stentcad Beyond surgical guides were 5.32 (SD, 1.96) degrees and 3.73 (SD, 1.14) degrees, respectively. Highly negative correlation was found between the bone density of the placed implant sites and angular deviations in the group in whom implants were installed with freehand. Conclusions: The lower bone density values have resulted in the greater angular deviations in the group, in whom the implants were placed after the surgical guides were removed. This deviation might have been derived from the freehand placement of the implants and the poor quality of the bone.
Queer bodies : sexualities, genders, & fatness in physical education

This book brings together three areas of current public debate - sexuality, gender, and obesity - that will be of interest to curriculum workers, critical educators, physical educators, and professionals working in the areas of health, recreation, and sport. The book provides a critical examination of discrimination based on sexuality, gender, and body size in Canadian physical education. It illustrates how students with queer bodies - whether lesbian, gay, transgendered, or overweight or fat - cope with homophobia, transphobia, and fat phobia in physical education. Drawing from qualitative interviews with forty people, the book reveals how students are marginalized, in a variety of ways, because they do not conform to taken-for-granted ideas about healthy or athletic bodies. Using psychoanalytic, feminist, and queer theories, the book calls for critical educators to work toward ethical encounters with queer bodies in order to address these forms of discrimination in schools, physical education, and sport settings.
Evidence of a founder BRCA1 mutation in Scotland

BRCA1 mutations have been identified in breast and ovarian cancer families from diverse ethnic backgrounds. We studied 17 different families with the BRCA1 2800delAA mutation; seven were ascertained in Scotland (Dundee, Edinburgh, Glasgow, St Andrews), five in Canada (Toronto, Victoria) and five in the United States (Chicago, Philadelphia, Seattle). Overall there was a clear preponderance of Scottish ancestry. Genotype analysis performed on key members from 17 families was consistent with a common haplotype, strongly suggesting a single ancestral origin. A possible link was established between two families by tracing their genealogies through the records of the Registrar General for Scotland. This is the first example of a BRCA1 mutation likely to be derived from a common founder in Scotland. Further studies will be necessary to estimate more accurately the population frequency of the BRCA1 2800delAA mutation among unselected cases of breast and ovarian cancer in Scotland and the UK. © 2000 Cancer Research Campaign
A speech similarity distance weighting for robust recognition

Human listeners not only perform better than machine recognizers at the same signal to noise ratio but are also able to deal with the problems presented by non-stationary noise better. In this paper we describe a series of experiments in which the human ability to select clean segments of speech from a noisy environment is emulated by a machine recogniser. We show that a vector quantiser that incorporates speaker specific information can be used to estimate the similarity between the input signal and speech vector in a codebook and so produce a probabilistic weighting for the distances used in pattern matching. The performance of the probabilistic system is slightly worse with stationary noise than a system using noise-matched models however it is better on non-stationary noise although the matched system has knowledge of the background noise conditions while the probabilistic system has no information about the noise.
Data-driven extraction of drive functions for legged locomotion: A study on Cheetah-cub robot

The process of finding working gaits for legged robots always, to different extents, includes manual tuning, systematic search, or optimization of control parameters. This process populates a dataset of control parameter vectors and respective robot behavior factors, like forward speed. The dataset obtained from a tuning process can include many gaits which share a similar performance in one behavior factor, e.g. speed, but differ in the control parameter vectors used. Our question here is, using the tuning dataset, how a continuous drive function can be calculated which takes the desired behavior, e.g. speed, and maps that to a control parameter vector. If this question is answered properly, then the robot operator (or a higher level controller) will have a single control knob to continuously change the desired behavior factor.
A Microfluidic Approach to Enzyme Linked Immunosorbent Assays

The Enzyme-Linked Immunosorbent Assay (ELISA) is a biochemical technique that is useful for diagnosing disease and infection by detecting antigens/antibodies in a sample. Studying assay design is important in designing an optimal and cost-effective assay which comprises short processing times, small reagent consumption, and portability. The primary objective of this study was to design and test a microfluidic chip to produce a rapid ELISA platform. A microfluidic device integrating six straight channels and six nitrocellulose strips was used as a platform to produce a rapid and semi-qualitative dot ELISA. Typical dot ELISA processing times are on the order of hours, but has been reduced here to 35 minutes. The same six channel microfluidic device with polystyrene strips in place of nitrocellulose strips was explored for its ability to produce a quantitative sandwich ELISA. The device produced indistinguishable results due to high noise levels which are thought to be a result of non-specific binding.
Networked multimedia systems courses: evolution, current courses, and future directions

This paper presents an overview of courses in the evolving discipline of networked multimedia systems (NMS). Many new subjects and some courses on NMS are already on offer at various universities. Most of the current subjects in NMS are offered in existing computer science and computer engineering courses. Some universities are also offering full fledged degree programs in NMS and related areas. NMS area is developing into an independent discipline much quicker than did computer science. Practical work is an important aspect of any NMS subject or course. NMS is a fast developing area, hence the practical exercises and projects must be designed to absorb this fast pace of development. A systematic and forward-looking view of NMS subjects and courses is required to ensure cohesive development in the future.
Learning Through Utility Optimization in Regression Tasks

Accounting for misclassification costs is important in many practical applications of machine learning, and cost-sensitive techniques for classification have been studied extensively. Utility-based learning provides a generalization of purely cost-based approaches that considers both costs and benefits, enabling application to domains with complex cost-benefit settings. However, there is little work on utility- or cost-based learning for regression. In this paper, we formally define the problem of utility-based regression and propose a strategy for maximizing the utility of regression models. We verify our findings in a large set of experiments that show the advantage of our proposal in a diverse set of domains, learning algorithms and cost/benefit settings.
Generalized Local-to-Global Shape Feature Detection Based on Graph Wavelets

Informative and discriminative feature descriptors are vital in qualitative and quantitative shape analysis for a large variety of graphics applications. Conventional feature descriptors primarily concentrate on discontinuity of certain differential attributes at different orders that naturally give rise to their discriminative power in depicting point, line, small patch features, etc. This paper seeks novel strategies to define generalized, user-specified features anywhere on shapes. Our new region-based feature descriptors are constructed primarily with the powerful spectral graph wavelets (SGWs) that are both multi-scale and multi-level in nature, incorporating both local (differential) and global (integral) information. To our best knowledge, this is the first attempt to organize SGWs in a hierarchical way and unite them with the bi-harmonic diffusion field towards quantitative region-based shape analysis. Furthermore, we develop a local-to-global shape feature detection framework to facilitate a host of graphics applications, including partial matching without point-wise correspondence, coarse-to-fine recognition, model recognition, etc. Through the extensive experiments and comprehensive comparisons with the state-of-the-art, our framework has exhibited many attractive advantages such as being geometry-aware, robust, discriminative, isometry-invariant, etc.
Progressive improvement in pulmonary vascular resistance after percutaneous mitral valvuloplasty.

Percutaneous mitral valvuloplasty has been proposed as a nonsurgical technique for treating high-risk patients with mitral stenosis who are deferred from mitral valve replacement. The effect of this technique on patients with pulmonary hypertension, however, has not been fully evaluated. Accordingly, serial assessment of pulmonary vascular resistance was made in 14 patients with critical mitral stenosis and pulmonary hypertension (pulmonary vascular resistance greater than 250 dynes.sec/cm5 or mean pulmonary artery pressure greater than 40 mm Hg or both) who underwent percutaneous balloon dilatation of the mitral valve. Balloon valvuloplasty was performed with either one (n = 10) or two (n = 4) balloons through the transseptal approach, and it resulted in significant improvement in mean mitral gradient (from 18 +/- 4 to 9 +/- 4 mm Hg, p less than 0.001), systemic blood flow (from 3.7 +/- 1.2 to 5.0 +/- 2.2 l/min, p less than 0.001), and calculated mitral valve area (from 0.7 +/- 0.2 to 1.6 +/- 0.7 cm2, p less than 0.001). Immediately after balloon mitral valvuloplasty, pulmonary vascular resistance fell from 630 +/- 570 to 447 +/- 324 dynes.sec/cm5. Repeat catheterization 7 +/- 4 months after valvuloplasty showed further improvement of pulmonary hypertension in 12 of the 14 patients, with a mean pulmonary vascular resistance for the group as a whole of 280 +/- 183 dynes.sec/cm5, p less than 0.005. In two patients, mitral valve restenosis to a mitral valve area less than 1.0 cm2 was associated with a return of pulmonary hypertension to predilatation values. (ABSTRACT TRUNCATED AT 250 WORDS)
A New RBF Neural Network With Boundary Value Constraints

We present a novel topology of the radial basis function (RBF) neural network, referred to as the boundary value constraints (BVC)-RBF, which is able to automatically satisfy a set of BVC. Unlike most existing neural networks whereby the model is identified via learning from observational data only, the proposed BVC-RBF offers a generic framework by taking into account both the deterministic prior knowledge and the stochastic data in an intelligent manner. Like a conventional RBF, the proposed BVC-RBF has a linear-in-the-parameter structure, such that it is advantageous that many of the existing algorithms for linear-in-theparameters models are directly applicable. The BVC satisfaction properties of the proposed BVC-RBF are discussed. Finally, numerical examples based on the combined D-optimality-based orthogonal least squares algorithm are utilized to illustrate the performance of the proposed BVC-RBF for completeness.
Effect of Low Culture Temperature on Specific Productivity and Transcription Level of Anti‐4–1BB Antibody in Recombinant Chinese Hamster Ovary Cells

Lowering the culture temperature has been suggested as a useful tool for improving the production of recombinant proteins in Chinese hamster ovary (CHO) cells. In an effort to improve anti‐4–1BB antibody production in recombinant CHO (rCHO) cells, rCHO cells producing anti‐4–1BB antibody (LGA31–56) were cultivated at three different temperatures, 30, 33, and 37 °C. Lowering the culture temperature led to suppressed cell growth, cell cycle arrest in G0/G1 phase, and improved cell viability for a longer period. However, antibody production and qAb were not increased at low culture temperature. The maximum antibody concentration and qAb at 37 °C were 110.6 ± 2.6 μg mL‐1 and 0.43 ± 0.03 μg (106 cells h)‐1, respectively, whereas those at 30 °C were 28.3 ± 3.8 μg mL‐1 and 0.44 ± 0.07 (106 cells h)‐1, respectively. Northern blot analysis revealed that lowering the culture temperature did not increase the transcription level of heavy and light chains. These results were quite in contrast with the improved production of erythropoietin, which is expressed in the same CHO host and driven by the same CMV promoters, by lowering the temperature. Taken together, the results obtained imply that the beneficial effect of low culture temperature on recombinant protein production in rCHO cells is cell‐line‐specific.
Stress test for relative clauses

A brief overview on the semantic differences between restrictive and non-restrictive relative clauses is given. Subsequently differences with regard to information status and focus alternatives are presented. I investigate, in a systematic way, which focus (accent) patterns on relative-clause constructions are (im)possible in which contexts and why this is so. In order to account for the infelicity of certain restrictive relative clause constructions a new proposal is made how to derive the contrastive properties of complex definite descriptions (focus phrases) involving relative clauses. The account presented in this paper gives rise to predictions on intonational phonology and sentence processing.
Sustained Release of Triamcinolone Acetonide from an Intratympanically Applied Hydrogel Designed for the Delivery of High Glucocorticoid Doses

The pharmacokinetic properties and tolerability of a triamcinolone acetonide poloxamer 407 hydrogel for intratympanic application were investigated in a guinea pig model. Evaluation of in vivo release kinetics showed very high initial perilymph drug levels, with clinically relevant levels present for a minimum of 10 days. Assessment of auditory brainstem response thresholds showed a minimal, delayed and transient threshold shift, which was apparent on day 3 and resolved by day 10. No relevant histological changes of the middle and inner ear structures were noted, and hair cell counts showed no significant differences between treated and untreated ears. Thus, the triamcinolone-acetonide-loaded poloxamer 407 hydrogel is an effective vehicle for sustained high-dose inner ear glucocorticoid delivery.
Robust fault detection observer in Wireless Networked Control Systems

This paper investigates the design of a robust fault detection observer for Wireless Networked Control Systems (WNCS) subject to random packet delays introduced by the wireless communication networks. The concept of input-delay analysis is adopted for analyzing the impacts of the packet delay on the residual generation, and a robust observer design and optimization method is proposed to improve the robustness of fault detection against the network induced delay. For the purpose of realistic simulation, a mixed simulation is carried out, where the control system is simulated in MATLAB and the network-induced delays are achieved by simulating an IEEE 802.11b wireless network at the recently developed OMNeT++ platform. The simulation results validate the proposed robust fault detection observer design approach.
Amygdala norepinephrine levels after training predict inhibitory avoidance retention performance in rats

Previous findings indicate that footshock and several drugs that modulate memory consolidation alter norepinephrine (noradrenaline) release in the amygdala, as assessed by in vivo microdialysis and high‐performance liquid chromatography. Such findings suggest that norepinephrine release in the amygdala may be critical for regulating memory consolidation. The present study was the first to examine the relationship between norepinephrine release in the amygdala assessed after inhibitory avoidance training and 24‐h retention performance within individual animals. Norepinephrine levels increased to > 300% of pretraining baseline 30 min after training and remained elevated for 2 h. In individual rats, the increase in norepinephrine levels after training correlated highly with 24‐h retention performance. These findings indicate that the degree of activation of the noradrenergic system within the amygdala in response to a novel, emotionally arousing experience predicts the extent of long‐term memory for that experience.
A study of a couple with type 2 diabetes: dyadic adjustment and psychological morbidity.

OBJECTIVE this study assessed dyadic adjustment and psychological morbidity in type 2 diabetic patients and their partners, focusing on the role of gender. METHODS 214 diabetic patients and their partners participated in the cross-sectional study and were assessed on psychological morbidity (HADS) and marital adjustment (RDAS). Data was analyzed using dyadic analysis, a statistical process that studies the patient/partner dyads simultaneously. RESULTS results revealed that the negative relationship between dyadic adjustment and psychological morbidity in female patients was stronger than in male diabetic patients or in partners of male diabetic patients. On the other hand, the relationship between dyadic adjustment and psychological morbidity in partners of diabetic men was stronger than the same relationship in partners of diabetic women. CONCLUSION since gender is a moderator, it is important to attend to the different needs of female and male patients and the education of diabetic patients should be centered on the patient/partner dyad.
“Striving for a Good Life” – The Management of Rheumatoid Arthritis as Experienced by Patients

Aim To generate a theoretical model how patients experience their management of rheumatoid arthritis (RA) in everyday life. Method An explorative design with the grounded theory approach was used by interviewing 16 informants with RA. Results The generated theoretical model emerged in a core category- Striving for a good life with two categories; making use of personal resources and grasping for support from others, which formed the base of managing RA. When relating these categories together, four dimensions emerged which characterised patients’ different ways of managing RA: mastering, relying, struggling and being resigned. Discussion The management of RA incorporated the use of personal resources and the grasping for support from others. Both self-management strategies and patients’ need of support were highlighted as aspects that were of importance when managing RA. Patients’ experiences of their need of support to manage RA give extended knowledge that is of importance for nurses and other healthcare providers. The relationship between patients and healthcare providers is always the key to a good encounter. Interventions to increase self-management in RA have to incorporate this knowledge when trying to increase patients’ self-efficacy and with their experience of support.
Classification of K-Pop Dance Movements Based on Skeleton Information Obtained by a Kinect Sensor

This paper suggests a method of classifying Korean pop (K-pop) dances based on human skeletal motion data obtained from a Kinect sensor in a motion-capture studio environment. In order to accomplish this, we construct a K-pop dance database with a total of 800 dance-movement data points including 200 dance types produced by four professional dancers, from skeletal joint data obtained by a Kinect sensor. Our classification of movements consists of three main steps. First, we obtain six core angles representing important motion features from 25 markers in each frame. These angles are concatenated with feature vectors for all of the frames of each point dance. Then, a dimensionality reduction is performed with a combination of principal component analysis and Fisher’s linear discriminant analysis, which is called fisherdance. Finally, we design an efficient Rectified Linear Unit (ReLU)-based Extreme Learning Machine Classifier (ELMC) with an input layer composed of these feature vectors transformed by fisherdance. In contrast to conventional neural networks, the presented classifier achieves a rapid processing time without implementing weight learning. The results of experiments conducted on the constructed K-pop dance database reveal that the proposed method demonstrates a better classification performance than those of conventional methods such as KNN (K-Nearest Neighbor), SVM (Support Vector Machine), and ELM alone.
An overview of IEEE 802.15.6 standard

Wireless Body Area Networks (WBAN) has emerged as a key technology to provide real-time health monitoring of a patient and to diagnose and treat many life threatening diseases. WBAN operates in close vicinity to, on, or inside a human body and supports a variety of medical and non-medical applications. IEEE 802 has established a Task Group called IEEE 802.15. 6 for the standardization of WBAN. The purpose of the group is to establish a communication standard optimized for low-power in-body/on-body nodes to serve a variety of medical and non-medical applications. This paper explains the most important features of the new IEEE 802.15. 6 standard. The standard defines a Medium Access Control (MAC) layer supporting several Physical (PHY) layers. We briefly overview the PHY and MAC layers specifications together with the bandwidth efficiency of IEEE 802.15. 6 standard. We also discuss the security paradigm of the standard.
Detecting the presence of nodes in MANETs

While mobility in the sense of node movement has been an intensively studied aspect of mobile ad-hoc networks (MANETs), another aspect of mobility has not yet been subjected to systematic research: nodes may not only move around but also enter and leave the network. In fact, many proposed protocols for MANETs exhibit worst-case behavior when an intended communication partner is currently not present. Therefore, knowing whether a given node is currently present in the network can often help to avoid unnecessary overhead. In this paper, we present a solution to the presence detection problem. Our method uses a Bloom filter-based beaconing mechanism to aggregate and distribute information about the presence of network nodes. Analytical and simulation results show interesting properties of presence detection in wireless multihop environments and underline the effectiveness and practical applicability of our approach.