Miracle-dz/UniFAR-FTUs huggingface dataset:
Sedation With Dexmedetomidine During Lymphangiography and Thoracic Duct Embolization in an Elderly Man

An 83-year-old man underwent cervical esophagectomy and developed a chylothorax as a postoperative complication. We decided to perform lymphangiography and thoracic duct embolization for chylous leakage, but it was expected to be challenging to maintain bed rest. Therefore, dexmedetomidine was administered for procedural sedation. The patient’s blood pressure and heart rate were mostly stable during the procedure, and the sedation level was maintained within the desired limits. Due to its specific sedative pattern and mild analgesic effect, Dexmedetomidine is suitable for procedural sedation in various painless interventional radiology procedures, such as lymphangiography and thoracic duct embolization. Therefore, it may be the best sedative for the elderly and should be widely and effectively used in interventional radiology.
Temperature dependence of grain-scale slip behavior of muscovite and implications for subduction zone seismogenesis

Despite extensive work on the frictional or plastic strength of muscovite gouge, little is known about grain-scale processes controlling muscovite sliding. In this study we perform direct shear experiments on two muscovite crystals, shearing them parallel to their interface formed by the (001) plane, at 150°, 500° and 600°C. We conducted pressure stepping tests (270 – 170 MPa) and velocity stepping tests (0.1-10 μ m/s), to provide constraints on muscovite single crystal rheology. The crystallographic orientation of the crystals was controlled to either inhibit dislocation glide, (shear parallel to the [010] direction) or to enhance dislocation glide (shear parallel to the [100] direction). It is found that the strength of muscovite single crystals at these conditions is pressure sensitive ( μ = 0.055 – 0.12), rate-dependent in a velocity strengthening sense and inclined to weaken with temperature. This illustrates a pronounced difference from sliding behavior reported in studies on muscovite gouge. Microstructural analysis implies dislocation glide to be strongly affected by temperature as well as shear direction, although more work seems needed to be conclusive on the mechanical implications of this. The friction coefficient for sliding on the (001) interface between the individual crystals tested, lies in the range of 0.055 (sliding in the [100] direction) to 0.12, (sliding in the [010] direction). It is tentatively concluded that muscovite single crystals, at the range of temperatures described in this study, consistently deform through a combination of crystal plastic and frictional processes, where strength is mostly controlled by grain boundary friction. Finally, it is noted that the frictional strength of muscovite single crystals might have previously been overestimated in studies on crustal strength. The present results might therefore have important implications for studies considering crustal strength and hence seismogenesis.
Comparative aspectsof placental efficiency

Litter size is often proposed as the trait that could have the greatest impact in improving reproductive efficiency of pigs. Efforts to select directly for increased litter size have generally been unsuccessful and highly variable. As a result, several attempts have been made to identify critical physiological components that control litter size, with the underlying assumption that augmenting these components would improve this important trait. One attempt at improving physiological components has involved the selection of animals for increased uterine capacity, as measured by the number of fetuses or piglets that a female can carry successfully to term. Recent evidence indicates that one critical component of the uterine capacity in pigs is placental efficiency, or the body weight of a piglet divided by the mass of its placenta. It is easy to determine the average placental efficiency in a litter, but variation among conceptuses within a litter for this trait can be substantial, leading to the conclusion that placental efficiency is an individual conceptus trait. It is suggested that the limited success of selection for an increased uterine capacity results, at least in part, from a misguided view that 'uterine capacity' is strictly a maternal trait. Uterine capacity is better defined as the mass of placental tissue that a pregnant female can support to term, and involves phenotypic variation in both the dam and her offspring. This definition of uterine capacity allows maximization of both uterine size and placental efficiency in future attempts to increase litter size in pigs.
Genetic‐based EM algorithm to improve the robustness of Gaussian mixture models for damage detection in bridges

During the service life of bridges, the bridge management systems (BMSs) seek to handle all performed assessment activities by controlling regular inspections, evaluations, and maintenance of these structures. However, the BMSs still rely heavily on qualitative and visual bridge inspections, which compromise the structural evaluation and, consequently, the maintenance decisions as well as the avoidance of bridge collapses. The structural health monitoring appears as a natural field to aid the bridge management, providing more reliable and quantitative information. Herein, the machine learning algorithms have been used to unveil structural anomalies from monitoring data. In particular, the Gaussian mixture models (GMMs), supported by the expectation‐maximization (EM) on the parameter estimation, have been proposed to model the main clusters that correspond to the normal and stable state conditions of a bridge, even when it is affected by unknown sources of operational and environmental variations. Unfortunately, the performance of the EM algorithm is strongly dependent on the choice of the initial parameters. This paper proposes a hybrid approach based on a standard genetic algorithm (GA) to improve the stability of the EM algorithm on the searching of the optimal number of clusters and their parameters, strengthening the damage classification performance. The superiority of the GA‐EM‐GMM approach, over the classic EM‐GMM one, is tested on a damage detection strategy implemented through the Mahalanobis‐squared distance, which permits one to track the outlier formation in relation to the chosen main group of states, using real‐world data sets from the Z‐24 Bridge, in Switzerland. Copyright © 2016 John Wiley & Sons, Ltd.
Subseafloor Microbial Communities in Methane Hydrate-Bearing Sediment at Two Distinct Locations (ODP Leg204) in the Cascadia Margin

The prokaryotic communities in deep subseafloor sediment collected during Ocean Drilling Program (ODP) Leg 204 from the South Hydrate Ridge (SHR) on the Cascadia Margin were analyzed by 16S rRNA gene clone sequencing and a fluorescent quantitative PCR technique. The microbial communities came from sites with contrasting geological characteristics on the SHR: sites 1244 and 1245 (located on the flank of the ridge, hydrate-rich sediment) and site 1251 (located on the slope basin of SHR, hydrate-poor sediment). The overall copy numbers of the 16S rRNA gene, and the proportion of archaeal 16S rRNA gene in all 16S rRNA gene community in sediment were larger on the slope basin than on the flank of the SHR. Archaeal community structure around the sulfate-methane transition zone at site 1251 (4.5 mbsf) was intensively investigated using two different PCR primer sets. A relatively abundant distribution of the 16S rRNA gene sequences related to mesophilic methanogen of the genus Methanoculleus was identified at a depth of 43.2 mbsf, and suggested that the methanogens occur in relatively shallow zones of sediment. This study demonstrated that the subseafloor microbial communities shown by 16S rRNA gene clone analyses were not directly associated with subseafloor methane hydrate deposits.
Interfacial reactions between Sn-based solders and common metallisations used in electronics

During their lifetimes the electrical interconnections of portable electronic devices are subjected to high thermal, mechanical, chemical, and electrical loadings, and therefore the metallurgical compatibility between solder alloys and component pad metallisations has become ever more essential from the point of view of interconnection reliability. For this reason, the mechanisms of interfacial reactions are studied in this thesis by making use of thermodynamic calculations together with diffusion kinetic considerations and microstructural analyses. The formation of interfacial intermetallic compounds is investigated experimentally by using solid|liquid and solid|solid diffusion couples of several binary and ternary member systems. These systems include the most important metals used in electronics, tin (Sn), copper (Cu), nickel (Ni), silver (Ag), and gold (Au). The effects of additional elements such as P, Fe, Zn, and Ti on the growth kinetics and defect structures of interfacial intermetallics are also investigated. It is shown that the main factors affecting the thickness and morphology of interfacial intermetallic compounds in soldering are: i) the solubilities and, consequently, the dissolution rates of solid metals in liquid solders; ii) local equilibria and their changes as a function of time and temperature, and iii) the chemical reactions at the supersaturated liquid solder interfaces. The experimental results from isothermal aging at elevated temperatures demonstrate that alloying elements and impurities can change the microstructural evolution of solder interconnections drastically and thus diminish their mechanical integrity. The thermodynamic-kinetic approach, together with detailed microstructural observations, proved to be a very useful tool when studying the interfacial intermetallic reactions, as well as the evolution of solder interconnection microstructures, during longterm aging at elevated temperatures.
Wide Area Analysis and Application in Power System

Frequency monitoring network (FNET) is an Internet based GPS synchronized wide-area frequency monitoring network deployed at distribution level. It is a very important tool to realize wide area analysis in power system. At first part of this thesis, FNET structure and characteristics are introduced. After analysis and smoothing FDR signals, thesis presents the algorithm of event trigger and triangulation algorithm estimation of disturbance. Event trigger is based on the DF/DT between points of FDR. And the threshold of DF/DT is also presented. And illustrate the multiply method to calculate event time, which is important when deal with pre-disturbance frequency in time delay of arriving or TDOA part. Estimation of disturbance location method is discussed based on the TDOA in the second part of this work and prove that Time Delay of Arrival is a good algorithm for estimation event location proved by real cases. Next this thesis shows the detailed programming of these two DLL applications. The purpose of developing DLL modules is for convenience of use. The code of event trigger application as well as its interface is presented. And the interface of DLL module and the key word to import and export DLL variables and function is described. It also presents the work of triangulation module in Visual C++ and its main functions. There are two demonstrations of applying DLL applications. The demonstrations shown how to load and use DLL, as well as the requirements of applications. In the last part, PSS compensation optimization with a set of nonlinear differential algebraic equations (DAE) is introduced in detail. With the optimization theory, the
Total Quality Management in Sport Industry•õ

Because sport management is a new field, teachers and practitioners on both sides of the Pacific have not yet fully grasped the essence of sport management, and under stood what constitutes total quality in our field. Therefore, I am encouraged to present my views on the subject. Now to the task at hand. Let me begin with a classification of sport services which I had presented earlier (Chelladurai, 1994). After describing that classification scheme, I will present and discuss several concepts of quality in services, and their relevance. Finally, I will suggest that improving the quality of our services is a fundamental social responsibility because our activities have a direct bearing on the quality of life of our clients. Quality of life is a growing concern of all societies, especially those in industrialized nations such as Japan and America. The field of sport management deals with different products and different indus tries. Therefore, the best way to define our field is to catalogue and describe the various products of our field. This approach is con sistent with the modern view that (a) all organizations are mechanisms that have evolved to facilitate the process of exchange of products, and (b) the types of organ izational arrangements needed to support any particular exchange will depend on the inher ent characteristics of the exchange (Hesterly, Liebeskind, & Zenger, 1990). As I had noted elsewhere, "if we can define, describe, and classify the products of exchange within the context of sport, then we should be able to capture the essential nature of the field and its boundaries" (Chelladurai, 1994, p.8). Based on this view, I defined sport manage ment as "a field concerned with the coordina tion of limited human and material resources, relevant technologies, and situational contin gencies for the efficient production and exchange of sport services" (p.15). This definition incorporates the notions of (a) sport products (services), (b) the production and exchange of those products, and (c) the coordination of the processes of such produc tion and exchange. Let me elaborate on these three elements. Our interest now is in the classification of sport products, and the qual ity concerns associated with those products.
Towards an Enhanced Arabic Text Classification Using Cosine Similarity and Latent Semantic Indexing

: Cosine similarity is one of the most popular measures in text classification problems. In this paper, we use this important measure to investigate the performance of Arabic language text classification. Vector space model (VSM) is generally used as a model to represent textual information as features vectors. However, Latent Semantic Indexing (LSI) is a better textual representation technique as it maintains semantic information between the words. Hence, we use the singular value decomposition (SVD) method to extract text features based on LSI. In our experiments, we conduct a comparison between the cosine similarity and some of the well-known classifiers such as Naïve Bayes, k-Nearest Neighbors, Neural Network, Random Forest, Support Vector Machine, and classification tree. We use a corpus that contains 4,000 documents of ten topics (400 document for each topic). The corpus contains 2,127,197 words with about 139,168 unique words. The testing set contains 400 documents, 40 documents for each topics. As a weighing scheme, we use Term_Frequency. Inverse_Document_Frequency (TF.IDF). This study reveals that LSI-based features significantly outperforms the TF.IDF-based features using cosine similarity measure. It also reveals that cosine similarity measure outperforms most of the investigated classifiers; however, support vector machine (SVM) was found not-significantly outperforms the cosine measure.
Anti-nutrients, Bioaccessibility and Mineral Balance of Cookies Produced from Processed Sesame Seed Flour Blends

Sesame seed was processed into flour using five different processing methods such as defatting, cooking, roasting, germination and fermentation. The processed sesame seed flour was substituted to wheat flour at 4 levels (5, 10, 15 and 20%) with other ingredients to produce cookies. Effect of processing methods on anti-nutritional content of the flour blends, total mineral contents, in-vitro mineral bioaccessibility and mineral balance of the produced cookies were determined. Result revealed that raw sesame seeds had anti-nutrient values of 1.21mg/100g, 87.47mg/100g and 29.45mg/100g for phytate, oxalate and total phenol, respectively while processing methods revealed a significant reduction (P<0.05) in the values of these anti-nutrients that were analysed. In terms of the total mineral, calcium, magnesium and iron content of the cookies ranged from 2220.95 – 2916.9mg/100g, 257.219 – 278.587mg/100g and 30.573 – 45.550mg/100g, respectively. Percentage mineral bioaccessibility ranged from 40.60 – 97.856%, 15.077 – 92.144%, 25.054 – 97.677%, 2.542 – 89.815% and 25.13 – 98.817% for Zn, Cu, Ca, Mg and Fe, respectively. Bioaccessibility of minerals in the cookies samples increased significantly (P<0.05) with increased percentage substitution of cooked, roasted and fermented sesame seed flour samples. Cookies with 5% fermented sesame seed flour recorded high percentage bioaccessible zinc and magnesium of 97.856% and 97.907%, respectively. Mineral balance of the cookie samples ranged from 2.144 – 59.399%, 7.856 – 86.336%, 2.32 – 74.946%, 39.955 – 97.548 and 3.759 – 74.87% for Zn, Cu, Ca, Mg and Fe, respectively.
Human Error Assessment and Reduction Technique (HEART) and Human Factor Analysis and Classification System (HFACS)

Research results have shown that more than half of aviation, aerospace and aeronautics mishaps incidents are attributed to human error. As a part of Quality within space exploration ground processing operations, the identification and or classification of underlying contributors and causes of human error must be identified, in order to manage human error.This presentation will provide a framework and methodology using the Human Error Assessment and Reduction Technique (HEART) and Human Factor Analysis and Classification System (HFACS), as an analysis tool to identify contributing factors, their impact on human error events, and predict the Human Error probabilities (HEPs) of future occurrences. This research methodology was applied (retrospectively) to six (6) NASA ground processing operations scenarios and thirty (30) years of Launch Vehicle related mishap data. This modifiable framework can be used and followed by other space and similar complex operations.
Hybrid Analytical-Statistical Modeling for Efficiently Exploring Ar chitecture and Workload DesignSpaces

Microprocessordesigntime and effort are getting impractical dueto the huge numberof simulationsthat need to be done to evaluate various processorconfigurations for various workloads. An early designstage methodology could be usefulto efficiently cull huge designspaces to identify regionsof interest to be further explored using more accurate simulations. In this paper, we presentan early designstage methodthat bridges the gap between analyticalandstatisticalmodeling. Thehybrid analyticalstatisticalmethodpresentedhere is basedon the observation that register traffic characteristicsexhibit power law propertieswhich allowsusto fully characterizea workload with justa few parameter swhich is much moreefficientthan the collection of distributions that needto be specifiedin classicalstatisticalmodeling. We evaluatetheapplicability andtheusefulnessof this hybrid analytical-statisticalmodeling techniqueto efficiently and accurately cull huge architectural designspaces.In addition,wedemonstr atethat thishybridanalytical-statisticalmodelingtechniquecanbe usedto explore theentire workloadspaceby varyingjust a few workloadparameter s.
Estrogen Regulation of Adiposity and Fuel Partitioning EVIDENCE OF GENOMIC AND NON-GENOMIC REGULATION OF LIPOGENIC AND OXIDATIVE PATHWAYS *

Menopause is associated with increased adiposity and greater risk of metabolic disease. In the ovariectomized (OVX) rodent model of menopause, increased adiposity is prevented by estrogen (E2) replacement, reflecting both anorexigenic and potentially metabolic actions of E2. To elucidate metabolic and molecular mechanisms by which E2 regulates fat storage and fat mobilization independently of reduced energy intake, C57 BL/6 mice were ovariectomized,randomizedtoestrogen(OVX-E2)orcontrolpellet implants (OVX-C), and pairfed for 40 days. E2 treatment was associated with reduced adipose mass and adipocyte size and down-regulation of lipogenic genes in adipocytes under the control of sterol-regulatory element-binding protein 1c. Adipocytes of OVX-E2 mice contained > 3-fold more perilipin protein than adipocytes of pairfed control (OVX) mice, and this difference was associated with enhanced ex vivo lipolytic response to catecholamines andwithgreaterlevelsofserum-freefattyacidsfollowingfasting.As in adipose
Effects of counterirritation on experimentally produced itching1

The sensation of itch, like that of pain, is one of the most important cutaneous sensations which warns us of noxious stimuli, however the mechanism of its genesis has not yet been clearly understood. In recent years, especially in the United States, the psychoand neurophysiological researches of pain is increasing, and itch is regarded the cutaneous sensation most closely related to pain (Hardy, Wolff, & Goodell, 1952; Melzack & Casey, 1968; Murray & Weaver, 1975). So far as the authors know, this is the only psychological study of its kind here-to-fore made in Japan with the single exception of Yoshida (1931) who did pioneer research on itching using electrical stimulation. According to a review of the researches on itching (Shelly & Arthur, 1957), itching has been produced by the following methods; (a) electrical stimulation, (b) thermal stimulation, (c) mechanical stimulation (e.g., using a bristle and a fine tungsten wire), (d) chemical stimulation (e.g., by histamine injection and application of cowage). For psychological experiment, cowag (mucuna pruriens) has been used frequently because of the ease of application and the durability of itch. Cowage is a tropic bean with fine hairlike spicules on its pod which produce itching by releasing a histamine liberator (Broadbent, 1953). As for the mutual interaction of itch with other cutaneous sensations, Hardy et al. (1952) found that both spontaneous itch and itch produced by cowage were reduced by a series of light pin pricks on the itchy area. Melzack and Schecter (1965) reported that itching produced by application of cowage to the wrist was reduced in intensity by a 60-Hz vibration to the opposite wrist. This study was supported by Grant-in-Aid for