nils-herrmann/clean_scirepeval huggingface dataset:
User oriented evaluation of a medical image retrieval system for radiologists
Venue: Int. J. Medical Informatics
Year: 2015

This article reports the user oriented evaluation of a text and content based medical image retrieval system. User tests with radiologists using a search system for images in the medical literature are presented. The goal of the tests is to assess the usability of the system, identify system and interface aspects that need improvement and useful additions. Another objective is to investigate the system's added value to radiology information retrieval. The study provides an insight into required specifications and potential shortcomings of medical image retrieval systems through a concrete methodology for conducting user tests.  User tests with a working image retrieval system of images from the biomedical literature were performed in an iterative manner, where each iteration had the participants perform radiology information seeking tasks and then refining the system as well as the user study design itself. During these tasks the interaction of the users with the system was monitored, usability aspects were measured, retrieval success rates recorded and feedback was collected through survey forms.  In total, 16 radiologists participated in the user tests. The success rates in finding relevant information were on average 87% and 78% for image and case retrieval tasks, respectively. The average time for a successful search was below 3 min in both cases. Users felt quickly comfortable with the novel techniques and tools (after 5 to 15 min) such as content based image retrieval and relevance feedback. User satisfaction measures show a very positive attitude toward the system's functionalities while the user feedback helped identifying the system's weak points. The participants proposed several potentially useful new functionalities, such as filtering by imaging modality and search for articles using image examples.  The iterative character of the evaluation helped to obtain diverse and detailed feedback on all system aspects. Radiologists are quickly familiar with the functionalities but have several comments on desired functionalities. The analysis of the results can potentially assist system refinement for future medical information retrieval systems. Moreover, the methodology presented as well as the discussion on the limitations and challenges of such studies can be useful for user oriented medical image retrieval evaluation, as user oriented evaluation of interactive system is still only rarely performed. Such interactive evaluations can be limited in effort if done iteratively and can give many insights for developing better systems.
Optimization of Steel Plate Stockyard Outbound Operation in Shipbuilding Using Improved Genetic Algorithm
Year: 2020

Steel plate outbound operation is a time consuming job, most of the time is wasted in relocating blocking plates. In order to save the operation time in steel plate yard in shipbuilding, this paper established the mathematical model to minimizes the total relocation movement. An improved genetic algorithm is proposed to solve this problem. Considering future outbound operation, a heuristic relocation strategy comparing stack priority and blocking plates' outbound date is introduced. Penalty function based on outbound sequence rule is proposed to accelerate the algorithm. The experimental results show that the proposed method can reduce the relocation number whenever stack number and slot number changes.
Big data for cyber physical systems in industry 4.0: a survey
Venue: Enterp. Inf. Syst.
Year: 2019

With the technology development in cyber physical systems and big data, there are huge potential to apply them to achieve personalization and improve resource efficiency in Industry 4.0. As Industry 4.0 is the relatively new concept originated from an advanced manufacturing vision supported by the German government in 2011, there are only several existing surveys on either cyber physical systems or big data in Industry 4.0. In addition, there are much less surveys related to the intersection between cyber physical systems and big data in Industry 4.0. However, cyber physical systems are closely related to big data in nature. For example, cyber physical systems will continuously generate a large amount of data which requires the big data techniques to process and help to improve system scalability, security, and efficiency. Therefore, we conduct this survey to bring more attention to this critical intersection and highlight the future research direction to achieve the fully autonomy in Industry 4.0.
Is Romantic Desire Predictable? Machine Learning Applied to Initial Romantic Attraction
Venue: Psychological science
Year: 2017

Matchmaking companies and theoretical perspectives on close relationships suggest that initial attraction is, to some extent, a product of two people's self reported traits and preferences. We used machine learning to test how well such measures predict people's overall tendencies to romantically desire other people (actor variance) and to be desired by other people (partner variance) as well as people's desire for specific partners above and beyond actor and partner variance (relationship variance) In two speed dating studies, romantically unattached individuals completed more than 100 self report measures about traits and preferences that past researchers have identified as being relevant to mate selection. Each participant met each opposite sex participant attending a speed dating event for a 4 min speed date. Random forests models predicted 4% to 18% of actor variance and 7% to 27% of partner variance; crucially, however, they were unable to predict relationship variance using any combination of traits and preferences reported before the dates. These results suggest that compatibility elements of human mating are challenging to predict before two people meet.
An integrated structural modelling and MICMAC analysis for supply chain disruption risk classification and prioritisation in India
Year: 2019

Supply chain disruptions can have severe impacts on a firm. Realising the importance of the matter, this study aims at identifying and prioritising the risks associated with supply chain disruption as faced by Indian manufacturing sector. A two phase methodology is used for achieving the objectives the first phase involves the identification and finalisation of supply chain disruption risks through literature review and expert opinion using Delphi technique, and the second phase involves deriving the interrelationships between the risk factors and classification based on the influence and dependence power by using interpretive structural modelling (ISM) and MICMAC methodology. Environmental risk factors and supplier risk factors have become the strong drivers of other supply chain uncertainties. The outcomes of the study would help managers and governmental departments in analysing and taking actions to cope with supply chain disruptions.
Chronic Coronary Artery Disease
Year: 2014

Over the last two decades, due to improvement in the management of acute coronary syndromes (ACS) the increasing aging of the population, and the epidemics of diabetes and obesity, the management of patients with chronic coronary artery disease (CAD) has become an increasingly common and important part of clinical practice. The spectrum of chronic ischemic heart disease includes patients who have asymptomatic myocardial ischemia, stable angina pectoris, unstable angina, or prior myocardial infarction (MI) with residual ischemia. Mortality from ischemic heart disease increases in all age groups as blood pressure, vascular stiffness and endothelial dysfunction become more prevalent. New insights into the mechanisms underlying chronic stable coronary disease have led to the emergence of new anti ischemic treatments and the role for revascularization has been reformulated.
Histoire Naturelle des Animaux sans Vertebres
Year: 2009

AVANT d'atteindre le terme de mon existence, j'ai pense que, dans un nouvel ouvrage, susceptible d'etre considere comme une seconde edition de mon Systeme des animaux sans vertebres, je devais exposer les principaux faits que j'ai recueillis pour mes lecons, soit sur les animaux en general, soit sur ceux qui furent le sujet de mes demonstrations au Museum d'histoire naturelle, ainsi que mes observations et mes reflexions sur la source de ces faits. Cet ouvrage, d'ailleurs, devant offrir les classes, les genres et les principales especes des animaux sans vertebres, dans un ordre particulier, avec la citation des faits essentiels observes a l'egard de leur organisation et des facultes
In defense of 'eco' in innovation ecosystem
Year: 2017

Innovation ecosystem is an increasingly popular but all too often ambiguously utilized concept across academia, policy and business. In their recent well argued critique of the concept, Oh et al. (2016) called it a "flawed analogy" that is potentially dangerous for its lack of rigor. In this letter, we reflect on this critique and examine pathways to resolve some of the issues pointed out. We suggest that, at its best, the ecosystem analogy combines salient features from natural ecology to inform the design of system level innovation management activities. This requires a great deal of conceptual and empirical rigor, and we outline a number of ideas for future research in this regard.
Rationale Approach to the Construction of the System Selection of Moving Targets the Radar to Detect Small Unmanned Aerial Vehicles
Venue: Journal of Siberian Federal University. Engineering Technologies
Year: 2019

This paper discusses the detection and measurement of small UAV radar reconnaissance. Analyzed modern directions of improvement of MTI systems. Based on the method of compensation proposed deterministic sdts providing suppression of passive noise in the area of rejectio on the principle of close to compensation point in space jamming (ACP) autocompensation direct treatment of the correlation matrix of the interference
Pharmaceutical Care Contributes to the Advanced Management of Patients Receiving Immune Checkpoint Inhibitors.
Venue: Biological pharmaceutical bulletin
Year: 2020

We previously reported that successive pharmaceutical care by oncology pharmacy specialists contributes to quality outpatient chemotherapy. However, there are a few reports regarding such care during immune checkpoint inhibitors (ICIs) treatment, despite increasing patients being treated with ICIs and the profile of immune related adverse events being quite different from that of the adverse effects of cytotoxic agents. We retrospectively evaluated the effectiveness of continuous pharmaceutical care in outpatient ICI treatment, focusing especially on the period of providing pharmaceutical recommendations. The adoption rate, efficacy, and period of pharmaceutical interventions, such as prescription questions and pharmaceutical recommendations, were evaluated. A total of 3597 ICI administrations (366 patients) were evaluated. We performed 2625 face to face medication counseling. A total of 282 prescription questions and 147 pharmaceutical recommendations were conducted. Approximately 70% of the questions were regarding ordering of laboratory examination, and 86.5% of these questions were adopted. Pharmaceutical recommendations were categorized into medication recommendations (81.1% examination recommendations (10.8% and recommendation of expert consultation (8.1% The adoption rate of pharmaceutical recommendations was 96.0, and 70% of the medication recommendations attenuated the symptoms. Finally, the provision rate of pharmaceutical recommendations was significantly higher in the first 3 months after ICI treatment initiation. We found that pharmaceutical care contributes to an improved quality of outpatient ICI treatment, and face to face pharmaceutical counseling up to 3 months after ICI treatment initiation is the most important.
SOPC based cooperative awareness nodes in smart multimedia sensor networks
Venue: 7th International Conference on Communications and Networking in China
Year: 2012

The design mind of SOPC (System on Programmable Chip) hardware software co design, will bring the system optimization with larger degree of freedom. It will establish the foundation on realizing the miniaturization and more efficient local preprocessing in smart cooperative sensor networks. In this contribution, a solution is proposed for smart multimedia sensor nodes based on the SOPC framework, aiming at improving the on board processing capability and the degree of freedom in development. This paper mainly presents the structure and design method of the smart cooperative multimedia sensor node based on SOPC. The on board feature extraction is realized and some correlative experimental data and results are presented as well. The experimental results evaluate the feasibility and efficiency of the proposed node design method.
Passivity of Metals and Alloys
Year: 2013

The sections in this article are Introduction Electrochemical Characteristics of Passive Systems Current Potential Curves Thermodynamic Aspects of Passivity Potential Drops at the Passivated Surface Chemical Composition and Thickness of Passive Films on Metals Iron Nickel Chromium Copper Anodic Films on Aluminum Electronic Properties of Passive Films Structure of Passive Films Growth Mechanisms Effects of Alloying Elements Chromium Enrichment in Passivated Iron Based and Nickel Based Alloys Structural Aspects of Chromium Enrichment in Passive Films on Stainless Steels in Aqueous Solution: Aging Effects The Effects of Molybdenum The Effects of Nitrogen The Effect of Tungsten Passivity of Aluminum Alloys Alloying Elements as Passivity Promoters and Dissolution Moderators Detrimental Effects of Material Impurities: Sulfur Induced Corrosion Passivity Breakdown and Initial Stages of Pitting Phenomenology of Pitting Mechanisms of Pit Initiation
Packaging and storage condition affect the physicochemical properties of red raspberries (Rubus idaeus L. cv. Erika)
Venue: Food Control
Year: 2019

Packaging material and the storage temperature on red raspberries Rubus idaeus L. were studied in this paper. Raspberries were stored following their harvesting in different conditions: in the fridge at 1 degC and in the freezer at 20 degC, using different packaging materials: two Nanoactive films, Nanoactive A (NA) and Nanoactive B (NB) a biaxially oriented polyethylene terephthalate (PET) film and some other fruits were stored without any film (WF) Biometrics, color, titratable acidity, soluble solid content and moisture, were determined during storage. A loss of weight (24.87% was found during storage at room temperature from 5.02 g to 4.02 g in two days. During the freezer storage was found a significant average higher Solid Soluble Content (9.44 degBrix) in PET, a significant higher Titratable acidity (2.08% in WF, and no significant differences between different packaging for Moisture content. The O 2 and CO 2 concentrations were measured daily in the refrigerated fruits and the O 2 concentration on the 7th day was 5.0% (NA) 19.8% (NB) and 17.1 (PET) CO 2 percentage increased significantly during storage in the NA package from 9.6 (1st day) to 20.3 (14th day) whereas an inverse trend was found in the NB package from 4.4 (1st day) to 1.0 (4th day)
Optimally Approximated and Unbiased Floating Point Multiplier with Runtime Configurability
Venue: 2020 IEEE/ACM International Conference On Computer Aided Design (ICCAD)
Year: 2020

Approximate computing is a promising alternative to improve energy efficiency for IoT devices on the edge. This work proposes an optimally approximated and unbiased floating point approximate multiplier with runtime configurability. We provide a theoretically sound formulation that turns multiplication approximation to an optimization problem. With the formulation and findings, a multilevel architecture is proposed to easily incorporate runtime configurability and module execution parallelism. Finally, an optimization scheme is applied to improve the area, making it linearly dependent on the precision, instead of quadratically or exponentially as in prior work. In addition to the optimal approximation and configurability, the proposed design has an efficient circuit implementation that uses inversion, shift and addition instead of complex arithmetic operations. When compared to the prior state of the art approximate floating point multiplier, ApproxLP [30] the proposed design outperforms in all aspects including accuracy, area, and delay. By replacing the regular full precision multiplier in GPU, the proposed design can improve the energy efficiency for various edge computing tasks. Even with Level 1 approximation, the proposed design improves energy efficiency up to 122x for machine learning on CIFAR 10, with almost negligible accuracy loss.
Manfaat Asuhan Counter Pressuer dalam Mempercepat Persalinan Kala II
Year: 2018

Persalinan merupakan proses membuka dan menipisnya serviks sehingga janin turun kedalam jalan lahir. Nyeri selama proses persalinan merupakan kondisi yang fisiologis. Namun, jika dibiarkan nyeri dapat mempengaruhi kondisi ibu berupa kelelahan, kecemasan dan menimbulkan stress yang mengakibatkan penyempitan pembuluh darah dan mengurangi aliran darah yang membawa oksigen ke rahim sehingga terjadi penurunan kontraksi rahim yang akan menyebabkan memanjangnya waktu persalinan. Salah satu cara untuk mengurangi rasa nyeri dengan cara non farmakologi yaitu counter pressure Mengetahui pengaruh asuhan counter pressure pada persalinan multipara terhadap lama kala II di RSUD KRMT Wongsonegoro. Jenis penelitian ini adalah kuantitatif dengan metode true eksperimen menggunakan rancangan post test control group design. Sampel penelitian sebanyak 36 ibu bersalin multipara. Teknik pengambilan sampel dilakukan dengan menggunakan accidental sampling Analisis menggunakan uji Independent sample t test. Rata rata lama kala II pada kelompok kontrol adalah 34.56, rata rata lama kala II pada kelompok eksperimen adalah 21.00. Uji Independen sample t test menunjukkan bahwa ada perbedaan lama kala II pada kelompok kontrol dan kelompok eksperimen dengan nilai p value 0.000 p 0,05) Ada pengaruh asuhan counter pressure pada ibu bersalin multipara terhadap lama kala II. Kata kunci Counter pressure; lama kala II
Climate change perception and impacts on cattle production in pastoral communities of northern Tanzania
Venue: Pastoralism
Year: 2018

This study examines pastoralists' perception on climate change and impacts on cattle production from ten study villages of Monduli District in Tanzania. This study drew empirical data from 130 cattle owners and 81 participants from focus group discussions in the study villages. Descriptive statistics and thematic analysis were used to analyze the data respectively. Findings from this study indicate that pastoralists are well aware of the general climate trends in their location, its variability and the impacts of extreme weather events on cattle production. The main climate changes perceived by pastoralists include more erratic and reduced amounts of rainfall, rise in temperature and prolonged and frequent periods of drought. Pastoralists mainly view population pressure and tree cutting as the major causes of climate change. Further, this study found that there are no existing climate risk programmes and early warning systems across the district. Importantly, pastoralists reported the negative impacts of climate change on cattle production. The severe recurrent drought periods result in shortage of forage and water, leading to cattle starvation and malnutrition. Pastoralists reported massive cattle deaths and outbreaks of diseases such as contagious bovine pleuropneumonia and tick borne diseases. Further, reduction in milk production and poor livestock market prices were also reported as negative impacts on cattle production. Given the range of negative impacts of current climate change and extreme weather events on cattle production, the implications of climate change must be taken into account to ensure longer term survival and sustainability of pastoralist communities through strengthening of climate risk awareness programs and early warning systems across the district. Further, this study recommends that government and non governmental organizations should improve institutional support to pastoralists in order to help them deal with the negative impacts of climate change on livestock production.
Web Based Learning Object Search Engine Solution Together with Data Visualization: The Case of MERLOT II
Venue: 2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC)
Year: 2018

Open Educational Resources deliver a strategic opportunity to improve the quality of education. Currently, OER users, students, instructors, and scholars can find OERs from general search engines through metadata enrichment and logic extrapolation. Yet, most users of Web search engines today face difficulties when searching for decent and appropriate learning materials. One of the explanations may be that users are unable to get a clear overview of the list of results produced by current learning object repositories (LORs) for a given single keyword search. The purpose of this study is to propose an enhanced learning object (LO) search engine solution together with a data visualization feature in order to navigate a hitlist of LOs using a hierarchical knowledge graph based on a single keyword search in LORs. In order to conduct experiments and validate our approach, in this study we selected MERLOT II, a well known learning resource repository. We implemented a Web based solution where users can execute a single keyword search, then visualize results on a hierarchical knowledge graph. In order to accomplish our objectives, the back end of the system was involved in the functions of data extraction, data transformation, data clustering and data visualization. The outcome of the search and data visualization results indicate that the proposed approach can help users to get a clear overview of the LOs based on a single keyword search.
Psoriasis: Which therapy for which patient: Focus on special populations and chronic infections.
Venue: Journal of the American Academy of Dermatology
Year: 2019

Despite the availability of several new systemic agents for psoriasis treatment, choosing the right therapy in certain patient populations can be challenging. There are few up to date reviews on systemic drugs for moderate to severe psoriasis in pregnant and pediatric patients and in patients with concomitant chronic infections, such as hepatitis, HIV, and latent tuberculosis. These groups are usually excluded from clinical trials, and much of the available evidence is based on anecdotal case reports and case series. As a chronic disease, psoriasis requires long term treatment, and there are concerns of adverse maternal fetal outcomes, long term side effects in children, and the reactivation of latent infections with the use of systemic agents in these patients. The second article in this continuing medical education series provides insights for choosing appropriate systemic agents for treating moderate to severe psoriasis in pregnant and pediatric patients and in the setting of chronic infections, such as hepatitis, HIV, and latent tuberculosis.