nils-herrmann/clean_scirepeval huggingface dataset:
A Survey of Innovative Reimbursement Models in Spine Care
Venue: Spine

Structured key informant interviews with follow up.  The aim of the study was to describe innovative reimbursement models in spine care and gather perspectives on the future of spine care reimbursement.  The United States spends $90 billion annually on medical expenses for low back pain. One approach to promoting high quality, cost effective care is through bundled payments and other reimbursement models wherein physicians are held accountable for costs and utilization. Little data exist on innovative payment models in spine care.  Through literature review and discussions with leaders in the field, we identified organizations that were engaged in bundled payment initiatives for spine care and surgery. These included healthcare systems, physician groups, organizations helping to set up bundles, and a large employer. We conducted interviews to understand the background and specific features of each initiative, generalizable success factors and challenges, and perspectives on the future of spine reimbursement.  We interviewed 24 stakeholders across 18 organizations that collectively perform approximately 12,000 inpatient spine surgeries annually. Fee for service reimbursement accounts for a majority of revenue, but several organizations expect 30% to 45% of their spine volume to be covered under bundled payments within 3 years and cite new patient volume, increased surgical yield, and financial benefits from efficiency improvements as reasons for adopting bundled payments. Current initiatives are heterogeneous, but share similar success factors and challenges. Institutions are more hesitant to adopt risk based payment models for chronic back care, citing difficulty modeling risk, patient heterogeneity, and difficulty aligning incentives.  Payment models outside of the traditional fee for service paradigm are emerging in spine care. Providers that preemptively adopt bundled payments can increase patient volumes from payers seeking cost effective care. Going forward, organizations should begin considering reimbursement models that focus on noninterventional spine care. Finally, developments in spine reimbursement may apply to other procedure based specialties, including orthopedics and cardiology.
Professionalism and professional quality of life for oncology nurses.
Venue: Journal of clinical nursing

To identify the relationship between professionalism and professional quality of life among oncology nurses working at tertiary hospitals in Korea.  Oncology nurses are combined with core competencies and qualities required in cancer patient care. Professionalism that means compassion satisfaction and compassion fatigue is a main concept in problem solving strategies as motivation. Their satisfaction is representative of professionalism and professional quality of life. However, little research has focused on professionalism and professional quality of life.  A cross sectional study with self administered questionnaires.  A total of 285 nurses from two tertiary hospitals were included. Data collection was undertaken using Korean version of professionalism scale derived from the Hall Professional Inventory Scale and professional quality of life. Data were analysed by spss 21.0 for Windows Program using t test, anova, and multiple regression.  The mean score of professionalism in oncology nurses was 77*98 7*31. The mean professional quality of life score for compassion satisfaction, compassion fatigue and secondary traumatic stress was 33*84 5*62, 28*38 5*36 and 28*33 5*48. Compassion satisfaction was affected by factors of professionalism with an explanatory power of 49*2% Burnout and secondary traumatic stress were affected by factors of professionalism with an explanatory power of 39*3% and 4*8%  The higher the professionalism leads to the higher the compassion satisfaction, the lower the compassion fatigue. The relationship between professionalism and professional quality of life for a health work environment requires further investigation.  TO CLINICAL PRACTICE Our study supports the idea that enhancing professionalism can increase professional quality of life. It is necessary to develop professionalism by recognised qualifications and applied rewards in advanced nursing organisational culture. Furthermore, compassion satisfaction is increased by continuing ethical and moral education programme for clinical nurses to force professional dedication and encouraging nurses to affiliate themselves with the professional communities. Nurses are connected to professionalism affect the quality of nursing service for patients and professional quality of life for themselves.
The Mechanism and Influencing Factors of Herding Effect of College Students' Network Public Opinion

This study investigated the mechanism and influencing factors of herding effect in network public opinion of college students. Experiments by controlling sources of ideas and the strength of concern explore how college students process information of public opinion on the network. To explore factors that influence college students generating herding effect in the public opinion on the network, questionnaires and data test were used. The result shows that herding effect is the result of consensus heuristic and competence heuristic. On the other hand, various sources of information, which are from either the majority or experts, have equal impact on college students' herding effect in network public opinion. Besides, college students' knowledge structure is not significant to generate herding effect. On the contrary, gender, geography and original opinions have a significant impact on the generation of herding
Research and Implementation of Network Public Opinion Analysis System Based on Hadoop Platform

Through the network data analysis, the user can be informed of network terminal preference and the network service preference and the web browser preferences of user behavior characteristics, and then targeted to optimize network traffic, improve the user experience, to increase user activity and retention, bring more profit to the enterprise. It can be said that the Internet has become the most influential in the field of information dissemination, one of the most potential of the mainstream media, but also gradually become one of the mainstream media bearer of public opinion. In this case, the negative, negative network public opinion is very easy to spread among the majority of Internet users, the harmonious development of society have a great impact. It is necessary to use the modern Natural Language Processing and data mining technology, network data analysis and processing, it is of great significance for the relevant government departments to provide timely and accurate information of network public opinion. This system using Hadoop cloud platform advantages in data processing, divided into data acquisition, data preprocessing, data clustering, public opinion analysis, results show the five functional modules, to achieve various functions of the system analysis of network public opinion. Among them, the data acquisition module to data acquisition technology according to the characteristics of different data sources, the news website, use Nutch data collection, the micro blog website, using the API interface to provide their own data acquisition; data preprocessing module using Fu dan NLP in Chinese word processing, and establish a stoplist, no actual filter the meaning of adverbs and prepositions, auxiliary words, the establishment of the text using the TF IDF algorithm based on vector space; the data clustering module, according to the Chinese language and its own characteristics, such as synonymy, polysemy, clustering algorithm is proposed for Kmeans, Canopy and semantic similarity combination, improving the accuracy of clustering. Which provides the ability to find the network public opinion; public opinion analysis module in the topic sensitive topic detection and hot spot detection Content analysis and other public opinion indicators; in the results of the module, the use of Web presentation network public opinion information. This paper shows the whole process of system development, based on the characteristics of the network public opinion, study the implementation method of the system of network public opinion analysis, this paper describes the research background and significance of this subject, the research status at home and abroad, the research goal and the structure of the dissertation, introduces the advantages of Hadoop platform, in the data processing of data the text collection technology, vector space model, text clustering algorithm and the function of public opinion.
Trust based compliant robot human handovers of payloads in collaborative assembly in flexible manufacturing
Venue: 2016 IEEE International Conference on Automation Science and Engineering (CASE)

A human robot hybrid cell is developed for performing assembly in flexible manufacturing in collaboration between a robot and its human co worker. Robot trust in human is considered, a computational model for the trust is derived, and a method to measure and display the trust in real time is developed. The collaborative assembly includes robot to human handovers of payloads (assembly tools) A novel trust based compliant handover motion planning strategy for the robot is derived. The robot varies its handover configuration and motion based on robot trust in human through kinematic redundancy with the aim of reducing potential impulse forces on human body through payload during handover. A comprehensive scheme is developed to evaluate the collaborative assembly including the trust based handover strategy. The evaluation results show that consideration of robot trust in human during the assembly and adjustment in handover configuration and motion based on robot's trust levels in human significantly improve human robot interaction and assembly performance through increasing safety, human trust in robot, handover success rate, and the overall assembly efficiency by 20% 37.58% 30% and 6.73% respectively and reducing cognitive workload by 25.63% with a minor reduction in the handover efficiency by 1.87%
A telephone call 1 week after hospitalization can identify risk factors for vascular surgery readmission.
Venue: Journal of vascular surgery

Compared with other populations, patients who undergo vascular surgery have higher 30 day hospital readmission rates of up to 25% Postdischarge telephone call assessments have demonstrated utility in patients with significant medical comorbidities and traditionally high readmission rates. Therefore, we hypothesized that a 1 week postdischarge telephone call evaluation can identify risk factors for readmission among vascular surgery patients.  Patients who underwent a vascular surgery procedure during a 1 year period by a single vascular surgeon at one hospital received a postdischarge telephone call questionnaire to review postoperative pain, surgical site, constitutional symptoms, and follow up arrangement. The primary outcome measure was frequency of postoperative symptoms as collected on the telephone call questionnaire. The secondary outcome measure was 30 day hospital readmission rates.  Among 167 patients, 131 (78% received a telephone call after discharge. Calls identified pain relieved by prescription medication (odds ratio, 6.67; confidence interval, 0.82 53.81; P .05) and continued dressing application (odds ratio, 9.55; confidence interval, 0.54 166.6; P .04) as risk factors for 30 day readmission. The 30 day readmission was not statistically different in patients who were successfully and not successfully contacted with a postdischarge telephone call (8% and 17% respectively; P .37) CONCLUSIONS Vascular surgery patients are at higher risk of 30 day readmission than are patients in other surgical subspecialties. For the majority of patients, implementing a 1 week postdischarge telephone call for short term follow up evaluation is feasible and can help identify potential risk factors for hospital readmission within 30 days.
Erinacine A enriched Hericium erinaceus mycelium ameliorates Alzheimer's disease related pathologies in APPswe/PS1dE9 transgenic mice
Venue: Journal of Biomedical Science

BackgroundThe fruiting body of Hericium erinaceus has been demonstrated to possess anti dementia activity in mouse model of Alzheimer's disease and people with mild cognitive impairment. However, the therapeutic potential of Hericium erinaceus mycelia on Alzheimer's disease remains unclear. In this study, the effects of erinacine A enriched Hericium erinaceus mycelia (HE My) on the pathological changes in APPswe/PS1dE9 transgenic mouse model of Alzheimer's disease are studied.ResultsAfter a 30 day oral administration to 5 month old female APPswe/PS1dE9 transgenic mice, we found that HE My and its ethanol extracts (HE Et) attenuated cerebral Ab plaque burden. It's worth noting that the attenuated portion of a plaque is the non compact structure. The level of insulin degrading enzyme was elevated by both HE My and HE Et in cerebral cortex. On the other hand, the number of plaque activated microglia and astrocytes in cerebral cortex and hippocampus were diminished, the ratio of nerve growth factor (NGF) to NGF precursor (proNGF) was increased and hippocampal neurogenesis was promoted after these administrations. All the mentioned benefits of these administrations may therefore improve the declined activity of daily living skill in APPswe/PS1dE9 transgenic mice.ConclusionsThese results highlight the therapeutic potential of HE My and HE Et on Alzheimer's disease. Therefore, the effective components of HE My and HE Et are worth to be developed to become a therapeutic drug for Alzheimer's disease.
3D reconstruction for soft tissue of the human body
Venue: 2016 IEEE International Conference on Mechatronics and Automation

In the background of virtual surgery application, this paper establishes three dimensional model of the human body tissue in line with the biomedical characteristics, using CT images of human liver and stomach and based on Amira software and contour extraction technology. By quadratic transformation of the 3D reconstruction data, compatibility with high level programming language is realized. In the Visual Studio environment, visual rendering and texture mapping of 3D model are presented. Finally, according to the characteristic of human liver tissue entity structure, subdivision technology is adopted to establish the virtual body model of the liver tissue. Compared with real human tissue specimens, the reconstructed model reproduces human anatomical shape of the liver and stomach, which has laid a good groundwork for the subsequent research of virtual surgery.
Online Passive Aggressive Active learning
Venue: Machine Learning

We investigate online active learning techniques for online classification tasks. Unlike traditional supervised learning approaches, either batch or online learning, which often require to request class labels of each incoming instance, online active learning queries only a subset of informative incoming instances to update the classification model, aiming to maximize classification performance with minimal human labelling effort during the entire online learning task. In this paper, we present a new family of online active learning algorithms called Passive Aggressive Active (PAA) learning algorithms by adapting the Passive Aggressive algorithms in online active learning settings. Unlike conventional Perceptron based approaches that employ only the misclassified instances for updating the model, the proposed PAA learning algorithms not only use the misclassified instances to update the classifier, but also exploit correctly classified examples with low prediction confidence. Specifically, we propose several variants of PAA algorithms to tackle three types of online learning tasks: binary classification, multi class classification, and cost sensitive classification. We give the mistake bounds of the proposed algorithms in theory, and conduct extensive experiments to evaluate the empirical performance of our techniques on both standard and large scale datasets, in which the encouraging results validate the empirical effectiveness of the proposed algorithms.
Music Teacher Education at a Liberal Arts College

In 2012, a committee at a small Midwestern liberal arts college, Lake Forest College, embarked on a journey to create a music education teacher licensure major. Drawing from narrative inquiry, this article reports how the dean of faculty, education department chair, music department chair, and assistant professor of music/music education coordinator collaborated on a curricular creation. Findings from this process included (a) the created music education major, (b) each participant's rationale for wanting the new music education major, (c) valued components of the music education major, and (d) unique elements of a music education major at a liberal arts college. Implications from this experience could be valuable for music education programs at small liberal arts colleges, those involved in university/school partnerships such as professional development schools, and those looking to advocate for their music education programs across campus.
A Novel Artificial Hydrocarbon Networks Based Value Function Approximation in Hierarchical Reinforcement Learning
Venue: MICAI

Reinforcement learning aims to solve the problem of learning optimal or near optimal decision making policies for a given domain problem. However, it is known that increasing the dimensionality of the input space (i.e. environment) will increase the complexity for the learning algorithms, falling into the curse of dimensionality. Value function approximation and hierarchical reinforcement learning have been two different approaches proposed to alleviate reinforcement learning from this illness. In that sense, this paper proposes a new value function approximation using artificial hydrocarbon networks a supervised learning method inspired on chemical carbon networks with regularization at each subtask in a hierarchical reinforcement learning framework. Comparative results using a greedy sparse value function approximation over the MAXQ hierarchical method was computed, proving that artificial hydrocarbon networks improves accuracy and efficiency on the value function approximation.
Syndrome de Hay Wells a propos d'un cas

Resume Le syndrome de Hay Wells est une dysplasie ectodermique congenitale rare. Nous rapportons le cas d'une enfant agee de 5 ans, nee de parents non consanguins, qui a consulte pour une dysmorphie faciale caracteristique de ce syndrome. L'etude moleculaire a confirme le diagnostic. Elle presentait une fente velo palatine qui fait partie des signes principaux de ce syndrome et a beneficie d'une plastie de Veau Wardill Kilner dont les resultats ont ete satisfaisants. A travers cette observation, nous decrivons les manifestations maxillo faciales de ce syndrome avec une revue de litterature.
Sante mobile va t elle ameliorer notre systeme de soins

Definir comment la sante mobile peut ameliorer l'offre de soin actuelle en France. Methode Revue de la litterature internationale, realisee sur les bases de donnee Medline, SUDOC, PASCAL, NHS Economic Evaluation Database, Google, jusqu'en fevrier 2016 avec les mots cles m sante mHealth mobile phone Resultats L'etude de la legislation francaise et europeenne a permis de definir le cadre reglementaire et juridique de la m sante en France, certains flous restent neanmoins a eclaircir. L'analyse d'applis a defini leur interet medical et dans le parcours de soins, mais aussi certains aspects dangereux. Il existe de nombreux freins au developpement de la m sante reglementaires (certification, labelisation, protection des donnees des utilisateurs) economiques (absence d'un modele defini, peu d'etudes sur l'impact pour permettre une prise en charge par les autorites) structuraux (complexite de nos systemes de sante et mauvaise integration de la m sante a ceux ci, crainte d'une uberisation de la sante, risque de fracture numerique) technologiques (absence d'interoperabilite, faible fiabilite des capteurs, manque de securisation) L'etude des programmes mondiaux de m sante a permis d'ouvrir des pistes de developpement en France.  La m sante peut permettre une prevention accrue et une meilleure qualite de vie, des systemes de sante plus efficients et durables, des patients plus responsables. L'identification de ses promesses et des freins a son developpement permet de proposer des composants essentiels pour les applis du futur, ainsi que des evolutions necessaires du systeme de sante et de la legislation Francaise.
The uberisation of logistics

Uber this, Uber that Ever since Uber reinvented taxi services by placing itself in between customers and private car owners, 'uberisation' has become a craze. That doesn't mean that everything will, or even can, apply the Uber concept, but it certainly doesn't stop people from trying. From taxis to home deliveries, from laundry to legal services, uberisation is being applied into many different sectors. How close is it to significantly disrupting logistics? When supply chain leaders like Walmart start to test the waters by using Uber and its competitor Lyft to make last mile deliveries, it's probably time to take notice or to start catching up.
Experimentation d'une plateforme de detection automatisee des situations a risque de decompensation cardiaque (plateforme E care) dans une unite de medecine interne

Resume Introduction La telemedecine est susceptible d'apporter une aide a la prise en charge des patients souffrant d'insuffisance cardiaque et d'eviter des urgences vitales. Dans ce cadre, nous avons experimente dans une unite de medecine interne une e plateforme E care dediee a la detection automatisee et intelligente des situations a risque de decompensation cardiaque. Methodes La plateforme E care repose sur des capteurs medicaux (pression arterielle, frequence cardiaque, O2, poids) communicants (Bluetooth) permettant de remonter, en temps reel, a un systeme intelligent des informations physiologiques et sur une analyse de l'ontologie medicale, ce qui aboutit in fine a la generation d'alertes. Apres une phase de mise au point (proof of concept) la plateforme E care a ete deployee et testee par les professionnels de sante et les patients dans une unite de medecine interne de 20 lits, ouverte sur les urgences aux hopitaux universitaires de Strasbourg. Resultats Cent quatre vingts patients ont ete inclus et 1500 mesures ont ete realisees. Le profil de patients inclus dans cette experimentation etait un patient age, poly pathologique dans plus de 90 des cas, avec une perte d'autonomie dans 25 Les professionnels de sante utilisaient la plateforme E care au quotidien a leur grande satisfaction. Cette experimentation permettait de valider les choix technologiques, de consolider le systeme et de tester la robustesse de la plateforme E care. La collecte en continu nous a permis d'avoir le nombre critique de patients pour analyser plus finement la pertinence des alertes en rapport avec des decompensations cardiaques. Une analyse preliminaire montrait la pertinence des alertes generees.  Les resultats preliminaires suite au deploiement de la plateforme E care en milieu hospitalier semblent montrer la pertinence des choix technologiques, des outils et des solutions developpees et adoptees. Ce systeme de telemedecine permet de facon automatique, non intrusive, de generer des alertes en rapport avec la detection de situations a risque de decompensation cardiaque, etant in fine susceptible de prevenir le recours a l'hospitalisation. Un deploiement a domicile est actuellement en cours.