Miracle-dz/UniFAR-FTUs huggingface dataset:
Cerebral Blastomyces dermatitidis infection in a cat.

CASE DESCRIPTION An 8-year-old domestic shorthair cat was evaluated because of signs of depression, circling, and visual deficits. CLINICAL FINDINGS The cat had no cutaneous lesions, and results of an ophthalmologic examination and thoracic radiography were within reference limits. Computed tomography of the brain revealed a mass lesion involving the right parietal, temporal, and occipital lobes; the mass was in broad-based contact with the skull and smoothly marginated and had strong homogenous enhancement after contrast agent administration. During craniectomy, samples of the mass were collected for cytologic and histopathologic evaluations and microbial culture. A diagnosis of Blastomyces dermatitidis-associated meningoencephalitis with secondary pyogranulomatous inflammation was made. TREATMENT AND OUTCOME Amphotericin B (0.25 mg/kg [0.11 mg/lb], IV) was administered on alternate days (cumulative dose, 1.75 mg/kg [0.8 mg/lb]). To minimize the risk of nephrotoxicosis, assessments of serum biochemical variables (urea nitrogen and creatinine concentrations) and urinalyses were performed at intervals. The third dose of amphotericin B was postponed 48 hours because the cat became azotemic. The cat subsequently received fluconazole (10 mg/kg [4.5 mg/lb], PO, q 12 h) for 5.5 months. Six months after discontinuation of that treatment, the cat appeared healthy and had no signs of relapse. CLINICAL RELEVANCE Brain infection with B dermatitidis is typically associated with widespread disseminated disease. The cat of this report had no evidence of systemic disease. Blastomycosis of the CNS should be considered as a differential diagnosis for brain lesions in cats from areas in which B dermatitidis is endemic.
Fractional Frequency Reuse Aided Pilot Decontamination for Massive MIMO Systems

Pilot contamination leads to a dramatic performance loss in massive multiple-input multiple-output (MIMO) systems. In this paper, we propose an advanced- fractional frequency reuse scheme for massive MIMO systems to tackle the pilot contamination problem. We optimize the size of a cell-center region (CCR) to maximize the average throughput of the system without compromising the data rate of cell-edge users. After simplifying the problem with a lower bound of average throughput, we obtain a low complexity suboptimal solution. By analyzing this solution, we show the relationship between the size of the CCR and the number of antennas at each base station. Simulations results validate our analysis and demonstrate that the proposed scheme outperforms existing method employed in the unity frequency reuse system.
A planar diplexer using hybrid substrate integrated waveguide and coplanar waveguide

This paper proposes a planar diplexer using hybrid substrate integrated waveguide (SIW) and coplanar waveguide (CPW). On the basis of hybrid SIW-CPW structure which possesses high quality factor, adjustable transmission zeros, and compact size simultaneously, further employing microstrip T-junction which also possesses high performance and compact size, a demo diplexer is designed, fabricated, and measured with low insertion loss, high selectivity, high isolation, and compact size.
Parent Success Indicator: Development and Factorial Validation

Responses from 612 Parent Success Indicators (PSI) by parents and children were subjected to factor analysis. Data were factor analyzed to determine if the underlying factor structure of the instrument fit the hypothesized dimensions suggested by the position of 60 items on six subscales. The principal components extraction analysis produced 13 factors with prerotation eigenvalues greater than 1.0. A principal component solution set at six factors yielded the best fit, accounting for 49.6% of the variance. The pattern of item-to-factor correlation suggested that the 60 items tended to fit the hypothesized pattern of subscales.
Chip Scale Atomic Resonator Frequency Stabilization System With Ultra-Low Power Consumption for Optoelectronic Oscillators

We present a long-term chip scale stabilization scheme for optoelectronic oscillators (OEOs) based on a rubidium coherent population trapping (CPT) atomic resonator. By locking a single mode of an OEO to the 85Rb 3.035-GHz CPT resonance utilizing an improved phase-locked loop (PLL) with a PID regulator, we achieved a chip scale frequency stabilization system for the OEO. The fractional frequency stability of the stabilized OEO by overlapping Allan deviation reaches 6.2 × 10-11 (1 s) and ~1.45 × 10-11 (1000 s). This scheme avoids a decrease in the extra phase noise performance induced by the electronic connection between the OEO and the microwave reference in common injection locking schemes. The total physical package of the stabilization system is 20 cm3 and the total power consumption is 400 mW, which provides a chip scale and portable frequency stabilization approach with ultra-low power consumption for OEOs.
Design Optimization and Motion Planning For Pneumatically-Actuated Manipulators

Design Optimization and Motion Planning For Pneumatically-Actuated Manipulators Daniel Mark Bodily Department of Mechanical Engineering, BYU Master of Science Soft robotic systems are becoming increasingly popular as they are generally safer, lighter, and easier to manufacture than their more rigid, traditional counterparts. These advantages allow an increased sense of freedom in both the design and operation of these platforms. In this work, we seek methods of leveraging this freedom to both design and plan motions for two different serialchain, pneumatically actuated manipulators developed by Pneubotics, a small startup company based in San Francisco. In doing so, we focus primarily on two related endeavors: (1) the optimal kinematic design of these and other similar robots (i.e., choosing link lengths, base positioning, etc.), and (2) the planning of smooth paths in joint space that enable these robots to perform useful tasks. Our method of design optimization employs a genetic algorithm in combination with maximin multi-objective optimization techniques to efficiently generate a diverse set of Pareto optimal designs. This set represents the optimal region of the design space and highlights inherent tradeoffs that designers must make when choosing a particular set of design parameters for manufacture. In our work, we have chosen to optimize inflatable robots to be both dexterous, and to be able to support loads near the ground with limited deflection. We have also applied our framework to optimize a plastic manipulator to perform painting motions. In our approach to motion planning we simultaneously optimize the base position and joint motions of a robot in order to enable its end effector to follow a smooth desired trajectory. While this method of path planning generalizes to any kind of robot, we envision it to be especially applicable to soft robots and other mobile robots that can be quickly and easily repositioned to perform tasks in varying environments. Our method of path planning works by moving a set of virtual robot arms (each representing a single configuration in a sequence) branching from a common base, to a number of assigned target poses associated with a task. Additional goals and hard constraints (including joint limits) are naturally incorporated. The optimization problem at the core of this method is a quadratic program, allowing constrained high-dimensional problems to be solved in very little time. We demonstrate our method by planning and performing painting motion on two different systems. We also demonstrate in simulation how our planner could be used to perform several common tasks including those involving, pick-and-place, wiping and wrapping motions.
Becoming Middle Class: How Working-class University Students Draw and Transgress Moral Class Boundaries

This article analyses the expectations and experiences of a group of Canadian working-class, first-generation university students. I outline the structural disadvantages, in terms of economic, social, and cultural capital, these young people encounter. Rather than viewing working-class status exclusively as a barrier, I show how these students draw on their working-class backgrounds to construct uniquely working-class moral advantages, such as those associated with a strong work ethic, maturity, responsibility, and real-life experiences, to overcome structural disadvantages.Their narratives of moral class advantages, however, lack class consciousness.They can be interpreted as individualistic strategies that draw on collective values. Ultimately, these working-class students hope to transcend their class position. Drawing on working-class moralities supports their claim for recognition as educated middle-class subjects, but with moral dispositions rooted in their social background and upbringing.
Shrinking Covariance Matrices using Biological Background Knowledge

We propose a novel method for covariance matrix estimation based on shrinkage with a target inferred from biological background knowledge using methods of inductive logic programming. We show that our novel method improves on the state of the art when sample sets are small and some background knowledge expressed in a subset of firstorder logic is available. As we show in the experiments with genetic data, this background knowledge can be even only indirectly relevant to the modeling problem at hand.
How will climate change pathways and mitigation options alter incidence of vector-borne diseases? A framework for leishmaniasis in South and Meso-America

The enormous global burden of vector-borne diseases disproportionately affects poor people in tropical, developing countries. Changes in vector-borne disease impacts are often linked to human modification of ecosystems as well as climate change. For tropical ecosystems, the health impacts of future environmental and developmental policy depend on how vector-borne disease risks trade off against other ecosystem services across heterogeneous landscapes. By linking future socio-economic and climate change pathways to dynamic land use models, this study is amongst the first to analyse and project impacts of both land use and climate change on continental-scale patterns in vector-borne diseases. Models were developed for cutaneous and visceral leishmaniasis in the Americas—ecologically complex sand fly borne infections linked to tropical forests and diverse wild and domestic mammal hosts. Both diseases were hypothesised to increase with available interface habitat between forest and agricultural or domestic habitats and with mammal biodiversity. However, landscape edge metrics were not important as predictors of leishmaniasis. Models including mammal richness were similar in accuracy and predicted disease extent to models containing only climate and land use predictors. Overall, climatic factors explained 80% and land use factors only 20% of the variance in past disease patterns. Both diseases, but especially cutaneous leishmaniasis, were associated with low seasonality in temperature and precipitation. Since such seasonality increases under future climate change, particularly under strong climate forcing, both diseases were predicted to contract in geographical extent to 2050, with cutaneous leishmaniasis contracting by between 35% and 50%. Whilst visceral leishmaniasis contracted slightly more under strong than weak management for carbon, biodiversity and ecosystem services, future cutaneous leishmaniasis extent was relatively insensitive to future alternative socio-economic pathways. Models parameterised at narrower geographical scales may be more sensitive to land use pattern and project more substantial changes in disease extent under future alternative socio-economic pathways.
An Improved Hybrid AMPM and ISB Prefetcher

In their recent work, Jain and Lin propose a hybrid prefetcher composed of the Access Map Pattern Matching Prefetcher (AMPM) and the Irregular Stream Buffer (ISB), two state-of-the-art prefetchers [4]. While their hybrid achieves high performance, it can also waste memory bandwidth by making many inaccurate prefetches, which can hurt system performance in bandwidth-constrained environments. We aim to improve their work along two fronts. First, our design improves the accuracy of AMPM. Second, our design identifies whether the current workload is regular or irregular and uses this information to toggle between AMPM and ISB in the hybrid. While our design does not fully meet these goals, we do show that it improves AMPM accuracy by 7% while decreasing coverage by only 3%. Our solution improves Hybrid accuracy by 4% and bandwidth consumption by 8% on average, though it decreases speedup by 17% compared with the original hybrid.
An analysis of the post-fault behavior of robotic manipulators

Operations in hazardous or remote environments are invariably performed by robots. The hostile nature of the environments, however, increase the likelihood of failures for robots used in such applications. The difficulty and delay in the detection and consequent correction of these faults makes the post-fault performance of the robots particularly important. This work investigates the behavior of robots experiencing undetected locked-joint failures in a general class of tasks characterized by point-to-point motion. The robot is considered to have "converged" to a task position and orientation if all its joints come to rest when the end-effector is at that position. It is seen that the post-fault behavior may be classified into three categories: (1) the robot converges to the task position; (2) the robot converges to a position other than the task position; or (3) the robot does not converge, but keeps moving forever. The specific conditions for convergence are identified, and the different behaviors illustrated with examples of simple planar manipulators.
The Relationship Between Counselor Satisfaction and Extrinsic Job Factors in State Rehabilitation Agencies

In a national study, researchers collected survey data from 315 state rehabilitation agency counselors in 16 states to examine job satisfaction and extrinsic job factors. This report provides statistical analyses and extensive descriptive data characteristics. For example, only 46% of the sample reported having a master's degree (or higher) in some form of counseling, and only 25% reported possessing the certified rehabilitation counselor credential. Rehabilitation counselors reported a high degree of job satisfaction. Counselor job satisfaction correlated significantly with six extrinsic job factors, and gender differences concerning satisfaction with these extrinsic factors were found. Recommendations for state agency surveys are provided.
Inertial Measures of Motion for Clinical Biomechanics: Comparative Assessment of Accuracy under Controlled Conditions - Effect of Velocity

Background Inertial measurement of motion with Attitude and Heading Reference Systems (AHRS) is emerging as an alternative to 3D motion capture systems in biomechanics. The objectives of this study are: 1) to describe the absolute and relative accuracy of multiple units of commercially available AHRS under various types of motion; and 2) to evaluate the effect of motion velocity on the accuracy of these measurements. Methods The criterion validity of accuracy was established under controlled conditions using an instrumented Gimbal table. AHRS modules were carefully attached to the center plate of the Gimbal table and put through experimental static and dynamic conditions. Static and absolute accuracy was assessed by comparing the AHRS orientation measurement to those obtained using an optical gold standard. Relative accuracy was assessed by measuring the variation in relative orientation between modules during trials. Findings Evaluated AHRS systems demonstrated good absolute static accuracy (mean error < 0.5o) and clinically acceptable absolute accuracy under condition of slow motions (mean error between 0.5o and 3.1o). In slow motions, relative accuracy varied from 2o to 7o depending on the type of AHRS and the type of rotation. Absolute and relative accuracy were significantly affected (p<0.05) by velocity during sustained motions. The extent of that effect varied across AHRS. Interpretation Absolute and relative accuracy of AHRS are affected by environmental magnetic perturbations and conditions of motions. Relative accuracy of AHRS is mostly affected by the ability of all modules to locate the same global reference coordinate system at all time. Conclusions Existing AHRS systems can be considered for use in clinical biomechanics under constrained conditions of use. While their individual capacity to track absolute motion is relatively consistent, the use of multiple AHRS modules to compute relative motion between rigid bodies needs to be optimized according to the conditions of operation.
Crosslinked enzyme aggregates of hydroxynitrile lyase partially purified from Prunus dulcis seeds and its application for the synthesis of enantiopure cyanohydrins

Hydroxynitrile lyases are powerful catalysts in the synthesis of enantiopure cyanohydrins which are key synthons in the preparations of a variety of important chemicals. The response surface methodology including three‐factor and three‐level Box–Behnken design was applied to optimize immobilization of hydroxynitrile lyase purified partially from Prunus dulcis seeds as crosslinked enzyme aggregates (PdHNL‐CLEAs). The quadratic model was developed for predicting the response and its adequacy was validated with the analysis of variance test. The optimized immobilization parameters were initial glutaraldehyde concentration, ammonium sulfate saturation concentration, and crosslinking time, and the response was relative activity of PdHNL‐CLEA. The optimal conditions were determined as initial glutaraldehyde concentration of 25% w/v, ammonium sulfate saturation concentration of 43% w/v, and crosslinking time of 18 h. The preparations of PdHNL‐CLEA were examined for the synthesis of (R)‐mandelonitrile, (R)‐2‐chloromandelonitrile, (R)‐3,4‐dihydroxymandelonitrile, (R)‐2‐hydroxy‐4‐phenyl butyronitrile, (R)‐4‐bromomandelonitrile, (R)‐4‐fluoromandelonitrile, and (R)‐4‐nitromandelonitrile from their corresponding aldehydes and hydrocyanic acid. After 96‐h reaction time, the yield–enantiomeric excess values (%) were 100−99, 100−21, 100−99, 83−91, 100−99, 100−72, and 100−14%, respectively, for (R)‐mandelonitrile, (R)‐2‐chloromandelonitrile, (R)‐3,4‐dihydroxymandelonitrile, (R)‐2‐hydroxy‐4‐phenyl butyronitrile, (R)‐4‐bromomandelonitrile, (R)‐4‐fluoromandelonitrile, and (R)‐4‐nitromandelonitrile. The results show that PdHNL‐CLEA offers a promising potential for the preparation of enantiopure (R)‐mandelonitrile, (R)‐3,4‐dihydroxymandelonitrile, (R)‐2‐hydroxy‐4‐phenyl butyronitrile, and (R)‐4‐bromomandelonitrile with a high yield and enantiopurity. © 2014 American Institute of Chemical Engineers Biotechnol. Prog, 30:818–827, 2014
Core Beliefs, Self-Perception, and Cognitive Organization in Depressed Adolescents

The relationships between cognitive products (e.g., self-perception) and cognitive structure (or organization) in clinically depressed adolescents and nonpsychiatric controls (average age = 14.68) were examined. Adolescents with major depressive disorder showed significantly higher scores than did controls on the Young Schema Questionnaire domains of Disconnection, Impaired Autonomy, and Impaired Limits. These individuals also demonstrated poorer self-concept than controls on scholastic abilities, social acceptance, athletic competence, physical appearance, job competence, behavioral conduct, and global self-worth, as well as perceptions of limited social networks. The organization of self-referent adjectives was more tightly interconnected for negative content and less interconnected for positive content in depressed adolescents than in nonpsychiatric controls. Specificity of cognitive organization to themes of interpersonal and achievement beliefs/self-perceptions was also found, particularly for positi.
Factors related to fruit, vegetable and traditional food consumption which may affect health among Alaska Native People in Western Alaska

Objectives: Determine intake of fruits, vegetables and traditional foods (TF), availability of foods, and attitudes towards increasing their consumption. Study design: Establish community baseline through a cross-sectional sample of residents who were weighed, measured and interviewed. Village stores were surveyed for food availability, price and quality. Methods: Eighty-eight respondents self-identified as the household member primarily responsible for food shopping and cooking were surveyed in 3 Western Alaska Native villages using a food frequency questionnaire, and village stores were evaluated using food environment surveys. Results: Overweight (BMI[kg/m2] > 25) was present in 68% of participants. Fruit and vegetable intake (3.3 median servings/day) was low in comparison to recommended intakes of 5–9 servings/d. Seventy-two per cent were eating less than 5 servings/d of fruits and vegetables combined. Thirty-four per cent of respondents were trying to eat more vegetables; 41% were trying to eat more fruits. The median number of servings of TF was 3.2/d (mean 4.3/d). Seventy-seven per cent of respondents reported that they ate enough TF. Conclusion: Recommendations to continue use of TF and increase intake of fruits and vegetables are consistent with local attitudes. Our findings indicate that increasing the availability of fruits and vegetables would be well received. Information from this study provides a basis for nutrition education and food supplement programs that is responsive to the needs and perceptions of the residents. Continued TF intake and increased fruit and vegetable intake have the potential to benefit the health of rural residents.
A Dynamic Time Warping algorithm for industrial robot motion analysis

Industrial robots have a wide field of application and their applicability is constantly examined in further new application areas. Therefore the performance characteristics of industrial robots are of great interest. Such performance criteria are defined by national and international industrial standards, which also describe methods to evaluate them. However applying these criteria and methods directly to any robotic application may result in a false identification of robotic accuracy and consequently to a possible misinterpretation of the robots' capabilities. This paper describes the problems of using industrial standards for robot motion path analysis. Relating to the underlying motion data, similarities to signal processing methods in speech recognition are discussed and the usage of Dynamic Time Warping (DTW) as a general method for industrial robot motion analysis is proposed. We present a new variant of the DTW algorithm which allows the mapping of interpolated trajectory points without significantly increasing the computation complexity.