Reviewerly/exHarmony huggingface dataset:
The Future at Your Fingertips: How Technology Can Help Us Make Better Predictions and Decisions (FR456)

•Apply web-based prognostic tools for patients with cancer and non-cancer diseases.•Evaluate studies comparing the accuracy of clinician’s prediction and prognostic models.•Understand the potential of machine learning technology. Accurate prognostication of survival is needed to facilitate complex clinical decision making, especially when patients are approaching the end-of-life. Many important decisions regarding investigations, treatments, and personal care plans are dependent on how long a patient is expected to live. Traditionally, clinicians rely on their clinical judgement to formulate a prognosis, which is subjective by nature and often overly optimistic. This presentation will focus on two main technological advances that may enhance clinicians’ accuracy of prognostication and decision making: (1) web-based prognostic tools and (2) machine learning algorithms. We will discuss the multiple prognostic models that have been developed for patients with advanced diseases, such as the Palliative Prognostic Score (PaP) and Palliative Prognostic Index (PPI) for patients with advanced cancer, the Integrated Prognostic Model for patients on hemodialysis, the Acute Physiology and Chronic Health Evaluation (APACHE) for critically ill patients, and the Model for End-Stage Liver Disease (MELD) for individuals with hepatic failure. Many of these prognostic models have been validated in multiple settings and are available as web-based tools. Studies have found that these tools are more accurate than clinician intuition alone and may help to reduce serious prognostic errors. However, they are often not used by palliative care clinicians because of lack of familiarity, lack of time, cumbersome data entry and difficulties with interpretation. By the end of this session, participants should feel more comfortable applying these prognostic tools in practice. The widespread use of electronic health records has also paved the way for machine learning algorithms to take advantage of big data to further improve the accuracy of prognostication. We shall discuss the potential of machine learning technology to augment prognostication and clinical decision making. The last 15 minutes of this session will be open to the audience for discussions.
Assessment of the Quality of School Managers’ Development as Determinant of their Effective Operations in Primary Schools

This study was designed to assess the effect of the quality of School Managers' development on their effective operations in schools.One hundred and twenty (120) school managers were drawn from the four (4) Local Government Areas (LGA5) under Lagos State Education District Ill South West, Nigeria.These include: Epe, lbeju-Lekki, Eti-Osa, and Lagos Island.Thirty (30) School managers were selected from each LGA.T-test statistical analysis was used to analyse the data collected.The two (2) hypotheses formulated were analyzed at 0.05 level of significance.The result indicated that there was a statistically significant difference in the assessment of effective operations between school managers of high-quality development and those of lowquality development.However, there was no significant statistical difference among male and female school managers who were of high-quality development in their effective operations.It was recommended, among others, that continuous high-quality development and follow-up of school managers should be embraced or embarked upon by school supervisors to enhance continuous effective operations.
Keefektifan Model Think Pair Share Berbantu Media Gaser Terhadap Keterampilan Menulis Siswa

Abstract: The purpose of this research is to know the effectiveness of think pair share model assisted media gaser to writing skill of class V student of SD Negeri 06 Randudongkal Pemalang. This research is a quantitative research using One Group Pretest Posttest Design research design using one class as research subject. he results of this study were obtained by performing initial data analysis, normality test with lilliefors test, and final data analysis with T test. Based on the analysis of final data that has been done calculation T test obtained t count&gt; ttable is 13,16&gt; 1,687, hence hypothesis can be accepted, thereby can be concluded that study with model Think Pair Share assist Gaser media effective to writing skill class V SD Negeri Randudongkal Pemalang.Keywords: Think Pair Share models, glowing images, writing skills
The Exploration and Practice of the Formative Assessment Model Based on Cloud Class

Break the traditional concepts and methods, based on the information teaching environment, reform the examination contents, methods and means, the depth of integration of the mobile classroom, from display before class, in class and after class multiple dimensions in the process of students' learning attitude, professional skills and comprehensive ability of evaluation and assessment, will focus on gathering in the learning process, pay attention to the management and control of the learning process, formative evaluation model has interest, participation and incentive system of exploration and practice.
Research and Practice on the Practice Teaching System of Engineering Majors in Applied Undergraduate Universities

Deepen the integration of production and education, highlight practical innovation, and build an engineering practice teaching system of â€œfive in one, school-enterprise collaborative educationâ€. The engineering practice teaching system runs through the whole process of professional talent training, and the closed-loop practice teaching system consists of five parts: goal, content, management, guarantee and evaluation. The system has achieved good results in the practice of talent training in software and information majors, and has trained a group of highquality IT application talents to provide reference for the reform of the practical teaching system for building high-level applied universities.
The Importance of Random Numbers

The encryption algorithms discussed in Chapter 2 require a source of random data to generate new private/public key pairs or symmetric keys. Most computers do not have a hardware-based random number generator, so software developers need to use a software-based implementation to generate random numbers that are suitable. In this chapter we will look at how to generate secure random numbers in the .NET Framework / .NETCore.
Patient reported outcomes in MPS IVA patients receiving enzyme replacement therapy

In defect prediction studies, open-source and real-world defect data sets are frequently used. The quality of these data sets is one of the main factors affecting the validity of defect prediction methods. One of the issues is repeated data points in defect prediction data sets. The main goal of the paper is to explore how low-level metrics are derived. This paper also presents a cleansing algorithm that removes repeated data points from defect data sets. The method was applied on 20 data sets, including five open source sets, and area under the curve (AUC) and precision performance parameters have been improved by 4.05% and 6.7%, respectively. In addition, this work discusses how static code metrics should be used in bug prediction. The study provides tips to obtain better defect prediction results.
PENGEMBANGAN PERANGKAT PEMBELAJARAN MATERI PERSEGI DAN PERSEGI PANJANG MENGGUNAKAN STRATEGI REACT

Education in the present has become a necessity, the need for knowledge gained through the learning process both in school and learning from the environment of residence. Mathematical skills are important for everyday life, when students work in activities that are based on everyday life situations; they see ways of applying the mathematical skills they are learning to the real world. Thelearning strategy REACT is one of the learning strategies that use the environment as a source of learning. Besides the teaching learning process with active student learning methods (CBSA) the teacher must be more active in preparing lesson material, planning the process to be carried out such as RPP, preparing evaluation such as LKS and follow-up. From the results of the study the development of learning tools for student activities reached 91.25% and the success rate of students reached 70%. Thus the development of a square and rectangular learning device using theREACTstrategy has a good effect on student activity and student learning outcomes
A Secure and Efficient Computation Outsourcing Scheme for Multi-Users.

The outsourcing process is computationally secure if it is performed without unveiling to the other external agent or cloud, either the original data or the actual solution to the computations. Secure multiparty computation computes a certain function without revealing their private secret information.
Um arquivo público estadual e suas inundações

The editorial of the journal AGORA: Arquivologia in debate. Federal University of Santa Catarina, ISSN 0103-3557, Florianopolis, Santa Catarina, Brazil.
There's no place like home

Robotic Navigation![Figure][1] AntBot finds its way home without using GPS.IMAGE: DUPEYROUX ET AL. GPS is not always available, let alone perfect. Dupeyroux et al. created the six-legged AntBot, which integrated multiple data sources—but not GPS—to track its position. This was inspired by the multisensory homing method of desert ants, which does not use pheromones because of the destructive desert heat. After a random walk, AntBot went directly back to its starting point by combining tracked distance with directional data from two sensors that polarized and detected light. AntBot is sensitive to ultraviolet light, which means it can get home even under a cloudy sky.Sci. Robot. 4 , eaau0307 (2019). [1]: pending:yes
Monika Kopytowska (ed.), <i>Contemporary Discourses of Hate and Radicalism across Space and Genres</i>

Abstract This article reviews Contemporary Discourses of Hate and Radicalism across Space and Genres
Compositional and Count Time Series

Many series have natural constraints placed upon them which should be adhered to in both modeling and forecasting. Compositional time series are proportions or shares of a whole and must therefore be fractions that sum to one across the series for each observation. Thus, for example, any forecasts of future proportions must obey these constraints. An approach which transforms the series using log-ratios is recommended which naturally imposes these constraints. Some time series are recorded as, typically small, integers or counts and thus cannot be treated as continuous variables, as has been implicitly assumed throughout the book. To model and forecast such series “coherently”, integer-autoregressive (IN-AR) models, typically with Poisson distributed innovations, can be used. Related time series are “intermittent”—those that contain long sequences of zeros—and nonnegative time series.
<i>Optimizing Discovery Systems to Improve User Experience: The Innovative Librarian’s Guide</i>. By Bonnie Imler and Michelle Eichelberger. Santa Barbara, CA: Libraries Unlimited, 2017. Pp. xii+136. $55.00 (paper). ISBN 978-1-4408-4382-2.

Previous articleNext article No AccessReviewsOptimizing Discovery Systems to Improve User Experience: The Innovative Librarian’s Guide. By Bonnie Imler and Michelle Eichelberger. Santa Barbara, CA: Libraries Unlimited, 2017. Pp. xii+136. $55.00 (paper). ISBN 978-1-4408-4382-2.Brian McCannBrian McCannStinson Leonard Street Search for more articles by this author PDFPDF PLUSFull Text Add to favoritesDownload CitationTrack CitationsPermissionsReprints Share onFacebookTwitterLinkedInRedditEmail SectionsMoreDetailsFiguresReferencesCited by The Library Quarterly Volume 89, Number 1January 2019 Article DOIhttps://doi.org/10.1086/700667 Views: 87Total views on this site For permission to reuse, please contact [email protected]PDF download Crossref reports no articles citing this article.
Material Assessment and Expert Advice on the Literacy Explanation Text Module at Medan Kudus Christian Middle School Medan, Indonesia

This study dealt with Material Assessment and Expert Advice on the Literacy Explanation Text Module at Medan Kudus Christian Middle School Medan, Indonesia. The type of research used is research and development or Research &amp; Development (R and D). This research and development was put forward by Borg and Gall (Sugiyono, 2013: 298). Improvements based on the results of the assessment and advice from experts, then the learning material for writing explanatory text based on literacy after improvement contains the material understanding of explanatory text, characteristics of explanatory text, classification of explanatory texts, explanatory text structures, etc. All material will be arranged in 3 activities, activity 1: explain the definition of explanatory text, explain the characteristics of explanatory text, classify explanatory text, activity 2: examine parts of explanatory text structure, understand the language rules of explanatory texts, determine general ideas of explanatory text, summarizing the explanatory text, activity 3: determining the patterns of explanation text development, understanding the steps for writing explanatory text, writing explanatory text according to the pattern or framework that has been designed. The form of the learning material for writing literacy-based explanatory texts is packaged in size B5 with page number 84 and letter size 12. The front cover of this literacy-based explanatory text module contains the name of the supervisor, the name of the module, illustrations of book drawings and hand drawings in writing positions. For the back cover of the learning material listed a general picture of the contents of the module.
Innovative Research on Mobile Terminal Mode of Mooc Information Platform in Universities

Aiming at the characteristics of mobile terminal of mooc platform and the problems in existing mode and operation mechanism, this paper puts forward some innovative suggestions on the establishment and development of mooc mobile terminal of mooc platform in universities. On the basis of the related concepts and theoretical research on mooc, this paper analyzes the structure and characteristics of mooc information platform. This paper analyzes the changes in the number of users of the mooc platform in Chinese universities, takes â€œxuetang onlineâ€ as the research object for concrete instance analysis, finds problems in the existing model, and proposes specific innovative suggestions on the mobile terminal model from the four aspects of course content, teaching method, course guidance tool and course assessment.
Problems and Countermeasures of International Cooperative Education in Industrial Design

The general trend of design globalization has given rise to profound education reform, which requires institutions of higher learning to promote international communication and cooperation in the process of discipline construction. International cooperative teaching & research project, setting of Chinese and foreign courses, international academic exchange and exchange student are the main forms of international cooperative education. The core of international cooperative education in industrial design is communication, cooperation, reciprocity and mutual benefit. Itâ€™s a reform which covers cross-cultural, global and applied courses and teaching activities. This paper introduces in detail problems existing in international cooperative education in industrial design, and proposes means of its reform in such aspects as resource integration, major reform, course setting, regional characteristic development and internal management mechanism.
Cartografia dos profissionais de arquivo na UFRJ

Who is the archive professional at the Federal University of Rio de Janeiro (UFRJ)? By means of a scientific technical study a profile of this server was traced before the implementation by the university of its File System (SIARQ). This initiative was a further step on the road to implementing unique document management across the university environment. Thus, the main agents of management would be archivists and archivists. From then on, a mapping of the entire professional-archival body of UFRJ was started, using as methodology the application of questionnaires to the servers, as well as interviews with the director of SIARQ, the pro-rector of personnel, the heads of the personnel units of UFRJ and the directors thereof. The results are presented in this study and aims to contribute to the improvement of the implementation of the system.
Impulsive Noise Elimination Considering the Bit Planes Information of the Image

Impulsive noise is one of the imposed defectives degrades the quality of images. Performance of many image processing applications directly depends on the quality of the input image. Hence, it is necessary to de-noise the degraded images without losing their valuable information such as edges. In this paper we propose a method to remove impulsive noise from color images without damaging the image details. The proposed method employs the bit planes information of the image in various color channels to recover the noise corrupted pixels. Experimental results show capability of the proposed method in preserving image details compared to the classic median filter de-noising and the weighted couple sparse representation based methods.
A Governance Dividend for Sub-Saharan Africa?1

Countries in Sub-Saharan Africa (SSA) tend to lag those in most other regions in terms of governance and perceptions of corruption. Weak governance undermines economic performance through various channels, including deficiencies in government functions and distortions to economic incentives. It thus stands to reason that SSA countries could strengthen their economic performance by improving governance and reducing corruption. This paper estimates that strengthening governance and mitigating corruption in the region could be associated with large growth dividends in the long run. While the process would take considerable time and effort, moving the average SSA country governance level to the global average could increase the regionâs GDP per capita growth by about 1-2 percentage points.
Geotechnical Geospatial Semantics and Interoperable GIS : the Case of &lt;i&gt;GeoSeism&lt;/i&gt; for Automated Seismic Microzonation Studies

GeoSeism is a GIS-based application software which is intended to provide more automated seismic microzonation studies by utilizing the interoperable GIS technology. Proving the applicability of the LCIM (Levels of Conceptual Interoperability Model), it portrays an implemented combination of technical along with semantic and conceptual interoperability maturity, in which the modelling level of interoperability consists of more than one data end-users. Based on the experiences distilled from an extensive case study, this case faces problems of data inconsistency related to semantics. Inconsistency restricts the capability to derive geotechnical meanings from the employed geospatial data. The role of the semantic interoperability level is to appropriately process the meanings of the exchanged data so that the end-users can efficiently use these data. Otherwise, data are not fully applicable on geotechnical methodologies. The interoperation with the expert knowledge algorithm Semantic Interpreter Pythia (SI) proved especially helpful to undertake the role to improve the semantic interoperability in an automated manner. It modeled the semantics of data prior to data exchange. This innovative type of semantic interpretation is not related to the conventional search processes but to the spatial data process and the overcoming of a variety of many semantic-related data inconsistency. Distributed systems could evolve into geotechnical interoperable GIS combining typical application software with an SI. GeoSeism implemented a first concept of interoperable GIS which can model geotechnical semantics to ensure semantic interoperability, as well as allows for current or future interchange of geotechnical operations and applicable data for the benefit of engineers and GIS.
Edge computing by using LZW Algorithm

Data compression is one of the enabling technologies for multimedia applications is used to decrease the number of bits required to store and transmit images without any quantifiable loss of information. The impact of using different lossless compression algorithms on the compression ratios and timings when processing various biometric sample data is investigated. The huge challenge in using biometric data is about the handling of enormous data. As this data is increasing day by day, it becomes difficult to store and transmit the data effectively and efficiently in less time. To solve this kind of problem, in this papers presents an Edge computing by Lempel–Ziv–Welch (LZW) Compression
MENINGKATKAN HASIL BELAJAR IPS SISWA KELAS V DENGAN MENGGUNAKAN MODEL PEMBELAJARAN KOOPERATIF TIPE STAD DI SD NEGERI 012 SEI LALA KECAMATAN SUNGAI LALA KABUPATEN INDRAGIRI HULU

The learning activities of Social Sciences (IPS) are part of the process of education in schools and have a role in life. One of them is thatsocial studies education has an important role in educating the life of the nation. Therefore, from time to time efforts are always made toimprove the quality of social studies education. Recognizing the importance of social studies education, efforts need to be made to improvethe learning process to improve student learning outcomes. Class action research is an improvement in the learning process to solveproblems faced by teachers in the classroom. Data obtained after research on teacher activities in the first cycle of the 1st meeting with apercentage of 50%, the second meeting with a percentage of 63%, in the second cycle at the third meeting percentage of 77%, and at the 4thmeeting the percentage obtained 86%. Observation data of student activities in this study obtained the percentage of the first cycle of the firstmeeting amounted to 52%, the second meeting was 61%, in the second cycle the third meeting was 75%, and the fourth meeting wasobtained 85% percentage proved that student activity has increased. Data on increasing learning outcomes of students in grade V SDN 012Sei Lala Kecamatan Sungai Lala in the initial data obtained an average of 60, in the daily test I obtained a class average of 75, and in dailytests, II obtained an average of 86. This proved that the STAD cooperative model in social studies learning is effectively used to improvesocial science learning outcomes of fifth-grade students.
DETECTING AND ESTIMATING THE LEVELS OF CROWD DENSITY FROM UAV IMAGERY

In recent years, unmanned aerial vehicles (UAVs) have increasingly been used in many civilian applications such as environment monitoring, aerial crop surveys, road monitoring, counting wildlife and fire detection. One of these applications is crowd monitoring and management especially in highly crowded areas such as sporting events and Hajj seasons. In this paper, color-based approach has been employed for detecting and estimating crowd density using UAV images. The Analysis of UAV images were performed under different cases of camera position and orientation including vertical, horizontal and close range camera. The results show that the method was able to detect the crowd among other image objects (e.g., buildings, vegetation and streets). In addition, the results were improved under vertical camera case comparing with those under close range or horizontal cases. This is due to the fact that the camera was focused on the crowd area more than other surrounding environment. Furthermore, the method performed well in Hajj images comparing with other images cases. This is because the number of feature classes was limited (mostly black and white). In order to improve the results, the associated anomalies/outliers have been eliminated from the segmented image through using image enhancement tools.