nils-herrmann/clean_scirepeval huggingface dataset:
Medical School Strategies to Address Student Well Being: A National Survey.
Venue: Academic medicine journal of the Association of American Medical Colleges
Year: 2019

To describe the breadth of strategies U.S. medical schools use to promote medical student well being.  In October 2016, 32 U.S. medical schools were surveyed about their student well being initiatives, resources, and infrastructure; grading in preclinical courses; and learning communities.  Twenty seven schools (84% responded. Sixteen (59% had a student well being curriculum, with content scheduled during regular curricular hours at most (13/16; 81% These sessions were held at least monthly (12/16; 75% and there was a combination of optional and mandatory attendance (9/16; 56% Most responding schools offered a variety of emotional/spiritual, physical, financial, and social well being activities. Nearly one quarter had a specific well being competency (6/27; 22% Most schools relied on participation rates (26/27; 96% and student satisfaction (22/27; 81% to evaluate effectiveness. Sixteen (59% assessed student well being from survey data, and 7 (26% offered students access to self assessment tools. Other common elements included an individual dedicated to overseeing student well being (22/27; 82% a student well being committee (22/27; 82% pass/fail grading in preclinical courses (20/27; 74% and the presence of learning communities (22/27; 81% CONCLUSIONS Schools have implemented a broad range of well being curricula and activities intended to promote self care, reduce stress, and build social support for medical students, with variable resources, infrastructure, and evaluation. Implementing dedicated well being competencies and rigorously evaluating their impact would help ensure appropriate allocation of time and resources and determine if well being strategies are making a difference. Strengthening evaluation is an important next step in alleviating learner distress and ultimately improving student well being.
INTELLIGENT SYSTEM FOR AUTOMATIC CLASSIFICATION OF FRUIT DEFECT USING FASTER REGION BASED CONVOLUTIONAL NEURAL NETWORK (FASTER R CNN)
Year: 2019

In 2018, the Indonesian fruit exports increased by 24% from the previous year. The surge in demand for tropical fruits from non tropical countries is one of the contributing factors for this trend. Some of these countries have strict quality requirements the poor level of quality control of fruit is an obstacle in achieving greater export yield. This is because some exporters still use manual sorting processes performed by workers, hence the quality standard varies depending on the individual perception of the workers. Therefore, we need an intelligent system that is capable of automatic sorting according to the standard set. In this research, we propose a system that can classify fruit defects automatically.  architecture proposed as a solution to detect the level of defect on the surface of the fruit. There are three types of fruit that we research, its mangoes (sweet fragrant) lime, and pitaya fruit. Each fruit divided into three categories (i) Super, (ii) middle, (iii) and fruit defects. We exploit join detection and video tracking to calculate and determine the quality of fruit in real time. The datasets are taken in the field, then trained using the FRCNN Framework using the tensor flow platform. We demonstrated that this system can classify fruit with an accuracy level of 88% (mango) 83% (lime) and 99% (pitaya) with an average computation cost of 0.0131 m/s. We can track and calculate fruit sequentially without using additional sensors and check the defect rate on fruit using the video streaming camera more accurately and with greater ease.
A United States Patent 19 11 Patent Number 6 116 244 H 0
Year: 2017

Principles and Practice, pp. 229 283.  " A High Calif. Resolution 3D Surface Construction Algorithm Computer Graphicsvol. 21, No. 4, pp. 163 169. 21    Melton, et al. (1992) "Real Time Automatic Boundary 52 U.S. Cl. 128/916; 600/441 Detection in Echocardiography" 1992 UltraSonics Sympo 58 Field of Search 600/437 447, sium, . 600/449, 440, 441; 128/916; 382/264; 364/413.13, 413.25; 73/625, 626 (List continued on next page.
Impact of digital marketing development on entrepreneurship
Year: 2019

The article discusses the impact of digital marketing on modern entrepreneurship, as well as the main tasks in the formation of the business structure. Predictions of rising consumer power in the digital age leading up to the turn of the century were bolstered by the advent of the Internet and then reignited by social media. Changes in consumer behavior require firms to rethink their marketing strategies in the digital sphere. Currently, much of the related research focuses more on the client than the firm. This study uses the firm's perspective to facilitate understanding of digital marketing and the use of social media, as well as its benefits and inhibitors. The second generation of Internet applications enhances marketing efforts by allowing firms to introduce innovative forms of communication and co create content with their customers. Firms participation in digital marketing can be classified according to the perceived benefits and uses of digital marketing. To improve engagement with digital marketing, marketers need to focus on relationship based interactions with their customers. This article demonstrates how some firms are already achieving just that.
Reaching the world outside: cultural representation and perceptions of global citizenship in Japanese elementary school English textbooks
Year: 2020

Research on the representation of culture in language textbooks rarely incorporates the concept of global citizenship, despite its increasing relevance to language education in our globalising world. To address this critique, a mixed method study was conducted to investigate cultural representation in Japanese elementary school English textbooks, and the degree to which students feel connected to the concept of global citizenship. Content analysis of Japanese textbooks and thematic analysis of student and teacher interviews found that the texts are culturally simplistic and did not help this population of students fully realise the values of global citizenship. Meaningful cultural representation may reinforce cultural awareness, open mindedness, and social responsibility the core dimensions of global citizenship. To this end, future English curricula would benefit from supplementary authentic materials, cultural exchange experiences, and explicit discussions of culture between teachers and students.
ACC/AHA/SCAI 2005 guideline update for percutaneous coronary intervention: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines (ACC/AHA/SCAI Writing Committee to Update 2001 Guidelines for Percutaneous Coronary Intervention)
Venue: Circulation
Year: 2006

The American College of Cardiology/American Heart Association/Society for Cardiovascular Angiography and Interventions (ACC/AHA/SCAI) 2005 Guideline Update for Percutaneous Coronary Intervention (PCI) contains changes in the recommendations, along with supporting text. For the purpose of comparison
Guidelines for the Development of Restaurant Businesses: Providing Online Food Delivery Services in Khon Kaen, Thailand
Year: 2021

This research aims to find the guidelines for developing the restaurant businesses providing online food delivery services in Muang District, Khon Kaen Province, Thailand. Qualitative research was utilized to conduct the research. There were two techniques: namely, Documentary research and In depth interviews (IDI) with seventeen key informants with at least five years of business experience. The study found that 9 M (Man, Money, Materials, Management, Morale, Message, Marketing, Menu, and Mindset) led to the business critical successes. Place or distribution channel was an important factor for service marketing mixed factors. The finding showed three service innovations: 1) New service concepts, 2) New service processes, and 3) New service business models for the guidelines to develop restaurant businesses providing online food delivery services.
A readout circuit dedicated for the detection of chemiluminescence using a silicon photomultiplier
Year: 2018

A readout circuit dedicated for the detection of the chemiluminescence phenomenon using a silicon photomultiplier (SiPM) is presented. During chemiluminescence, light is generated as a result of chemical reaction. Chemiluminescence is used in many applications within medicine, chemistry, biology and biotechnology, and is one of the most important sensing techniques in biomedical science and clinical medicine. The front end electronics consist of a preamplifier and a fast shaper this produces pulses, the peaking time which is 3.6 ns for a single photon and the FWHM is 3.8 ns. The system has been optimised to measure chemiluminescence it is sensitive at the level of single photons, it generates a low number of overlapping pulses and is accurate. Two methods of signal detection are analysed and compared: the counting of events and amplitude detection. The relationship between the chemiluminescence light intensity and the concentration of the chemical compound (luminol) is linear in the range of the tested concentrations and has strong linearity parameters and low prediction intervals.
LEARNING DEVICE REQUIREMENT SCIENCE EDUCATION BY PROBLEM BASED LEARNING (PBL) TO INCREASE STUDENTS' HIGH ORDER THINKING SKILLS ON JUNIOR HIGH SCHOOLS
Year: 2020

At this 21 century, thinking ability for students based on High Order Thinking Skills. This research was to analyze learning device requirement science education by Problem Based Learning to increase High Order Thinking Skills junior high school. This research method is using survey and observation with interviews and review of the literature. The results this research in one of junior high school in Pasuruan showed that the learning activity and cognitive tests does not show higher level thinking skills yet. Science teacher from one of school in Pasuruan result shows the value of student learning static electricity in National exam is less than 58.68 from minimum completeness criteria 70. The level of results percentage of static electricity of junior high school in Pasuruan City, East Java Province, and national education levels are 48.86; 45.13; and 40.29. These results indicate the difficulity of static electricity. One of learning requirement that can support to increasehigh order thinking skills is Problem Based Learning. Science teacher in junior high school Pasuruan clarified that have not used Problem Based Learning, teacher only uses interactive dialogue. Therefore, learning device of science learning needs Problem Based Learning to increase High Order Thinking Skills junior high school on chapter static electricity.
Isolation and Molecular Characterization of Enteroviruses from Great Apes and Humans in the Republic of Congo: Recombination within Enterovirus C Serotypes
Year: 2020

Enteroviruses (EVs) are viruses of the family Picornaviridae that cause mild to severe infections in humans and in several animal species, including nonhuman primates (NHPs) We conducted a survey and characterization of enteroviruses circulating between humans and great apes in the Congo. Fecal samples (N=24) of gorillas and chimpanzees living close to or distant from humans in three Congolese parks were collected, as well as from healthy humans (N=38) living around and within these parks. Enterovirus were detected in 29.4% gorilla and 13.15% human feces, including wild and human habituated gorillas, local humans and eco guards. Two identical strains were isolated from two humans come from two remote regions. Their genomes were similar and all genes showed their close similarity to Coxsackieviruses except for 3C, 3D and 5'UTR region where they were most similar to poliovirus 1 and 2, suggesting recombination. Recombination events were found between these strains, poliovirus 1 and 2 and EV C99. The same EV C species detected in both humans and apes in different regions suggest a clonal distribution of the virus in Congo.
Information Retrieval Technology, 5th Asia Information Retrieval Symposium, AIRS 2009, Sapporo, Japan, October 21 23, 2009. Proceedings
Venue: AIRS
Year: 2009

Regular Papers Fully Automatic Text Categorization by Exploiting WordNet A Latent Dirichlet Framework for Relevance Modeling Assigning Location Information to Display Individuals on a Map for Web People Search Results Web Spam Identification with User Browsing Graph Metric and Relevance Mismatch in Retrieval Evaluation Test Collection Based IR Evaluation Needs Extension toward Sessions A Case of Extremely Short Queries Weighted Rank Correlation in Information Retrieval Evaluation Extractive Summarization Based on Event Term Temporal Relation Graph and Critical Chain Using an Information Quality Framework to Evaluate the Quality of Product Reviews Automatic Extraction for Product Feature Words from Comments on the Web Image Sense Classification in Text Based Image Retrieval A Subword Normalized Cut Approach to Automatic Story Segmentation of Chinese Broadcast News Japanese Spontaneous Spoken Document Retrieval Using NMF Based Topic Models Finding 'Lucy in Disguise' The Misheard Lyric Matching Problem Selecting Effective Terms for Query Formulation Discovering Volatile Events in Your Neighborhood: Local Area Topic Extraction from Blog Entries A Unified Graph Based Iterative Reinforcement Approach to Personalized Search Exploiting Sentence Level Features for Near Duplicate Document Detection Posters Language Models of Collaborative Filtering Efficient Text Classification Using Term Projection IPHITS: An Incremental Latent Topic Model for Link Structure Supervised Dual PLSA for Personalized SMS Filtering Enabling Effective User Interactions in Content Based Image Retrieval Improving Text Rankers by Term Locality Contexts Mutual Screening Graph Algorithm: A New Bootstrapping Algorithm for Lexical Acquisition Web Image Retrieval for Abstract Queries Using Text and Image Information Question Answering Based on Answer Trustworthiness Domain Specific Opinion Retrieval A Boosting Approach for Learning to Rank Using SVD with Partially Labeled Data Opinion Target Network and Bootstrapping Method for Chinese Opinion Target Extraction Automatic Search Engine Performance Evaluation with the Wisdom of Crowds A Clustering Framework Based on Adaptive Space Mapping and Rescaling Research on Lesk C Based WSD and Its Application in English Chinese Bi directional CLIR Searching Polyphonic Indonesian Folksongs Based on N gram Indexing Technique Study on the Click Context of Web Search Users for Reliability Analysis Utilizing Social Relationships for Blog Popularity Mining S node: A Small World Navigation System for Exploratory Search Efficient Probabilistic Latent Semantic Analysis through Parallelization.
Unsupervised Adversarially Robust Representation Learning on Graphs
Venue: ArXiv
Year: 2020

Recent works have demonstrated that deep learning on graphs is vulnerable to adversarial attacks, in that imperceptible perturbations on input data can lead to dramatic performance deterioration. In this paper, we focus on the underlying problem of learning robust representations on graphs via mutual information. In contrast to previous works measure the task specific robustness based on the label space, we here take advantage of the representation space to study a task free robustness measure given the joint input space w.r.t graph topology and node attributes. We formulate this problem as a constrained saddle point optimization problem and solve it efficiently in a reduced search space. Furthermore, we provably establish theoretical connections between our task free robustness measure and the robustness of downstream classifiers. Extensive experiments demonstrate that our proposed method is able to enhance robustness against adversarial attacks on graphs, yet even increases natural accuracy.
Determinism and the Mystery of the Missing Physics
Venue: The British Journal for the Philosophy of Science
Year: 2009

This article surveys the difficulties in establishing determinism for classical physics within the context of several distinct foundational approaches to the discipline. It explains that such problems commonly emerge due to a deeper problem of 'missing physics' 1. The Problems of Formalism2. Norton's Example3. Three Species of Classical Mechanics3.1. Mass point physics3.2. The physics of perfect constraints3.3. Continuum mechanics4.  The Problems of Formalism Norton's Example Three Species of Classical Mechanics3.1. Mass point physics3.2. The physics of perfect constraints3.3. Continuum mechanics Mass point physics The physics of perfect constraints Continuum mechanics
[Sensory functions and Alzheimer's disease: a multi disciplinary approach]
Venue: Geriatrie et psychologie neuropsychiatrie du vieillissement
Year: 2015

Relations between sensory functions and Alzheimer's disease are still under explored. To understand them better, the Fondation Mederic Alzheimer has brought together a multi disciplinary expert group. Aristote's five senses must be enhanced by today's knowledge of proprioception, motor cognition and pain perception. When cognition breaks down, the person with dementia perceives the world around her with her sensory experience, yet is unable to integrate all this information to understand the context. The treatment of multiple sensory inputs by the brain is closely linked to cognitive processes. Sensory deficits reduce considerably the autonomy of people with dementia in their daily life and their relations with others, increase their social isolation and the risk of accidents. Professionals involved with neurodegenerative diseases remain poorly aware of sensory deficits, which can bias the results of cognitive tests. However, there are simple tools to detect these deficits, notably for vision, hearing and balance disorders, which can be corrected. Many interventions for cognitive rehabilitation or quality of life improvement are based on sensory functions. The environment of people with dementia must be adapted to become understandable, comfortable, safe and eventually therapeutic.
Viabilidade tecnico economica do controle da verticalidade e da volumetria do revestimento de fachadas em edificios altos por meio de medidas topograficas
Year: 2017

A analise do deslocamento da vertical de construcoes e fundamental para garantir o desempenho funcional das estruturas, minimizar a possibilidade de retrabalho e controlar custos das obras de engenharia. A tendencia global e a normatizacao dos processos de controle de qualidade, o que torna necessario o desenvolvimento e a aplicacao de metodologias apuradas para que o desempenho dos elementos construtivos possa ser assegurado. Considerando se que o controle destes deslocamentos envolve diferentes tecnicas e metodos de medicao, seja na avaliacao do comportamento em servico, seja inserido no contexto da manutencao preventiva, este trabalho tem como objetivo averiguar a viabilidade tecnico economica do controle geometrico e volumetrico da estrutura de edificios. Com enfase para o revestimento de fachadas, essa dissertacao apresenta estudo caso de dois edificios residenciais localizados em Belem, estado do Para, observados durante o processo construtivo de cada obra. Nesse ambito, foram utilizadas metodologias topograficas mais rigorosas, com o emprego de instrumentos modernos (estacoes totais) uma vez que essa pratica e pouco recorrente em obras de edificios verticais. Durante a coleta de dados, foram realizadas medicoes para identificar os deslocamentos e avaliar o volume das fachadas quando da aplicacao do revestimento das paredes. Isso posto, comparou se a relacao custo beneficio do volume do material com as medidas topograficas geradas. Apos essa etapa, efetuou se detalhada analise estatistica das medidas obtidas, onde foram elaborados graficos sobre a evolucao do controle da verticalidade e da volumetria da fachada dos dois edificios. A analise grafica ilustra os procedimentos e mecanismos desenvolvidos nos dois empreendimentos. Os resultados indicam que os custos de controle ou de monitoramento com uma equipe de topografia permanente no canteiro de obras sao entre 2,93 e 4,95 vezes menores do que os custos acrescidos pela falta de verticalidade. A complexidade do projeto arquitetonico na geometria do edifico tambem influencia no deslocamento da verticalidade e que os diferentes indices de referencia de precos podem alterar esta relacao de custos acrescidos, demonstrando de forma inconteste a viabilidade de se adotar tecnicas topograficas mais modernas e eficientes.
Nurse Practitioners and Interdisciplinary Teams in Pediatric Critical Care
Venue: AACN advanced critical care
Year: 2018

To describe the members of pediatric intensive care unit interdisciplinary provider teams and labor inputs, working conditions, and clinical practice of pediatric intensive care unit nurse practitioners.  A national, quantitative, crosssectional, descriptive postal survey of pediatric intensive care unit medical directors and nurse practitioners was administered to gather information about provider team members, pediatric intensive care unit nurse practitioner labor inputs, working conditions, and clinical practice. Descriptive statistics, cross tabulations, and &khgr;2 tests were used.  Responses from 97 pediatric intensive care unit medical directors and 59 pediatric intensive care unit nurse practitioners representing 126 institutions were received. Provider team composition varied between institutions with and without nurse practitioners. Pediatric intensive care units employed an average of 3 full time nurse practitioners; the average nurse practitioner to patient ratio was 1 to 5. The clinical practice reported by medical directors was consistent with practice reported by nurse practitioners.  Nurse practitioners are integrated into interdisciplinary pediatric intensive care unit teams, but institutional variation in team composition exists. Investigating models of care contributes to the understanding of how models influence positive patient and organizational outcomes and may change future role implementation.
Fully Automated Segmentation of Maxillofacial Lesions Based on 3D Feature Descriptors and Symmetry Analysis
Venue: Electrical Engineering (ICEE) Iranian Conference on
Year: 2018

This paper presents a method for automatic segmentation of maxillofacial lesions from CBCT (cone beam CT) images based on 3D features and symmetry analysis. The proposed framework consists of three stages: Firstly, three classes of robust keypoint detection algorithms, i.e. SIFT (scale invariant feature transform) SURF (speeded up robust features) and BRISK (binary robust invariant scalable keypoints) are implemented. Subsequently, by matching symmetric keypoints, symmetric plane is detected and 3D volume image is divide into two roughly symmetric parts. Finally, by combining non rigid registration, thresholding and morphological operators, maxillofacial lesion is segmented. The proposed framework has been validated on 125 CBCT datasets containing various cystic lesion and bone deformation. The mean dice similarity coefficient of 0.82 and 0.85 is achieved for cystic lesion and bone deformation, respectively. Moreover, 3D implementation of the proposed framework using GPU (Graphics Processing Unit) reduces the running time of algorithm and increases the feasibility of clinical application in practice.