Miracle-dz/UniFAR-FTUs huggingface dataset:
MULTIFACTORIAL MODULATION OF THE BLOOD-BRAIN BARRIER: RELATIONSHIP TO STROKE

s and Presentations 1. Zhang B, Choi JJ, Eum SY, Toborek M. TLR4-mediated signaling is involved in PCB153-NP-induced cerebrovascular toxicity in the experimental stroke model. NIEHS Superfund Research Program 25th Annual Meeting, October 21-24, 2012,
Brood stock segregation of spring chinook salmon Oncorhynchus tshawytscha by use of the enzyme-linked immunosorbent assay (ELISA) and the fluorescent antibody technique (FAT) affects the prevalence and levels of Renibacterium salmoninarum infection in progeny

A study of the effect of maternal Renlbactenum salmoninarum infection levels on the prevalence and levels of bacterial ludney disease (BKD) in progeny fish was conducted at a production salmon hatchery A total of 302 mating pairs of spring chinook salmon Oncorhyncllus tshawytscha was screened in August 1988 for R salmoninarum by an enzyme-linked immunosorbent assay (ELISA) On the b a s ~ s of ELISA testing of kidney tissues from all fish and the testing of ovanan fluid samples from a subsample of the females by a direct membrane filtration fluorescent antibody technique (MF-FAT), selected egg lots were segregated into 2 groups of 30 egg lots or about 135 000 eggs each One group contained egg lots from male and female parents that had low R salmon~narum infection levels or tested negative for R salmonlnarunl (low-BKD group) and the other group contained egg lots from female parents w t h relatively high R salmoninarum infection levels and male parents with various infection levels (high-BKD group) The progeny groups were maintamed m separate reanng units supphed with untreated nver water and were monitored for R salmonlnarum by the ELISA until they were released from the hatchery in April 1990 Total mortahty of the juvenile fish was higher (p = 0 0001) in the highBKD group (20 %) than in the low-BKD group (10 %) Mortality in the high-BKD group was highest after the fish were moved from nursery tanks to raceways and clinical BKD became evident in this group During the 11 mo of raceway reanng mortality in the high-BKD group was 17 O/O compared with 5 O/O for the low-BKD group An ELISA analysls of smolts lust before release showed an R salmoninarum infection rate of 85 % in the high-BKD group and 62 % in the low-BKD group Of the posltive fish 98 % in the low-BKD group and 55 in the high-BKD group had low infection levels, whereas 36 O/O in the high-BKD group and only 1 O/O in the low-BKD group had high infection levels The results of this research suggest that segregation of brood stock by the ELISA and the MF-FAT can be used to reduce the prevalence and levels of BKD in hatchery-reared sprlng chinook salmon even in locat~ons with open water supplies
Sensorless control of synchronous reluctance motors considering the stator iron loss with extended Kalman filter

This paper presents a position sensorless control of synchronous reluctance motor (SynRM) considering the stator iron loss with the extended Kalman filter (EKF). The EKF estimates the rotor position and speed of the SynRM. The EKF is developed based on the both the voltage equation considering the stator iron loss and dynamic equation of SynRM. The validity of the proposed method is confirmed by experiment results.
The Relative Importance Sector and Regional Factors in Italy A Paper Presented at the 12 th Annual European Real Estate Society ( ERES ) Meeting Dublin , June 2005

The benefits of sector and regional diversification have been well documented in the literature but have not previously been investigated in Italy. In addition, previous studies have used geographically defined regions, rather than economically functional areas, when performing the analysis even though most would argue that it is the economic structure of the area that will lead to differences in demand and hence property performance. This study therefore uses economically defined regions of Italy to test the relative benefits of regional diversification versus sector diversification within the Italian real estate portfolio. To examine this issue we use constrained cross-section regressions the on the sector and regional affiliation of 14 cities in Italy to extract the “pure” return effects of the different factors using annual data over the period 1989 to 2003. In contrast, to previous studies we find that regional factors effects in Italy have a much greater influence on property returns than sectorspecific effects, which is probably a direct result of using the extremely diverse economic regions of Italy rather than arbitrary geographically locations. Be that as it may, the results strongly suggest that that diversification across the regions of Italy used here is likely to offer larger risk reduction benefits than a sector diversification strategy within a region. In other words, fund managers in Italy must monitor the regional composition of their portfolios more closely than its sector allocation. Additionally, the results supports that contemporary position that ‘regional areas’ based on economic function, provide greater diversification benefits rather than areas defined by geographical location.
Global dayside ionospheric uplift and enhancement associated with interplanetary electric fields

[1] The interplanetary shock/electric field event of 5–6 November 2001 is analyzed using ACE interplanetary data. The consequential ionospheric effects are studied using GPS receiver data from the CHAMP and SAC-C satellites and altimeter data from the TOPEX/Poseidon satellite. Data from ∼100 ground-based GPS receivers as well as Brazilian Digisonde and Pacific sector magnetometer data are also used. The dawn-to-dusk interplanetary electric field was initially ∼33 mV/m just after the forward shock (IMF BZ = −48 nT) and later reached a peak value of ∼54 mV/m 1 hour and 40 min later (BZ = −78 nT). The electric field was ∼45 mV/m (BZ = −65 nT) 2 hours after the shock. This electric field generated a magnetic storm of intensity DST = −275 nT. The dayside satellite GPS receiver data plus ground-based GPS data indicate that the entire equatorial and midlatitude (up to ±50° magnetic latitude (MLAT)) dayside ionosphere was uplifted, significantly increasing the electron content (and densities) at altitudes greater than 430 km (CHAMP orbital altitude). This uplift peaked ∼2 1/2 hours after the shock passage. The effect of the uplift on the ionospheric total electron content (TEC) lasted for 4 to 5 hours. Our hypothesis is that the interplanetary electric field “promptly penetrated” to the ionosphere, and the dayside plasma was convected (by E × B) to higher altitudes. Plasma upward transport/convergence led to a ∼55–60% increase in equatorial ionospheric TEC to values above ∼430 km (at 1930 LT). This transport/convergence plus photoionization of atmospheric neutrals at lower altitudes caused a 21% TEC increase in equatorial ionospheric TEC at ∼1400 LT (from ground-based measurements). During the intense electric field interval, there was a sharp plasma “shoulder” detected at midlatitudes by the GPS receiver and altimeter satellites. This shoulder moves equatorward from −54° to −37° MLAT during the development of the main phase of the magnetic storm. We presume this to be an ionospheric signature of the plasmapause and its motion. The total TEC increase of this shoulder is ∼80%. Part of this increase may be due to a “superfountain effect. ” The dayside ionospheric TEC above ∼430 km decreased to values ∼45% lower than quiet day values 7 to 9 hours after the beginning of the electric field event. The total equatorial ionospheric TEC decrease was ∼16%. This decrease occurred both at midlatitudes and at the equator. We presume that thermospheric winds and neutral composition changes produced by the storm-time Joule heating, disturbance dynamo electric fields, and electric fields at auroral and subauroral latitudes are responsible for these decreases.
A method for robust adaptation of the configuration of distributed sensor fields

We illustrate an approach for adapting the configuration of surveillance-based distributed sensor fields. By using a robust method of centralized adaptation of the field configuration, the performance of distributed sensor fields can be greatly extended. This extension can be in terms of improved performance due to new local knowledge of the environment, improvement to compensate for individual sensor node failures, and improvement due to changes in the operational goal. In all of these situations, it is crucial to adapt only in a manner that is consistent with the performance intent of the original deployment strategy. In this paper, we use the concept of Pareto optimality (that is, the achievement of desired tradeoffs between competing objectives) as a mechanism for describing the intent of the original deployment. We then illustrate a computational approach to adaptation of the field configuration that can be performed to maintain this intent in the presence of a variety of sources of field degradation. Numerical examples are shown that illustrate this effect using a sparse sensor network that is designed for providing surveillance coverage of nonhomogeneous environments. We conclude with an analysis of the stability properties of this adaptation procedure, along with guidelines for its use in practical systems.
Development of Premium Connection "KSBEAR" for Withstanding High Compression, High External Pressure, and Severe Bending *

For the connection of oil well tubes used in increasingly severer environments, special screw joints equipped with metal-to-metal seals, excellent in resistance to leakage, are generally used. However, there are increasing in number, stricter oil well designs whereto screw joints of conventional properties have bacome inapplicable any longer. Under the circumstances, oil well screw joints, having anti-leakage property, bearable specifically in an environment of the burdens of compression, external pressure and bending have become strongly demanded. To satisfy the above-described demands of customers, Kawasaki Steel has developed "KSBEAR", substantially exceeding the properties of conventional tubular joints. Through the unique advanced design concept of a new screw thread, the development of a screw joint outstandingly surpassing the level of API Class 1 has been achieved.
VALIDATED RP-HPLC METHOD FOR THE ESTIMATION OF IRBESARTAN IN BULK AND TABLET DOSAGE FORM

A simple, selective, linear, precise and accurate RP-HPLC method was developed and validated for rapid assay of irbesartan in bulk and tablet dosage form. Isocratic elution at a flow rate of 0.8mL/min was employed on a Symmetry C8 (150x4.6mm I.D., 5m particle size) at ambient temperature. The mobile phase consisted of buffer (0.01M sodium dihydrogen orthophosphate, pH was adjusted to 3.0 with orthophosphoric acid): acetonitrile (50:50v/v). The UV detection wavelength was 209nm and 20μL of sample was injected. The retention time for irbesartan was 4.121min. The % recovery was within the range between 98.3% and 101.4%. The percentage RSD for precision and accuracy of the method was found to be less than 2%. The method was validated as per the ICH guidelines. The method was successfully applied for routine analysis of irbesartan in bulk samples and its formulations.
Recognition of Human Poses Using Pictorial Structures

Human pose recognition is an important problem in the computer vision domain. Pose recognition can be used as a basis for surveillance, human computer interaction and motion analysis systems, provided recognition is done reliably and efficiently. A 2D approach with explicit shape model is used in this work. More specifically, we consider a probabilistic model called pictorial structure, which can be also viewed as a Bayesian network. The model defines a posterior probability distribution over human poses given an input image. For any given image we sample full body configurations from the posterior distribution in an efficient way. Sampled configurations are then ordered according to their posterior probabilities. The final scoring of body poses and the best candidate selection is a challenging problem of its own and is not considered in this work. We extended and improved the pictorial structure model in a few ways. The underlying body part appearance model received much attention in this work. The pictorial structure model was analyzed as a model for human pose recognition and as a classifier between person presence and non-presence. Experimental results suggest that the pictorial structure model is a good alternative for human pose recognition in real-world images.
Machine intelligence for robotics applications

The purpose of this paper is to review research in machine intelligence ongoing at the Center for Engineering Systems Advanced Research (CESAR). As a result of initial experimentation with our HERMIES-I mobile robot, hardware and software upgrades were implemented which enable fully asynchronous sonar operation, improved stepper motor control for the sensory platform, and more reliable wheel drive control. The current system, designated as HERMIES-II, is discussed. Successful demonstration of dead-reckoning navigation and the development of a sensor-based exploration and discovery algorithm which can now handle typical maze problems are reported. The development of HERMIES ''brain'' as a hypercube ensemble machine with concurrent computation and associated message passing is described. Algorithms for mapping precedence-constrained task graphs onto a hypercube yield results with high efficiency and proper load balance. A framework for a hybrid uncertainty analysis theory for decision making is described.
Optimize OpenFOAM from the Compiler Perspective

OpenFOAM is a widely used open source computational fluid dynamics (CFD) , and the performance of its application is critical for the CFD user, and many researchers try to optimize it from various perspectives. In this paper, we try to optimization OpenFOAM application from the compiler perspective, which is the simplest way to get the optimization affect. We compare two mainstream compilers: Intel compiler icc and an open source compiler, as well as a serious of optimization option flags. Through the experiment, we find that Intel compiler has a much better performance than gcc, which is up to 9.88%, and a suitable combination of the optimization option flags is important to the compile performance.
COMPARATIVE STUDY OF SPINAL ANESTHESIA AND GENERAL ANESTHESIA IN CHILDREN UNDERGOING SURGERIES BELOW UMBILICUS

AIM: Aim of our study to compare the spinal anaesthesia and general anaesthesia in children undergoing surgeries below umbilicus. OBJECTIVE: to assess the patient comfort in pt. with GA and pt. with spinal anaesthesia, the adequate surgical condition, assess the hemodynamic change, assess the post op analgesia and to assess the post op complication. MATERIAL AND METHOD: 60 ASA grade I & II children of either sex, aged 5-12 yrs undergoing elective surgeries for the lower abdominal, perineal and lower limb surgeries were taken. After taking a detailed history, thorough general physical examination, all pertinent investigation were carried out to exclude any systemic disease. Patients were classified randomly into 2 groups (30 patients in each group). Group A: General anesthesia was given. Group P: subarachnoid block was given. Intraoperative monitoring consisted of SPO2, PR, NIBP, RR and assessment of duration of post-operative analgesia. P-value <0.05 consider significant. RESULT: Analysis revealed that there were no significant differences between the patients with respect to age, sex, duration and type of surgery In SAB since less general anaesthetic drug including parental opioid are used the risk and postoperative respiratory depression is minimal. The stress response to surgery is also limited and recovery is fast. Postoperatively complications like sore throat, laryngeal irritation, cough etc. was also less associated with it. CONCLUSION pediatric spinal anesthesia is not only a safe alternative to general anesthesia but often the anesthesia technique of choice in many lower abdominal and lower limb surgeries in children. The misconception regarding its safety and flexibility is broken and is now found to be even more cost effective. It is much preferred technique special for common day case surgeries generally performed in the pediatric age group.
The Recent Growth History of the Fornax Cluster Derived from Simultaneous Sloshing and Gas Stripping: Simulating the Infall of NGC 1404

We derive the recent growth history of the Fornax Cluster, in particular the recent infall of the giant elliptical galaxy NGC 1404. We show, using a simple cluster minor merger simulation tailored to Fornax and NGC 1404, that a second or more likely third encounter between the two reproduces all the main merger features observed in both objects; we firmly exclude a first infall scenario. Our simulations reveal a consistent picture: NGC 1404 passed by NGC 1399 about 1.1–1.3 Gyr ago from the northeast to the southwest and is now almost at the point of its next encounter from the south. This scenario explains the sloshing patterns observed in Fornax—a prominent northern cold front and an inner southern cold front. This scenario also explains the truncated atmosphere, the gas-stripping radius of NGC 1404, and its faint gas tail. Independent of the exact history, we can make a number of predictions. A detached bow shock south of NGC 1404 should exist, which is a remnant of the galaxy’s previous infall at a distance from NGC 1404 between 450 and 750 kpc with an estimated Mach number between 1.3 and 1.5. The wake of NGC 1404 also lies south of the galaxy with enhanced turbulence and a slight enhancement in metallicity compared to the undisturbed regions of the cluster. Southwest of NGC 1404, there is likely evidence of old turbulence originating from the previous infall. No scenario predicts enhanced turbulence outside of the cold front northwest of the cluster center.
Towards information retrieval

If you really want to be smarter, reading can be one of the lots ways to evoke and realize. Many people who like reading will have more knowledge and experiences. Reading can be a way to gain information from economics, politics, science, fiction, literature, religion, and many others. As one of the part of book categories, towards information retrieval always becomes the most wanted book. Many people are absolutely searching for this book. It means that many love to read this kind of book.
The Effects of Psychological Home and Place Attachment on Life Satisfaction in Women of Color

The cognitive judgments individuals make to evaluate their quality of life (i.e. life satisfaction), are vital to understanding how individuals perceive their overall well-being. Predictors, such as, gender, ethnicity, and external environmental factors may influence life satisfaction. Few studies examined the relations between psychological home, place attachment, and life satisfaction. The present study was the first to examine these concepts in women of color. For the present study, data were taken from a larger nationwide study of 1,394 adults (M = 53.94 years old) examining the relationship between home, clutter, and well-being. The current study explored the influence of psychological home on life satisfaction, among 99 adult women of color (M = 50.33 years old), after accounting for resource (i.e., annual household income, homeownership status, and relationship status) and contextual (i.e., type of dwelling, number of people in household, and years in residence) variables. Additionally, the effects of place attachment and clutter on psychological home and life satisfaction were examined. Hierarchical regression analyses revealed that psychological home was a significant predictor of life satisfaction over and above resource and contextual variables. Place attachment and clutter did not moderate the relationship between psychological home and life satisfaction. However, clutter mediated the relationship between psychological home and life satisfaction. More research is needed to better understand these processes in woman of color. The implications for community psychology, limitations of the current study, and future directions are discussed.
Self-presentation -1 Judgments of personality traits and self-presentation of others based on a limited amount of information : The moderating role of self-presentation tactics

The present study considers impression formation in a context in which the information about others is limited and at the same time private by its very nature. The accuracy of judgment of basic personality traits, affective traits and assertive self-presentation tactics of others based on their natural stream of thoughts was examined. Furthermore, the moderating role of selfpresentation in accurate evaluations of others was explored. Data was collected using the approach in which 86 participants recorded their natural stream of thoughts, which then served as the basis for judges’ ratings. Each participant also completed basic personality traits, affective traits and assertive self-presentation self-rating measures. The possibility of forming accurate impressions about others’ personality in a context in which the audience possesses a small amount of relatively private information is partially confirmed. An intriguing finding is that it is even possible to detect self-presentation concerns, particularly Self-promotion. Additional finding with important implications for future studies is that individuals who are prone to use Self-promotion and Exemplification can be in a private context seen differently by others in comparison to those who use them less often.
University of Limerick Department of Sociology Working Paper Series Working Paper WP 2015-02 September 2015

The MICT package provides a method for multiple imputation for categorical time-series data such as lifecourse or employment-status histories that preserves longitudinal consistency, using a monotonic series of imputations. It allows flexible imputation specifications, with a model appropriate to the target variable (mlogit, ologit etc.). Where transitions are substantially less frequent than once per time-unit, and where missingness tends to be consecutive (as is typical of lifecourse data), it produces imputations with better longitudinal consistency than mi impute or ice. 1 Missingness in longitudinal data This paper describes an approach to multiple imputation for categorical crosssectional time-series data, such as labour market or other life course histories. The approach focuses on filling gaps from their edges, using a monotonic series of imputations. It uses mi impute mlogit to carry out single imputations, but manages the sequencing of imputations independently of the mi impute infrastrucure. It respects the longitudinal consistency of the data in a way that is difficult or impossible to achieve with standard mi impute or ice approaches, while allowing flexible imputation models and full access to the power of Stata’s mi post-imputation infrastructure. The method is implemented in the MICT package. The typical application of this method is to imputing gaps in lifecourse data such as employment or fertility histories, where the state changes substantially less often than once per time-unit, and where missingness also tends to be consecutive. However, it is relevant for any categorical time-series data with relatively low transition rates and consecutive missingness. 1.1 Longitudinal data and missingness The availability of longitudinal data such as labour market, family formation, or residential histories, is ever increasing, and methods for its analysis are becoming ever more common and widely used. However, longitudinal data is subject to missingness, often to a greater degree than cross-sectional data. While some methods can deal with missingness (e.g., duration models can “censor” data