nils-herrmann/clean_scirepeval huggingface dataset:
Manual or semi automated edge detection of the maximal far wall common carotid intima media thickness: a direct comparison
Venue: Journal of internal medicine
Year: 2012

Peters SAE, den Ruijter HM, Palmer MK, Grobbee DE, Crouse JR, O'Leary DH, Evans GW, Raichlen JS, Lind L, Bots ML, on behalf of the METEOR Study Group (University Medical Center Utrecht, Utrecht, The Netherlands; Keele University, Keele, UK; Wake Forest University School of Medicine, Winston Salem, NC, USA; Caritas Carney Hospital, Boston, MA, USA; Wake Forest University School of Medicine, Winston Salem, NC, USA; AstraZeneca, Wilmington, DE, USA; and Uppsala University Hospital, Uppsala, Sweden) Manual or semi automated edge detection of the maximal far wall common carotid intima media thickness: a direct comparison.
Modeling of Knudsen Layer Effects in the Micro Scale Backward Facing Step in the Slip Flow Regime
Venue: Micromachines
Year: 2019

The effect of the Knudsen layer in the thermal micro scale gas flows has been investigated. The effective mean free path model has been implemented in the open source computational fluid dynamics (CFD) code, to extend its applicability up to slip and early transition flow regime. The conventional Navier Stokes constitutive relations and the first order non equilibrium boundary conditions are modified based on the effective mean free path, which depends on the distance from the solid surface. The predictive capability of the standard 'Maxwell velocity slip Smoluchwoski temperature jump' and hybrid boundary conditions 'Langmuir Maxwell velocity slip Langmuir Smoluchwoski temperature jump' in conjunction with the Knudsen layer formulation has been evaluated in the present work. Simulations are carried out over a nano /micro scale backward facing step geometry in which flow experiences adverse pressure gradient, separation and re attachment. Results are validated against the direct simulation Monte Carlo (DSMC) data, and have shown significant improvement over the existing CFD solvers. Non equilibrium effects on the velocity and temperature of gas on the surface of the backward facing step channel are studied by varying the flow Knudsen number, inlet flow temperature, and wall temperature. Results show that the modified solver with hybrid Langmuir based boundary conditions gives the best predictions when the Knudsen layer is incorporated, and the standard Maxwell Smoluchowski can accurately capture momentum and the thermal Knudsen layer when the temperature of the wall is higher than the fluid flow.
Hybrid Excited Series Permanent Magnet Axial Field Flux Switching Memory Machine
Venue: IEEE Transactions on Applied Superconductivity
Year: 2019

This paper presents a novel axial field flux switching memory (AFFSM) machine, which integrates series permanent magnet (SPM) and an additional dc field winding for improving the flux regulation capability. The configuration and the operation principle of the SPM AFFSM machine are presented. The design considerations for the SPM and the dc field winding are discussed. The voltage regulation capability and torque speed characteristics of the SPM AFFSM machine are investigated by 3 D FEA. Finally, a prototype is developed for experimental verification. The measured results verify structural validity and the finite element predictions.
Prevalence of Depression Symptoms in US Adults Before and During the COVID 19 Pandemic
Venue: JAMA network open
Year: 2020

What is the burden of depression symptoms among US adults during the coronavirus disease 2019 (COVID 19) pandemic compared with before COVID 19, and what are the risk factors associated with depression symptoms?  In this survey study that included 1441 respondents from during the COVID 19 pandemic and 5065 respondents from before the pandemic, depression symptom prevalence was more than 3 fold higher during the COVID 19 pandemic than before. Lower income, having less than $5000 in savings, and having exposure to more stressors were associated with greater risk of depression symptoms during COVID 19. Meaning These findings suggest that there is a high burden of depression symptoms in the US associated with the COVID 19 pandemic and that this burden falls disproportionately on individuals who are already at increased risk.
Praktyczny profil ksztalcenia w zakresie przedsiebiorczosci na uczelniach wyzszych doswiadczenia polskie a standardy miedzynarodowe
Year: 2020

CEL NAUKOWY: Celem artykulu jest porownanie standardow praktycznego profilu ksztalcenia w Polsce i na zagranicznych uczelniach ekonomicznych w zakresie przyjetych celow i stosowanych metod nauczania.  W artykule podjeto sie proby znalezienia odpowiedzi na pytanie, czy programy ksztalcenia realizowane w obszarze przedsiebiorczosci na uczelniach ekonomicznych w Polsce sa podobne do programow realizowanych na uczelniach zagranicznych w zakresie celow i metod ksztalcenia? Realizacja przyjetego celu zostala osiagnieta na podstawie badan jakosciowych. Przedmiotem podjetego badania byly cele i metody wykorzystywane na studiach pierwszego stopnia na kierunku przedsiebiorczosc o profilu praktycznym. Podmiotem badania byly wszystkie uczelnie w Polsce, ktore maja w swojej ofercie studia pierwszego stopnia na kierunku przedsiebiorczosc o profilu praktycznym, oraz trzy wiodace uczelnie z podobnym programem spoza Polski. Zakres czasowy badania stanowily lata 2019 2020, a zakres przestrzenny caly swiat.  Wywod sklada sie z dwoch zasadniczych elementow. W pierwszej, teoretycznej czesci artykulu zaprezentowano zasady ksztalcenia praktycznego w zakresie przedsiebiorczosci. Nastepnie, w czesci praktycznej, przedstawiono wyniki prowadzonej analizy porownawczej.  Przeprowadza analiza wykazala, ze ksztalcenie praktyczne w zakresie przedsiebiorczosci w Polsce oraz w czolowych uczelniach zagranicznych majacych w swojej ofercie studia pierwszego stopnia na kierunku przedsiebiorczosc o profilu praktycznym (University of Houston, Babson College, Brigham Young University) nie rozni sie znaczaco w zakresie celow i metod. WNIOSKI, INNOWACJE, REKOMENDACJE: Porownanie oferty studiow pierwszego stopnia na kierunku przedsiebiorczosc, ktore zostaly stworzone przez polskie uczelnie, oraz ofert wiodacych uczelni spoza Polski pozwolilo na sformulowanie rekomendacji dla polskich uczelni oferujacych ksztalcenie w obszarze przedsiebiorczosci. Rekomendacje te obejmuja w szczegolnosci propozycje dotyczace skali ksztalcenia zaleca sie zindywidualizowane podejscie do kazdego studenta. Istotne tez jest, aby polskie uczelnie stworzyly studentom mozliwosc zdobycia praktycznego doswiadczenia przykladowo poprzez wspolprace z inkubatorami przedsiebiorczosci.
AM last page. Using Visual Radar Graph Representation of Learner Achievement to Complement the RIME Framework.
Venue: Academic medicine journal of the Association of American Medical Colleges
Year: 2015

The RIME (Reporter, Interpreter, Manager, Educator) evaluation framework developed by Pangaro can be used to yield insight into a trainee's development. A previous AM Last Page presented a tabular map of the RIME framework as it relates to the Accreditation Council for Graduate Medical Education (ACGME) competencies. Keister and colleagues have validated the use of radar graphs as promising tools for feedback and assessment of trainees. Achievement of milestones and progression along the RIME axes can be visually represented for formative or summative evaluation. Modification to Pangaro's developmental markers (Introduced, Repeated practice, Proficiency, Mastery) with a minor mathematical manipulation allows representation as a visual radar graph for the RIME framework. The mathematical conversion is necessary to give relative value to each step in the progress. The conversion scale can be developed locally by programs to highlight the relative value given to these constructs at individual training programs. Using Visual Radar Graph Representation of Learner Achievement to Complement the RIME Framework Juan Cendan, MD, associate professor of surgery and assistant dean for simulation, Caridad Hernandez, MD, associate professor of medicine, and Analia Castiglioni, MD, associate professor of medicine, University of Central Florida, College of Medicine
14.5 Eyeriss: An energy efficient reconfigurable accelerator for deep convolutional neural networks
Venue: ISSCC
Year: 2016

Deep learning using convolutional neural networks (CNN) gives state of the art accuracy on many computer vision tasks (e.g. object detection, recognition, segmentation) Convolutions account for over 90% of the processing in CNNs for both inference/testing and training, and fully convolutional networks are increasingly being used. To achieve state of the art accuracy requires CNNs with not only a larger number of layers, but also millions of filters weights, and varying shapes (i.e. filter sizes, number of filters, number of channels) as shown in Fig. 14.5.1. For instance, AlexNet  uses 2.3 million weights (4.6MB of storage) and requires 666 million MACs per 227x227 image (13kMACs/pixel) VGG16  uses 14.7 million weights (29.4MB of storage) and requires 15.3 billion MACs per 224x224 image (306kMACs/pixel) The large number of filter weights and channels results in substantial data movement, which consumes significant energy.
Enhancing VNF performance by exploiting SR IOV and DPDK packet processing acceleration
Venue: 2015 IEEE Conference on Network Function Virtualization and Software Defined Network (NFV SDN)
Year: 2015

The primary goal of Network Function Virtualization (NFV) is the migration of physical network functions to software versions running on virtual machines (VM) in cloud computing environments. Rapid developments in virtualization technologies have made high speed network connections and line rate packet processing viable in virtualized infrastructure environments. Deep Packet Inspection (DPI) of network traffic in the form of a computational intensive virtualized network function (VNF) was selected as a representative use case. The DPI use case was used, to demonstrate the benefits of using SR IOV enabled devices with DPDK to support performant Virtual Network Function (VNF) deployments. Performance evaluation of VNF versions using LibPCAP, SR IOV and DPDK have been carried out. The results demonstrate that significantly higher packet throughput performance can be achieved when using SR IOV and DPDK in unison in comparison to packet processing with the native Linux kernel network stack.
A Students' Perspective of Native and Cross Platform Approaches for Mobile Application Development
Venue: ICCSA
Year: 2019

One of the software industries with the most significant growth nowadays is the mobile application industry. In this paper, we study the differences between two mobile development approaches: (i) native (the development that's specific for each platform) and (ii) cross platform (when a standard code is shared among different platforms) Inexperienced teams, students, and all newcomers in mobile development might find difficulties in choosing among approaches and frameworks. Our goal is to provide a comparison of these approaches from 3 different surveys with 166 participants, from students to experts perspectives, and study the factors that might influence the choice between them. We focus not only on quantitative aspects but also on qualitative and practical considerations that may also affect this decision (e.g. project requirements, final product category, and platform support) The results can aid students and inexperienced teams to obtain a more unobstructed view of the most recommended mobile development approach in a specific context and guide them to systematize their choice. Through our research, we observed that even when the quantitative aspects point towards a hybrid approach, it may not be the best decision due to other qualitative and practical factors. We found two nontechnical characteristics that may impact the selection of the best approach: previous team experiences with the chosen technology; and how well established and consolidated the technology is. With that in mind, we propose a mapping between project requirements and the benefits/drawbacks of each approach.
Customer segmentation in private banking sector using machine learning techniques
Year: 2013

Machine learning techniques have proven good performance in classification matters of all kinds: medical diagnosis, character recognition, credit default and fraud prediction, and also foreign exchange market prognosis. Customer segmentation in private banking sector is an important step for profitable business development, enabling financial institutions to address their products and services to homogeneous classes of customers. This paper approaches two of the most popular machine learning techniques, Neural Networks and Support Vector Machines, and describes how each of these perform in a segmentation process.
Bio efficacy of newer insecticides against serpentine leaf miner, Liriomyza trifolii (Burgess) on watermelon
Year: 2020

A field experiment was conducted to evaluate the efficacy of certain newer insecticides against serpentine leaf miner, Liriomyza trifolii (Burgess) during summer 2019. Among the different chemicals (Abamectin 1.9 EC, 0.00057% Triazophos 40 EC, 0.05% Deltamethrin 2.8 EC, 0.0025% Emamectin benzoate 5 SC, 0.002% Imidacloprid 17.8 SL, 0.004% Cyantraniliprole 10.26 OD, 0.018% Cartap hydrochloride 50 SP, 0.075% the diamide insecticide cyantraniliprole registered the lowest number of leaf mines (4.34% and per cent damage on leaves (13.01% followed by abamectin and deltamethrin. This establishes the supremacy of diamide insecticides in the effective management of serpentine leaf miner on watermelon.
Further results on the margin explanation of boosting: new algorithm and experiments
Venue: Science China Information Sciences
Year: 2012

Understanding the empirical success of boosting algorithms is an important theoretical problem in machine learning. One of the most influential works is the margin theory, which provides a series of upper bounds for the generalization error of any voting classifier in terms of the margins of the training data. Recently an equilibrium margin (Emargin) bound which is sharper than previously well known margin bounds is proposed. In this paper, we conduct extensive experiments to test the Emargin theory. Specifically, we develop an efficient algorithm that, given a boosting classifier (or a voting classifier in general) learns a new voting classifier which usually has a smaller Emargin bound. We then compare the performances of the two classifiers and find that the new classifier often has smaller test errors, which agrees with what the Emargin theory predicts.
Generation of discontinuous microstructures by Diamond Micro Chiseling
Year: 2014

is a new machining process to generate discontinuous microstructures, such as miniaturized cube corner retroreflectors or V shaped grooves with defined endings. After a brief introduction to the process itself, this paper presents an in depth analysis of factors that determine the achievable size and performance of such microstructures. The capability for generating discontinuous microstructures is assessed theoretically by considering the process kinematics and the diamond tool design by geometrical calculations. Thereafter, an experimental evaluation of the process is presented by showing measured data for cutting forces, achievable shape accuracy and surface finish for different structure sizes.
PERCEPTIONS AND ATTITUDE ON USING SOCIAL MEDIA RESPONSIBLY: TOWARD SOCIAL MEDIA LITERACY IN NURSING EDUCATION
Venue: Belitung Nursing Journal
Year: 2019

As future professionals, nursing students are expected to exhibit online professionalism and to be responsible users of social media. However, the rapid sharing of information on social media exposes nursing students to the risk and danger of spreading unprofessional behaviors like breaches of privacy and confidentiality. This study looked into the nursing students' perceptions and attitude toward responsible use of social media. A descriptive cross sectional research design was utilized and participated by 298 nursing students in a College of Nursing in Iloilo City, Philippines. The Responsible Use of Social Media Attitude Scale (RUSMAS) created by the researchers was used to collect the data. Findings indicated that nursing students widely use social media and that nursing students had good perceptions and had positive attitude toward responsible use of social media. A significant difference was found in the attitude of nursing students when grouped according to year level. Social media continue to gain interest among nursing students and using it responsibly must be continuously upheld. Academic nursing institutions should develop approaches promoting social media literacy in nursing education.
The interplay between cognitive control and emotional processing in children and adolescents.
Venue: Journal of experimental child psychology
Year: 2020

This study examined interactions between cognitive control and emotional processing throughout adolescent development. In particular, we investigated whether age differences in response inhibition and initiation were influenced by an emotional expression of faces and whether the effects differed from processing of nonemotional features of faces. Therefore, we applied two versions of a Go/No go task, an emotional task requiring responding or withholding responding to happy and angry faces, and a gender task including decisions to female and male faces in a large sample (N 187, age range 9 18 years) Considering theoretical assumptions of dual system models that mid adolescents are more susceptible to the processing of emotional contents, we expected more inefficient response inhibition on happy and angry trials than on neutral trials. We also expected that these effects would be specific to emotional contents. Results indicated that both response inhibition and initiation showed linear improvements with increasing age. Response inhibition was hampered in the presence of happy and angry faces, especially in mid adolescents and late adolescents. In contrast, response initiation was highly facilitated to happy faces, indicating a happy effect, leading to more accurate responding in all age groups and to faster responding especially in late adolescents. Children, in contrast to late adolescents, were more accurate in response inhibition and initiation when the gender was task relevant. Results are in line with dual system models, assuming a higher sensitivity to emotional features from mid adolescents onward but not to other features such as gender.
Physiological Implications of Myocardial Scar Structure.
Venue: Comprehensive Physiology
Year: 2015

Once myocardium dies during a heart attack, it is replaced by scar tissue over the course of several weeks. The size, location, composition, structure, and mechanical properties of the healing scar are all critical determinants of the fate of patients who survive the initial infarction. While the central importance of scar structure in determining pump function and remodeling has long been recognized, it has proven remarkably difficult to design therapies that improve heart function or limit remodeling by modifying scar structure. Many exciting new therapies are under development, but predicting their long term effects requires a detailed understanding of how infarct scar forms, how its properties impact left ventricular function and remodeling, and how changes in scar structure and properties feed back to affect not only heart mechanics but also electrical conduction, reflex hemodynamic compensations, and the ongoing process of scar formation itself. In this article, we outline the scar formation process following a myocardial infarction, discuss interpretation of standard measures of heart function in the setting of a healing infarct, then present implications of infarct scar geometry and structure for both mechanical and electrical function of the heart and summarize experiences to date with therapeutic interventions that aim to modify scar geometry and structure. One important conclusion that emerges from the studies reviewed here is that computational modeling is an essential tool for integrating the wealth of information required to understand this complex system and predict the impact of novel therapies on scar healing, heart function, and remodeling following myocardial infarction.
La sesion de educacion fisica y su impacto favorecedor del trabajo colaborativo en primaria
Year: 2018

El objetivo de este estudio es favorecer el trabajo colaborativo mediante juegos y actividades propias de la asignatura de educacion fisica, para impactar favorablemente en el trabajo en equipo en alumnos de quinto grado en una institucion de educacion basica en primaria. Aplicando un programa de intervencion, se estimulan competencias que son factores importantes para la relacion entre iguales, con el genero opuesto y con figuras de autoridad; el proceso de aprendizaje es formar personas capaces de interpretar fenomenos y acontecimientos que ocurren a su alrededor. Es un estudio de tipo descriptivo con analisis de resultados de tipo cuantitativo. El instrumento determina el nivel de consolidacion en siete aspectos y actitudes asociadas al trabajo colaborativo, de Garaigordobil (2007) modificado por Leon, (2015) Se aplico en pre test y pos test en grupo experimental integrado por 36 alumnos, 18 mujeres, 18 hombres y grupo control (34 alumnos, 17 varones y 17 ninas) entre 9 y 10 anos. Los resultados del pre test indican que en el grupo experimental, el 53% presentaron problemas de relaciones entre alumnos al trabajar en equipo (rasgos no consolidados) 42% mostro incipiente disposicion y apertura (en proceso de consolidacion) solo un 5% de los menores tiene consolidados los rasgos y actitudes favorecedoras del trabajo colaborativo. Al termino del programa de intervencion con la aplicacion intencionada de estrategias promotoras del trabajo colaborativo en el grupo experimental, los resultados del pos test, confirman el exito del programa, debido a que los niveles de consolidacion de las categorias en proceso y consolidado concentraron a la totalidad de los alumnos del grupo experimental con 48% en proceso de consolidacion y un 52% con rasgos consolidados. Mientras que en el grupo control, los porcentajes en no consolidacion fueron del 68% en proceso 26 y solo un 6% consolidado. Confirmando el exito del programa.