nils-herrmann/clean_scirepeval huggingface dataset:
Racial/Ethnic and Nativity Differences in Cognitive Life Expectancies Among Older Adults in the United States
Venue: The Gerontologist
Year: 2019

To document racial/ethnic and nativity differences by gender in cognitive life expectancies among older adults in the United States.  Sullivan based life tables were used to estimate cognitively normal, cognitively impaired/no dementia (CIND) and dementia life expectancies by gender for White, Black, U.S. born Hispanic, and foreign born Hispanic adults 50 years and older in the Health and Retirement Study.  Among women, the number of years spent living with dementia for Whites, Blacks, U.S. born Hispanics, and foreign born Hispanics was 1.6, 3.9, 4.7, and 6.0 years, respectively. For men, Whites lived 1.1 years with dementia compared to 3.1 years for Blacks, 3.0 years for U.S. born Hispanics and 3.2 years for foreign born Hispanics. Similar patterns were observed for race/ethnic and nativity differences in CIND life expectancies. Blacks and Hispanics spend a larger fraction of their remaining years with CIND and dementia relative to Whites, regardless of gender. Foreign born Hispanic men and women and Black men are particularly disadvantaged in the proportion of years spent after age 50 with CIND and/or dementia.  Disparities in cognitive life expectancies indicate that intervention strategies should target the specific needs of minority and immigrant older adults with dementia. Given that education is a strong predictor of cognitive health, improving access to the social and economic resources that delay dementia onset is key to improving the well being of diverse older adults.
Adapting the Basel II Advanced Internal Ratings Based Models for International Financial Reporting Standard 9
Year: 2017

Banks around the globe are implementing International Financial Reporting Standard 9 (IFRS 9) which is a considerable effort. A key element of IFRS 9 is a forward looking "expected loss" impairment model, which is a significant shift from the incurred loss model. We examine how we may use advanced internal ratings based (A IRB) models in the estimation of expected credit losses for IFRS 9 purposes. We highlight the necessary model adaptations required to satisfy the new accounting standard. By leveraging on the A IRB models, banks can lessen their modeling efforts in fulfilling IFRS 9 and capture the synergy between different modeling endeavors within institutions. In outlining the proposed probability of default, loss given default and exposure at default models, we provide detailed examples of how they may be implemented on secured lending. Moreover, in discussing the issues related to the estimation of the expected credit loss for IFRS 9, we highlight the challenges involved and propose practical solutions to deal with them. For instance, we propose the use of a convexity adjustment approach to circumvent the need for assigning probabilities in multiple scenario analysis.
Why do firms hold cash? Evidence from Korean stock listings
Year: 2016

Corporate governance and the availability of external financing can be important determinants of corporate cash holdings. In this research, in line with Opler et al. (1999) the authors find that Korean firms' cash holdings are affected by firm level characteristics including firm size, leverage, market to book, cash flow ratio, net working capital, and cash flow volatility in addition to corporate governance. Rather than agency prone, the authors can ascribe the increase in cash holdings to the precautionary corporate demand for cash (Campbell et al. 2001) The authors also report that operating risks stemming from cash flow volatility, unavailability of external finance, credit rating downgrades, etc. may be associated with precautionary corporate demand for cash. Lastly, it is documented that corporate governance proxied for by block and/or insider ownership stakes is inversely associated with corporate cash holdings.
Influence of preparation depth and design on stress distribution in maxillary central incisors restored with ceramic veneers: A 3D finite element analysis.
Venue: Journal of prosthodontics official journal of the American College of Prosthodontists
Year: 2019

To evaluate the influence of different preparation designs and depths on the stress field developed in maxillary central incisors restored with veneers made with different ceramic materials using finite element analysis (FEA)  A linear static three dimensional finite element analysis model was used with the aid of reverse engineering to develop digital models of maxillary central incisors restored with ceramic veneers, according to two different preparation depths (thin vs deep) and two different preparation designs (feather edge vs butt joint) Three ceramic systems were tested: i) feldspathic porcelain, ii) heat pressed glass ceramic IPS Empress 2 (Ivoclar Vivadent AG) and iii) heat pressed glass ceramic IPS e.max Press (Ivoclar Vivadent AG) Each model was subjected to a compressive force of 200N applied to the palatal surface 2mm below the incisal edge. The longitudinal axis of the restored tooth formed an angle of 130o with the direction of the force. The biomechanical behavior of the different models was examined according to the von Mises stress criterion. Statistical analysis was performed using nonparametric confidence interval estimation using bootstrapping.  The maximum observed stress values were calculated and found to be similar between prepared and intact teeth. The cervical margin of the veneers displayed the highest von Mises stress values. Irrespectively of the depth and preparation design, the biggest von Mises stress values were observed at the veneer structures with the following order: i. IPS Empress 2, ii. IPS e.max Press, iii. feldspathic (p 0.001) Preparation depth resulted in statistically significant differences (p 0.001) in the stress distribution in the majority of tested structures. As the preparation depth was increased, the stresses within the veneer structure and the tooth structures were decreased. No statistically significant differences were detected in the stresses among the different restored models, when the preparation design was considered.  This FEA study suggests that ceramic veneers could restore the biomechanical behavior of prepared central incisors and made it similar of that of an intact tooth. Regardless of the preparation depth and design and the ceramic system used, the cervical margin of ceramic veneers presents the highest von Mises stress values. When feldspathic porcelain was compared with lithium disilicate (IPS e.max Press) the latter displayed the lowest transfer of stresses to dental tissues. An increase in preparation depth resulted in a statistically significant stress decrease in both the veneer and the tooth. This article is protected by copyright. All rights reserved.
ANFIS Based Visual Pose Estimation of Uncertain Robotic Arm Using Two Uncalibrated Cameras
Year: 2018

This paper describes a new approach for the visual pose estimation of an uncertain robotic manipulator using ANFIS (Artificial Neuro Fuzzy Inference System) and two uncalibrated cameras. The main emphasis of this work is on the ability to estimate the positioning accuracy and repeatability of a low cost robotic arm with unknown parameters under uncalibrated vision system. The vision system is composed of two cameras; installed on the top and on the lateral side of the robot, respectively. These two cameras need no calibration; thus, they can be installed in any position and orientation with just the condition that the end effector of the robot must remain always visible. A red colored feature point is fixed on the end of the third robotic arm link. In this study, captured image data via two fixed cameras vision system are used as the sensor feedback for the position tracking of an uncertain robotic arm. LabVolt R5150 manipulator in our laboratory is used as case study. The visual estimation system is trained using ANFIS with subtractive clustering method in MATLAB. In MATLAB, the robot, feature point and cameras are simulated as physical behaviors. To get the required data for ANFIS, the manipulator was maneuvered within its workspace using forward kinematics and the feature point image coordinates were acquired with the two cameras. Simulation experiments show that the location of the robotic arm can be trained in ANFIS using two uncalibrated cameras; and problems for computational complexity and calibration requirement of multi view geometry can be eliminated. Observing Mean Square Error (MSE) Root Mean Square Error (RMSE) Error Mean and Standard Deviation Errors, the performance of the proposed approach is efficient for using as visual feedback in uncertain robotic manipulator. Further, the proposed approach using ANFIS and uncalibrated vision system has better in flexibility, user friendly manner and computational concepts over conventional techniques.
Evaluacion de tres soluciones nutritivas en la produccion de acelga (Beta vulgaris L. Var Fordhook Giant, en hidroponia a raiz flotante en invernadero.
Year: 2019

La presente investigacion propone: evaluar tres soluciones nutritivas en la produccion de acelga (Beta vulgaris L. var FORDHOOK GIANT, en hidroponia a raiz flotante en invernadero del departamento de horticultura de la ESPOCH; se implemento un diseno de bloques completos al azar con 3 tratamientos y 3 repeticiones; las dosis evaluadas fueron: (DA) dosis alta (250 N, 262,5 P y 43,75 K) ppm, (DM) dosis media (200 N, 210 P y 35 K) ppm, (DB) dosis baja (150 N, 157,5 P y 26,25 K) ppm. Se evaluaron parametros como: prendimiento de la acelga, indice absoluto de crecimiento (IAN) indice de asimilacion neta (IAN) razon del peso radical (RPR) razon del peso foliar (RPF) indice de cosecha (K) rendimiento por hectarea y el analisis economico segun la relacion beneficio costo. En todos los tratamientos se obtuvo el 99 de prendimiento a los 15 y 20 ddt, asi mismo los mejores resultados obtenidos para la mayoria de los parametros evaluados a los 90 ddt, fueron con la dosis media (DM) con un IAC de 2,86 g/d, IAN 12,96 g/m2/d, RPF de 80,67 K de 89,24 el rendimiento por hectarea de 25009,49 kg/ha y el mayor beneficio costo con 2,47 dolares equivalente al 146,73 mientras que el mayor RPR fue de la dosis baja (DB) con 26,1 La madurez comercial de la acelga fue de 90 ddt. Asi mismo para obtener el mejor rendimiento agronomico y economico se recomienda emplear (200 N, 210 P y 35 K) ppm. Palabras clave: CULTIVO HIDROPONICO HORTICULTURA
Design Comparison of NdFeB and Ferrite Radial Flux Surface Permanent Magnet Coaxial Magnetic Gears
Venue: IEEE Transactions on Industry Applications
Year: 2018

Magnetic gears promise the benefits of mechanical gears with added advantages from contactless power transfer. Although most of the literature focuses on minimizing the size of magnetic gears, their material costs must also be reduced to achieve economic feasibility. This paper compares the active material costs of NdFeB and ferrite radial flux coaxial magnetic gears with surface permanent magnets through a parametric two dimensional (2 D) and 3 D finite element analysis study. Differences in optimal design trends such as pole counts and magnet thicknesses are illustrated for the two materials. The results demonstrate that, for most historical price rate scenarios, NdFeB gear designs are capable of achieving lower active material costs than ferrite gear designs, and they are always capable of achieving much higher torque densities. Based on the selected design constraints, relative to a nominal ferrite cost of $10/kg, NdFeB must cost more than $90/kg before ferrite is cost competitive. However, ferrite gears can achieve higher efficiencies than NdFeB gears, especially at high speeds, and generally emit less axial leakage flux. Additionally, contour plots are provided to show the impact of material price rate variation on the cost break points.
S PLASA+ adaptive sentiment analysis with application to sales performance prediction
Venue: SIGIR
Year: 2010

Analyzing the large volume of online reviews would produce useful knowledge that could be of economic values to vendors and other interested parties. In particular, the sentiments expressed in the online reviews have been shown to be strongly correlated with the sales performance of products. In this paper, we present an adaptive sentiment analysis model called S PLSA+ which aims to capture the hidden sentiment factors in the reviews with the capability to be incrementally updated as more data become available. We show how S PLSA+ can be applied to sales performance prediction using an ARSA model developed in previous literature. A case study is conducted in the movie domain, and results from preliminary experiments confirm the effectiveness of the proposed model.
Handbook of Instrumentation and Techniques for Semiconductor Nanostructure Characterization
Year: 2011

Atom Probe Tomography Plasmon Dynamics of Nanostructured Surfaces Scanning Tunneling Microscopy of Self Assembled III V Nanostructures Nanomembranes Aberration Corrected Scanning Transmission Microscopy and Electron Energy Loss Rayleigh Scattering from Carbon Nanotubes Low Energy Electron Microscopy Studies of Nanostructured Semiconductor Surfaces Scanning Probe Microscopy of GaN Based Structures Time Domain Thermoreflectance for Thermal Characterization of Nanostructures X Ray Studies of Nanostructures Single Nanowire Photoelectron Spectroscopy Ultra High Vacuum Transmission Electron Microscopy Synthesis and Studies of Low Dimensional Structures Raman Spectroscopy of Carbon Nanotubes Scanning Electron Microscopy for Characterization of Semiconducting Nanowires X Ray Diffraction for Stress Determination in Nanostructures.
Psychometric evaluation of a Farsi translation of the Big Three Perfectionism Scale
Year: 2017

Perfectionism as a personality trait has a multidimensional nature. Providing a new multidimensional measure of perfectionism, Smith, Saklofske, Stoeber, and Sherry (2016) developed the Big Three Perfectionism Scale (BTPS) The BTPS has shown very good psychometric properties, yet has not been subjected to psychometric analyses across cultures. The present research aimed to translate and validate the BTPS in Iran. The present investigation examined the factor structure of the BTPS using exploratory factor analyses as well as its convergent validity and facet and factor level reliability coefficients in Study 1 (275 university students) The structure and the higher order models of the BTPS using confirmatory factor analyses were examined in Study 2 (298 community adults) Evidence of the convergent validity in a community sample was also replicated in Study 2. Overall, the current findings provided support for the psychometric properties of the Farsi translation of the BTPS in Iranian population. Consequently, this newly developed measure may be used in clinical and research settings in Iran.
Hypermap Mapping Framework and its Application to Autonomous Semantic Exploration
Venue: 2020 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)
Year: 2020

Modern intelligent and autonomous robotic applications often require robots to have more information about their environment than that provided by traditional occupancy grid maps. For example, a robot tasked to perform autonomous semantic exploration has to label objects in the environment it is traversing while autonomously navigating. To solve this task the robot needs to at least maintain an occupancy map of the environment for navigation, an exploration map keeping track of which areas have already been visited, and a semantic map where locations and labels of objects in the environment are recorded. As the number of maps required grows, an application has to know and handle different map representations, which can be a burden.We present the Hypermap framework, which can manage multiple maps of different types. In this work, we explore the capabilities of the framework to handle occupancy grid layers and semantic polygonal layers, but the framework can be extended with new layer types in the future. Additionally, we present an algorithm to automatically generate semantic layers from RGB D images. We demonstrate the utility of the framework using the example of autonomous exploration for semantic mapping.
A STUDY ON PERSONALITY AND MENTAL HEALTH OF HIGHER SECONDARY STUDENTS OF UTTAR DINAJPUR DISTRICT
Year: 2019

The present study was undertaken to (i) explore the relation between personality and mental health of higher secondary students and (ii) investigate the gender differences in the personality and mental scores of the higher secondary students. 252 students were randomly selected from four higher secondary schools in Uttar Dinajpur district of West Bengal. The Five factor Personality Trait Scale (FPTS) developed by Sarkar Halder (2014) and Mental Health Inventory developed by Jagadish and Srivastava (2011) were adopted and employed in this research to collect the required data. The study reveals a positive correlation between personality and mental health of higher secondary students. The gender wise analysis also shows similar results. In personality, gender difference was not found but in mental health scores, boys and girls differed significantly.
Limited Gradient Descent: Learning With Noisy Labels
Venue: IEEE Access
Year: 2019

Label noise may affect the generalization of classifiers, and the effective learning of main patterns from samples with noisy labels is an important challenge. Recent studies have shown that deep neural networks tend to prioritize the learning of simple patterns over the memorization of noise patterns. This suggests a possible method to search for the best generalization that learns the main pattern until the noise begins to be memorized. Traditional approaches often employ a clean validation set to find the best stop timing of learning, i.e. early stopping. However, the generalization performance of such methods relies on the quality of validation sets. Further, in practice, a clean validation set is sometimes difficult to obtain. To solve this problem, we propose a method that can estimate the optimal stopping timing without a clean validation set, called limited gradient descent. We modified the labels of a few samples in a noisy dataset to obtain false labels and to create a reverse pattern. By monitoring the learning progress of the noisy and reverse samples, we can determine the stop timing of learning. In this paper, we also theoretically provide some necessary conditions on learning with noisy labels. Experimental results on CIFAR 10 and CIFAR 100 datasets demonstrate that our approach has a comparable generalization performance to methods relying on a clean validation set. Thus, on the noisy Clothing 1M dataset, our approach surpasses methods that rely on a clean validation set.
Watching television in later life: a deeper understanding of TV viewing in the homes of old people and in geriatric care contexts
Year: 2009

A secret among staff at nursing homes is that they are often ambivalent about old residents spending so much time watching TV since it is a common cultural perception that it makes the viewer passive. The purpose of this paper is to highlight the importance of reflecting on the TV viewing habits old people bring with them when they move into geriatric care. The findings are based on a study involving qualitative interviews and observations in two nursing home settings urban and rural of twenty persons between 82 and 100. The results confirm that TV viewing is far from a passive activity. Instead, it contributes to structuring daily life, to satisfying old peoples' needs for reflection and contemplation and to remaining socially integrated. As such, TV viewing makes a significant contribution to their capacity to cope with disengagement in old age and can be used as a way of promoting communication and well being in geriatric care.
Voltage gating of mechanosensitive PIEZO channels
Venue: Nature Communications
Year: 2018

Mechanosensitive PIEZO ion channels are evolutionarily conserved proteins whose presence is critical for normal physiology in multicellular organisms. Here we show that, in addition to mechanical stimuli, PIEZO channels are also powerfully modulated by voltage and can even switch to a purely voltage gated mode. Mutations that cause human diseases, such as xerocytosis, profoundly shift voltage sensitivity of PIEZO1 channels toward the resting membrane potential and strongly promote voltage gating. Voltage modulation may be explained by the presence of an inactivation gate in the pore, the opening of which is promoted by outward permeation. Older invertebrate (fly) and vertebrate (fish) PIEZO proteins are also voltage sensitive, but voltage gating is a much more prominent feature of these older channels. We propose that the voltage sensitivity of PIEZO channels is a deep property co opted to add a regulatory mechanism for PIEZO activation in widely different cellular contexts.PIEZO proteins form mechanosensitive ion channels. Here the authors present electrophysiological measurements that show that PIEZO channels are also modulated by voltage and can switch to a purely voltage gated mode, which is an evolutionary conserved property of this channel family.
Two dimensional Otsu image segmentation algorithm based on adaptive weighted median filter
Year: 2013

The traditional two dimensional Otsu image segmentation algorithm got ineffectively result in the image segmentation while the image contains lots of noise.To solve the problem,this paper proposed a new two dimensional Otsu image segmentation algorithm based on adaptive weighted median filter.This method firstly preprocessed the image with noise by a new adaptive weighted median filter,then transferred the region division in two dimensional histogram of median image from four partitions into two partitions,finally segmented the image accurately by an improved two dimensional Otsu algorithm.The experimental results show that the proposed algorithm has better anti noise performance and better segmentation result for image with noise.