Reviewerly/exHarmony huggingface dataset:
Prevalence and predictors of data and code sharing in the medical and health sciences: systematic review with meta-analysis of individual participant data

Abstract Objectives To synthesise research investigating data and code sharing in medicine and health to establish an accurate representation of the prevalence of sharing, how this frequency has changed over time, and what factors influence availability. Design Systematic review with meta-analysis of individual participant data. Data sources Ovid Medline, Ovid Embase, and the preprint servers medRxiv, bioRxiv, and MetaArXiv were searched from inception to 1 July 2021. Forward citation searches were also performed on 30 August 2022. Review methods Meta-research studies that investigated data or code sharing across a sample of scientific articles presenting original medical and health research were identified. Two authors screened records, assessed the risk of bias, and extracted summary data from study reports when individual participant data could not be retrieved. Key outcomes of interest were the prevalence of statements that declared that data or code were publicly or privately available (declared availability) and the success rates of retrieving these products (actual availability). The associations between data and code availability and several factors (eg, journal policy, type of data, trial design, and human participants) were also examined. A two stage approach to meta-analysis of individual participant data was performed, with proportions and risk ratios pooled with the Hartung-Knapp-Sidik-Jonkman method for random effects meta-analysis. Results The review included 105 meta-research studies examining 2 121 580 articles across 31 specialties. Eligible studies examined a median of 195 primary articles (interquartile range 113-475), with a median publication year of 2015 (interquartile range 2012-2018). Only eight studies (8%) were classified as having a low risk of bias. Meta-analyses showed a prevalence of declared and actual public data availability of 8% (95% confidence interval 5% to 11%) and 2% (1% to 3%), respectively, between 2016 and 2021. For public code sharing, both the prevalence of declared and actual availability were estimated to be &lt;0.5% since 2016. Meta-regressions indicated that only declared public data sharing prevalence estimates have increased over time. Compliance with mandatory data sharing policies ranged from 0% to 100% across journals and varied by type of data. In contrast, success in privately obtaining data and code from authors historically ranged between 0% and 37% and 0% and 23%, respectively. Conclusions The review found that public code sharing was persistently low across medical research. Declarations of data sharing were also low, increasing over time, but did not always correspond to actual sharing of data. The effectiveness of mandatory data sharing policies varied substantially by journal and type of data, a finding that might be informative for policy makers when designing policies and allocating resources to audit compliance. Systematic review registration Open Science Framework doi: 10.17605/OSF.IO/7SX8U .
Speak, Memory: An Archaeology of Books Known to ChatGPT/GPT-4

In this work, we carry out a data archaeology to infer books that are known to ChatGPT and GPT-4 using a name cloze membership inference query. We find that OpenAI models have memorized a wide collection of copyrighted materials, and that the degree of memorization is tied to the frequency with which passages of those books appear on the web. The ability of these models to memorize an unknown set of books complicates assessments of measurement validity for cultural analytics by contaminating test data; we show that models perform much better on memorized books than on non-memorized books for downstream tasks. We argue that this supports a case for open models whose training data is known.
Hierarchical Petri Nets for Story Plots Featuring Virtual Humans

Petri Nets can be used for a retrospective analysis of a computer game story, for representing plots in serious games as well as for monitoring the course of the story, as recently demonstrated by several authors. It was not clear, however, whether Petri Nets can be used for representing plots and for their unfolding in games that feature large worlds inhabited by virtual humans. This paper demonstrates that this is indeed possible, presenting several scenarios from the serious game Karo, an ongoing project, which features both virtual humans driven by reactive planning and a story manager unfolding story plots represented and controlled by Petri Nets. However, a specific refinement of Petri Nets, a hierarchical model capitalising on Timed Coloured Petri Nets and non-deterministic FSMs, had to be developed for this purpose. This refinement is described here, including general discussion showing why individual features of this refinement are needed - directions for game developers considering whether to use this technique, or not.
Can Connectionist Models Exhibit Non-Classical Structure Sensitivity?

Several connectionist models have been supplying non-classical explanations to the challenge of explaining systematicity, i.e., structure sensitive processes, without merely being implementations of classical architectures. However, lately the challenge has been extended to include learning related issues. It has been claimed that when these issues are taken into account, only a restricted form of systematicity could be claimed by the connectionist models put forward so far. In this paper we investigate this issue further, and supply a model and results that satisfies even the revised challenge.
DESAIN SISTEM INFORMASI GEOGRAFIS DAERAH RAWAN BANJIR KABUPATEN JEMBER

Geographic information system flood prone areas Jember district is a system that can provide information on flood-prone areas in each district where the vulnerable areas are obtained based on the calculation of fuzzy Tsukamoto accordance with the provisions that have been determined, in addition to providing information prone areas can also provide information the health facilities and the events that preceded the flood. This system is implemented in the form of digital map information with the aim to further facilitate the delivery of information. The data used was obtained from BPBDs (Regional Disaster Management Agency) and BPEKAP (District Development Planning Agency) Jember are then processed into a system suitable and appropriate. At the end result of this system will display information about flood-prone areas, health facilities, as well as data that precedes the events that are implemented in the form of digital maps for easier delivery.
KINERJA KOMPUTASI TERDISTRIBUSI BERBASIS LAYANAN WEB MENGGUNAKAN METODE SOAP SIMPLE OBJECT ACCESS PROTOCOL

Technology web services (Web Service) published to overcome the problems interoperabillitas  between  applications  is  a  major  obstacle  in  the  process  of  data integration.  This  technology  is  a  distributed  computing  technology  that  is  widely  used because of its simplicity and flexibility than previous technologies. There are three methods of data exchange which has been standardized in this technology, one of which is a SOAP (Simple Object Access Protocol) is a protocol for the exchange of information with a remote procedure call mechanism through HTTP protocol in the form of XML. These methods has been widely applied in many cases but still have not measured the performance of this method, especially in the execution of data. In this study, the method of exchan ge of SOAP tested its performance in a distributed environment with different server platforms. Performance measurement results show the method has the SOAP protocol that is easy to understand by the client for the service descriptions using the standard WSDL (web services description language), while a web server that has the best performance in executing SOAP is a web server NGINX
NO-ARGUMENTS Denials, Refutations, Negations and the Constitution of Arguments

17.2013: “” Characteristica Universalis Journal, Anno 1, Nr. 1, Annuarium 2013, pp 18-47, ISSN 2313-9501.
Message from the Workshop Chairs

We are pleased to welcome you to the proceedings of the 2014 International Workshop on Agents and Data Mining Interaction (ADMI 2014), held jointly with AAMAS 2014. In recent years, agents and data mining interaction (ADMI, or agent mining) has emerged as a very promising research field. Following the success of previous ADMIs, ADMI 2014 provided a premier forum for sharing research and engineering results, as well as potential challenges and prospects encountered in the coupling between agents and data mining. The ADMI 2014 workshop encouraged and promoted theoretical and applied research and development, which aims at:
Eet Lab Courses: From The Classroom To The Web From Research To Practice

In the rush to offer courses, programs, or degrees on-line, there have been many approaches to solving the problem of including laboratory work in engineering technology programs.One approach to developing (or adapting) electronics engineering technology laboratory courses for delivery on the World Wide Web is presented in this paper.Research demonstrating the feasibility of using simulation software for the conduct of electronics lab courses on line is given as background information and used as a backdrop for the on-line laboratory pedagogy.Subsequently, the development of laboratory courses in DC circuits and AC circuits is discussed.Course content, course pedagogy, and course management are included.Successes and weaknesses from our initial attempts and information gleaned from continuing research are presented.Finally, there are suggestions for others who are developing, or contemplating, online EET laboratory courses.
SISTEM INFORMASI GEOGRAFIS PENCEGAHAN DINI PENYEBARAN DEMAM BERDARAH DI KABUPATEN JEMBER MENGGUNAKAN METODE FUZZY

D engue Hemorrhagic Fever (DHF) is a contagious disease that is still a public health problem. Based on the data on the number of dengue cases from 2012 to 2014, almost evenly spread of dengue fever in the district of Jember with dengue incidence rate tends to increase during the period of observation. Therefore we need a way to predict the potential spread of dengue fever in the district of Jember so it can be done early prevention. Factors - factors that affect the spread of dengue disease is rainfall (CH), the number of days of rain (HH), larva free number (ABJ), and the house index (HI) that influence vector breeding dengue disease. In this study developed a Geographic Information System using Fuzzy method to predict the spread of dengue fever by using parameters rainfall, number of rainy days, larva-free numbers, and house index in Jember. From the results of testing the potential for the spread of dengue in 31 districts of Jember district during the  month  of  February  2014  produced  24  districts  have  the  same  comparison  between  the potential spread and the number of dengue cases, while 7 other districts do not correspond to the potential spread of dengue obtained accuracy of 77%.
On Realizing Planning Programs in Domains with Dead-End States

Agent planning programs are finite-state programs, possibly containing loops, whose atomic instructions consist of a guard, a maintenance goal, and an achievement goal, which act as precondition-invariance-postcondition assertions in program specification. The execution of such programs requires generating plans that meet the goals specified in the atomic instructions, while respecting the program control flow. Recently, De Giacomo et al. (2016) presented a technique, based on iteratively solving classical planning problems with action costs, for realizing planning programs in deterministic domains. Such a technique works generally well for domains with no or very few dead-end states. In this paper, we propose an enhancement of this technique to handle deterministic domains that have potentially many dead-end states, and we study the effectiveness of our technique through an experimental analysis.
Improving Plan Quality through Heuristics for Guiding and Pruning the Search: A Study Using LAMA

Admissible heuristics are essential for optimal planning in the context of search algorithms like A*, and they can also be used in the context of suboptimal planning in order to find quality-bounded solutions. In satisfacing planning, on the other hand, admissible heuristics are not exploited by the best-first search algorithms of existing planners even when a time window is available for improving the first solution found. For example, in the well-know planner LAMA, better solutions within such a time window are sought by restarting a Weighted-A* search guided by inadmissible heuristics, each time a better solution is found. In this paper, we investigate the use of admissible heuristics in the context of LAMA for pruning nodes that cannot lead to better solutions. The revised search of LAMA is experimentally evaluated using two alternative admissible heuristics for pruning and three types of problems: planning with soft goals, planning with action costs, and planning with both action costs and soft goals. Soft goals are compiled into hard goals following the approach of Keyder and Geffner. The empirical results show that the use of admissible heuristics in LAMA can be of great help to improve the planner performance.
Using An Expert System To Recognize And Remediate Student Errors

Computer-based instruction systems commonly present information and then attempt to get some feedback from the student in order to engage the student in the process.Most of these feedback mechanisms involve multiple choice quizzes or entering a value.In the case of a multiple choice quiz, the student may be directed to some remediation.Having the student enter a value in response to a specific request requires more thought and effort on the student's part, but opens the door to a seemingly infinite number of wrong answers.Can these two systems be reconciled, and is there a better way to engage the student?An expert system developed at the school can recognize a correct response as well as an incorrect response.A system for allowing the student to enter calculation in a symbolic form has also been developed to facilitate more abstract input.If an error has been made by the student, the system presents remediation topics based on the type of error.Thus specific student error types can be addressed saving time and frustration with the instruction process.This paper presents a description of the expert system and how it is implemented and integrated into an Engineering Statics course.
Development And Implementation Of A Masters Program In Computer Information Technology

In this paper, we describe the process of developing and implementing the masters program in computer information technology (MSCIT) at Northern Kentucky University (NKU).The major goal of this paper is to present the structure of the curriculum.The curriculum is divided into the following components: bridge courses, intermediate core courses, advanced core courses, elective courses.We incorporate flexibility in our program by including many interdisciplinary elective courses.We also include in this paper how we assessed the need of such a program.For this, we carried out following steps: conduct a survey to analyze the industry demand, conduct a survey that explore students' interest in this program, analyze the job demand in Cincinnati metro area by investigating current job offers, investigate existing graduate IT programs at other universities, and prediction of job market trends as described by department of labor.
Experiences With Academic Publishing On The Internet: A Look At The Technology Interface

This paper discusses the experiences of publishing academic papers through Internet journals such as the Technology Interface.While Internet publishing creates many opportunities for exchanging information, this can also cause concern for ownership, proper cataloging, citing, and archiving.Also, the Internet is a dynamic environment.Many questions arise due to the use of Internet publications.For example, should journal documents be allowed to change once placed on-line?Can a previously published paper be updated?Should guidelines for publishing on the Internet be different than the printed press?Should articles be published in HTML format or another such as Adobe Acrobat?Who should pay for the opportunity to publish on the Internet?This paper will address these issues and includes a discussion of the experiences with the Technology Interface.
Standard Versus Non Standard An Analysis of Language Used for Formal Business Communication through E-mails

Internet language is currently recognized as a new language variety for its neologisms, novel syntax, for its rapid growth and many more reasons. It is also feared and viewed by many for its lax standards and impact on particular languages and language in general. This research attempted to observe whether these varied uses and standards of internet language have affected formal business communication carried out through e-mails by analyzing the discourse of 174 actual emails used for formal communication in different sectors such as government, private, and nongovernment against language standards of formal letters.
There Is No Theory of Everything

Associate Professor of Physics Lars English’s new book turns “the theory of everything” on its head.
Mutual Fund Flows and Fund's Strategic Behavior When Investors Are Inattentive

The R & P seminar held Wing 11 Committee Room, IIM Ahmedabad on September 04, 2017 by Dr. Apoorva Javadekar, Research Director, CAFRAL on Mutual Fund Flows and Fund's Strategic Behavior When Investors Are Inattentive
Enhancing the JPEG Image Steganography Security by RSA and attaining High Payload using Advanced DCT Replacement and Modified Quantization Table

Steganography deal with hiding information science, which offers an ultimate security in defence, profitable usages, thus sending the imperceptible information, will not be bare or distinguished by others. The aim of this paper is to propose a novel steganographic method in JPEG images to highly enrich a data security by RSA algorithm and attains higher payload by modified quantisation table. The goals of this paper are to be recognised through: 1) modify the quantisation table of the JPEG-JSTEG tool, hiding secret message with its middle frequency to offer great embedding capacity; 2) for challenge, secure RSA algorithm is used to prevent data from extraction. A broad experimental evaluation compares the performance of our proposed work with existing JSTEG was conducted. This algorithm resulted in greater PSNR values and steganogram histogram is more similar. Experimental results reported that the proposed system is a state-of-the model, contributing abundant payload and beating the statistical revealing. Besides, our method has better in all the parameters than JPEG-JSTEG method.
Cross-Domain Interoperability Using Federated Interoperable Semantic IoT/Cloud Testbeds and Applications: The FIESTA-IoT Approach

The Internet-of-Things (IoT) [61] has been identified as one of the main pillars of the world’s economies and the technology enabler for the evolution of the societies and for the future developments and improvement of the Internet [4]. A large number of research activities in Europe have been working in this direction i.e. FP7 projects in the context of Future Internet Research and Experimentation (FIRE) initiative. FIRE projects have already demonstrated the potential of IoT technologies and deployments in a number of different application areas including transport, energy, safety and healthcare. FIRE deployments and project results have also demonstrated the advantages of implementing Smart Cities testbeds (national and EU scale) both have been extensively reported in [5]. Smart City testbeds are the key places for large demonstration of IoT concepts and technology. Smart cities testbeds are prone to be large scale, highly heterogeneous and target a diverse set of application domains.
Medical information Recommendation based on Scenario Model and User Preference in Mobile Internet Era

The optimization of the mobile web environment and the popularity of smart phones and other mobile devices enable users to access to Internet at any time and any place, not restricted by the location.By smart phone, people can access to medical information more convenient, but in fact, users really find their required information and begin to pay attention, still need a longer operating path.In order to solve the users' pain points, we propose a recommendation system architecture that combines the scene model to enable users to personalized medical information, at the right time, right place, convenient access to the medical information he, does not need to consume a lot of energy to make their required medical information.
Research on Wavelet Analysis and Its Application in Image Processing

Wavelet transform is a new type of mathematical tool, is the late 80s developed rapidly emerging disciplines.Wavelet transform has the characteristics of multi-resolution, in the time domain and frequency domain has the ability to characterize the local characteristics of the signal, suitable for analysis of non-stationary signal, you can gradually observe the signal by the coarse and fine.The theory and method of wavelet analysis are widely used in signal processing, image processing, speech processing, pattern recognition, quantum physics and so on.It is considered a major breakthrough in tools and methods in recent years.
HANDWRITTEN CHARACTER RECOGNITION

Handwritten characters are seen everywhere in our day-to-day life. Almost all the things we do involve letters, from writing cheques to writing notes manually. Handwritten character recognition is considered as a core to a diversity of emerging application by using the concepts of machine learning. It is used widely for performing practical applications such as reading computerized bank cheques. However, executing a computerized system to carry out certain types of duties is not easy and it is a challenging matter. There is huge variability and ambiguity of strokes from person to person. Handwriting style of an individual person also varies from time to time and is inconsistent. There are many challenges which we have to deal with while understanding handwritten text. Poor quality of the source document/image due to degradation over time can affect the way of understanding the characters. However, we can find a solution for this using machine learning. This paper illustrates a model which interprets handwritten character accurately with the help of data set which we used to train the data model. The main objective of this paper is to ensure effective and reliable approaches for recognition of handwritten characters.
An assessment of classification with hybrid methodology for neural network classifier against different classifier

This research is an assessment of classification with neural network classifier (NNC) against various classifiers centred on working effectiveness of various classifiers. We have compared resultant factors of NBC with other two algorithms, namely ripple down rule learner (RIDOR) and simple cart in order to get comparatively efficient and accurate results. NBC performs well on categorical as well as on numerical data. Along these lines, we have proposed a model of a hybrid technology of analysing accuracy proportion of NNC with NBC, rule-based classifiers and tree-based classifiers on diagnosis of heart disease dataset. Algorithms which we have used here are NBC, ripple down rule learner (RIDOR) and simple cart. This work considered substantial dataset and distinctive methodology for the connected classifier work NBC calculation, is taken as base methodology and every methodology like RIDOR and simple cart are utilized for examination, so as to anticipate heart disease status of patients.