Reviewerly/exHarmony huggingface dataset:
A Framework for the Validation of Network Artifacts

Digital forensics has been of growing interest over the past ten to fifteen years despite being a relatively new scientic eld. Many technologies and forensics processes have been developed to meet the growing number of cases relying on digital artifacts. In this paper, we presents a framework for the validation of network artifacts in digital forensics investigations. Validation in the context of this work, refers to the overall probability of reaching the correct inferences about the artifacts, given a specic method and data. The main hypothesis of this work is that the validity of network artifacts can be determined based on probabilistic modelling of internal consistency of artifacts. The framework consists of three phases, namely: data collection, feature selection, and validation process. We demonstrate the functionality of the proposed framework using network artifacts obtained from Intrusion Detection Systems. Also, we assume that the initial acquisition of the network artifacts is forensically sound and steps are taken to ensure that the integrity of the artifacts is maintained during the data collection phase. A Monte Carlo Feature Selection and Interdependency Discovery algorithm is applied in selecting the informative features, while logistic regression is used as the probabilistic modelling methodology for the validation process. The experiment results show the validity of the network artifacts and can serve as a scientic methodology to support the initial assertions drawn from the network artifacts.
Pedogenic provenance analysis

The state of global warming in the last few years is appalling. The temperature increase on the Earth carries a serious ecological imbalance including decomposition of organic matter. The fate of the terrestrial carbon consists of an important issue due to the possibility of the occurrence of feedback mechanisms to atmospheric CO2 concentrations. The sensitivity of soil carbon to warming consists of suspense in the prediction of future carbon dioxide concentration and further climate changes. So far, many ecosystem models proposed show a positive impact of global warming on the microbial organic matter decomposition. However, a terrestrial experiment does not coincide with those reports—they show an initial limitation of CO2 loss from the soil as a consequence of warming. This work concluded an influence of climate warming on organic decomposition as well as a difference between labile and nonlabile soil organic carbon decomposition under global warming. Attention is also paid on the possible consequence that could be even stronger than predicted.
Computação Aplicada na Assistência Educacional em Doenças Crônicas Não Transmissíveis: um Mapeamento Sistemático

The purpose of this research is to identify studies that applied computing in the assistance of noncommunicable diseases (NCDs). The text presents the results of a systematic mapping study that used eight different data sources known in the academic field regarding both data science and health science, including papers published between 2008 and 2018. The search resulted in 20819 papers and 51 were selected for analysis. The results characterize the use of computing in the promotion of education in NCDs. Diabetes was the chronic disease prioritized (60.78%). About 49.02% of the solutions used data from the individuals to assist in their health conditions. In addition, 58.82% produced outcome measures by means of experiments.
Extension of Digital Media to Strengthen Learning Outcome with Online Approach in Inclusive School Students

This study aims to strengthen the learning outcomes of civic teachers by providing excellent service not only in learning process but also external activities beyond classrooms at inclusive schools. Research informants involved are inclusive students (with special needs), regular students, civic teachers, and school principals. The research approach is qualitative research of analytical descriptive. The process of collecting data encompasses process of observation, interviews, and documentation studies. The results indicate success in the learning process by significantly increasing the inclusive students' learning abilities. The activities of inclusive students were also better than before with their involvement in the I-Spring Suite-based education and training activities by all teachers.
University of East London Survey on Research Data Management 2019: A snapshot of practice

A survey was conducted by Library and Learning Services to learn more about opinions and practices in research data management from staff and postgraduate research students at the University of East London. It was hoped that a deeper understanding would enable development of technical infrastructure and advisory services as appropriate, delivered by LLS, IT Services, or other relevant stakeholders. Unfortunately, the survey received a low response rate due to several factors, including the time of year it was conducted. It has allowed us, though, to take a snapshot of data management practice at UEL—especially among postgraduate research students. UEL has a low number of externally funded researchers, meaning there are not many who are subject to the type of mandates and best practice for data management and sharing imposed by the Research Councils UK, for example. Changes in practice have since emerged in response to the new UEL Research Data Management Policy, published just a few weeks before this survey was launched: these are mainly represented by a dramatic increase in the number of data management plans being written by researchers (both staff and postgraduate). This has allowed us to identify trends and ‘pain points’ for researchers managing their data throughout the lifecycle, many of which reinforce the findings of the survey.
AN ANALYSIS OF CODE SWITCHING USED BY TEACHERS IN TEACHING ENGLISH TO YOUNG LEARNERS (A QUALITATIVE STUDY AT BUNGA MATAHARI INTERNATIONAL SCHOOL)

Name : Tursina Mutia Students Number : 1506102020015 ABSTRACT Department/Program : English Education/Undergraduate Title : “An Analysis Of Code Switching Used By Teachers In Teaching English To Young Learners” Key words: code switching, English classroom, English teachers, code-switching type, and code-switching reasons. This study focused on analyzing the use of code switching by teachers in bilingual classes in terms of types and reasons. The objective of this study is to measure the frequency of code switching occurrences and the reasons of using them. The subjects of this study were 2 English teachers at Bunga Matahari International School, Banda Aceh. They teach Grade 1 and Grade 4. Each teacher was observed and recorded for 2 meetings, so that there were 4 meetings altogether. Then they were also interviewed to gather the more specific data. The data collection was done through classroom observation and interviews. The result from observation shows that teacher grade 1 did intra-sentential code-switching 13 times (33.3%), inter-sentential code-switching 9 times (46.7%), and tag-switching 2 times (20%). Meanwhile, teacher grade 4 did intra-sentential code-switching 10 times (54%), inter-sentential code-switching 14 times (37.5%), and tag- switching 6 times (8.5%). With regard to reasons, grade 1 teacher used more code-switching for reiteration and grade 4 teacher used more code-switching for explaining discourse content. In conclusion, there are differences in the use of code switch used by grade 1 and grade 4 teacher because of different age level can determine different application of code switching in EFL classrooms.
Peningkatan Kompetensi Profesi Guru Memanfaatkan Media Pembelajaran Berbasis Information Technology melalui In House Training di SD Negeri 5 Gunuang Malintang

This School Action Research is intended to improve teachers’ competence in using IT-Based Learning Media. The study was conducted at SDN 05 Gunuang Malintang with 12 research subjects. The results of the data analysis which was collected through observation, interviewing, and tests indicated that the teacherss’ ability in utilizing IT-based learning media can be improved through IHT. The steps of IHT activities are as follows: (1). Distributing the initial test to the teachers, (2) The teachers worked on the initial test to determine the ability to use and utilize IT as a learning medium. (3) Providingmaterial perceptions about the use of IT-based learning media. (4) Providing services and guidance to teachers about the use of IT. (5) Providing opportunities for teachers to create and innovate in utilizing IT as a learning media. (6). Providing services and guidance to teachers during IHT. (7). Giving the final test. The results of this study are the teachers ability to utilize IT-based learning media can be improved through IHT at SDN 05 Gunung Malintang.
Tight Gas - a contribution to identification by using geophysics

Terminology applied to the nonconventional gas reservoirs has no unanimity.Sometimes it refers to lithology or rock properties.Such differences make difficult the appropriate use of a proper meaning for nonconventional gas reservoirs.This situation happens in case of tight gas, because there is no consensus about it.This paper focus mainly on distinct reservoir that have the same terminology applied to them and in particular, how the Geophysics can supports the identification.
ANALISIS EVAKUASI BENCANA TSUNAMI DENGAN METODE AGENT BASED MODELING STUDI KASUS GEDUNG PUSAT KEGIATAN MAHASISWA UNIVERSITAS BENGKULU

This study is designed to model the tendency of Gedung PKM users, Universitas Bengkulu using Agent Based Modelling Method. The vehicle survey is performed to obtain the peak-time period of parked vehicles in Gedung PKM. The questionnaire collecting is performed to obtain the information, which are later used to volume capacity ratio, volume, and road capacity. In this study, several road segments and alternative routes are observed during the evacuation. To inspect the suitability between the modelling and the observation, the simple linear regression analysis is performed. The results show that the most selected route is the shortest route with the best accessibility to reach the gateway, during the evacuation. The road saturation degree shows that there is a need to improve the local road performance in Universitas Bengkulu to ensure a faster evacuation process during tsunami.
Periti in italiano. Un percorso di formazione linguistica in un istituto tecnico

This paper presents the Italian language curriculum offered to the students of a vocational secondary school. The project aims to complete their vocational training by making them able to read and write for the professional needs of their future technical career.
PENGEMBANGAN APLIKASI E-MARKETPLACE SEBAGAI SOLUSI DIGITAL TERPADU YANG MEMPERTEMUKAN PETANI BERLAHAN SEMPIT DENGAN PEMBELI AKHIR

Farmers who in this case are smallholder farmers who do not have venture capital are forced to owe money to the middlemen in meeting their agricultural production needs. This will cause an unfavorable relationship between smallholder farmers and middlemen in selling their produce, also in determining the selling price of their production. Efforts that have been made by the government today are to improve various agricultural technologies in Indonesia to become more modern technologies. One solution in the IT field that will be applied to overcome this problem is the development of emarketplace applications that are able to shorten the trade chain by narrowing the space for middlemen, mafias and agricultural product hoarders. Preliminary data were obtained from observations and interviews with farmers in the Pekalongan district. The e-marketplace application process design uses UML (Unified Modeling Language), while the application interface design uses the LKT (Display Worksheet) tool. This application was built using web programming languages, in the form of php and html5. The database in this application was developed using MySQL software. In the testing phase both display and content with the GUI (Graphical User Interface) testing method. Testing the usefulness of this application is based on user responses obtained through the UAT (User Acceptance Test). The output of this research will produce an e-marketplace application that is expected to be able to bring farmers together with the final buyers, so farmers can offer their agricultural products competitively, and from the buyer side will get a relatively cheaper price. Keywords: e-marketplace, farmers, middlemen
LAYANAN BIBLIOMETRIKA UNTUK MEMUDAHKAN DALAM PENGEMBANGAN KOLEKSI DI PERPUSTAKAAN PERGURUAN TINGGI

The library as an institution that has a function to support research within the academy needs to be more creative to create opportunities in service and collection development policies. The purpose of this writing is to describe various aspects of the possibility of developing bibliometrics services in university libraries to streamline the development of collections. The results of data collectors using literature study, found various aspects of benefits for acquisition and selecting collections by developing bibliometrics based on citation analysis. Other aspects that need to be considered in the development of collections are the relevance of collections, reliability, form and format, objectivity, and review
Complexity in International Security

Leading international security expert Peter Sapaty introduces a new, high-level distributed processing and control approach capable of finding real-time solutions for irregularities, crises, and security problems emerging any time and in any part of the world.
LibGuides: Citation Styles: Citation manuals

A List of citation style guides... APA, MLA, ASA, CMoS (Chicago), CSE Lists several popular citation manuals with information on how to borrow them and links where available.
PERAN MAHASISWA PART TIME DALAM MANAJEMEN KOLEKSI DI PERPUSTAKAAN UNIVERSITAS ISLAM INDONESIA YOGYAKARTA

&lt;p&gt;Writing in this paper aims to see further which role or expected role of part-time students or workers who calculate the time in collection management or collection development in the Directorate of Library UII Yogyakarta. This needs to be seen because there are still many universities in Indonesia that still lack librarians, while librarians themselves have been more involved in fields that can be termed managers. In this paper will be examined to what extent part-time students are involved in collection management, is it possible to develop it to assist in the collection policy domain. The method used in this study is qualitative by means of interviews and observations. Based on observations and interviews, the involvement of part time students in the collection management process in the UII Library Directorate is limited to assisting technical problems, for involvement in policies all handled by the leadership in this case is the Library Director and Division Head in the UII Library. In this research, the author sees that it can still be developed the participation of the involvement in the policy making process, as an example that part time students are also users so that their opinions or ideas can be raised from them to create a collection development policy that is flexible and user friendly.&lt;/p&gt;
Text-Based Joint Prediction of Numeric and Categorical Attributes of Entities in Knowledge Bases

Collaboratively constructed knowledge bases play an important role in information systems, but are essentially always incomplete.Thus, a large number of models has been developed for Knowledge Base Completion, the task of predicting new attributes of entities given partial descriptions of these entities.Virtually all of these models either concentrate on numeric attributes (<Italy,GDP,2T$>) or they concentrate on categorical attributes (<Tim Cook,chairman,Apple>).In this paper, we propose a simple feedforward neural architecture to jointly predict numeric and categorical attributes based on embeddings learned from textual occurrences of the entities in question.Following insights from multi-task learning, our hypothesis is that due to the correlations among attributes of different kinds, joint prediction improves over separate prediction.Our experiments on seven FreeBase domains show that this hypothesis is true of the two attribute types: we find substantial improvements for numeric attributes in the joint model, while performance remains largely unchanged for categorical attributes.Our analysis indicates that this is the case because categorical attributes, many of which describe membership in various classes, provide useful 'background knowledge' for numeric prediction, while this is true to a lesser degree in the inverse direction.
Interpatient Similarity-based Imputation of Missing Data in Electronic Health Records

In the past few years, the development of systems for collecting patient data in the form of electronic health records (EHR) has progressed substantially. However, EHR data is generally heterogeneous, temporal, and incomplete (Hripcsak and Albers 2012). Because most of the analytical methods developed for data-driven prediction and modeling assume that the input data set has no missing data, there have been extensive efforts both in health care community and other fields to find the best methods for missing data pre-processing and imputation.
Choice Awareness and Manipulation Blindness: A cognitive semiotic exploration of choice-making and memory

“Choice blindness” (CB) refers to a certain tendency to accept a choice that is presented to us as if it were our own, even when we have never made it. In the last decade, CB has been treated as a research tool in a series of experiments in different domains and modalities (e.g. Johansson et al. 2005, 2008; Hall et al. 2010, 2013; Sagana et. al 2014; Cochran et al. 2016) in order to study the relation between choice-making and phenomena such as preference, intention, and introspection (Johansson et al. 2005, 2008). Recently, the focus has been drawn to the role of memory in CB, but such research is still very limited and mostly concerns eyewitness recollections (e.g. Sagana et al. 2013; Cochran et al. 2016; Stille et al. 2017). Our occasional failure to detect choice manipulation has not been yet fully explained (Johansson et al. 2005; Sagana et al. 2014), but is argued to have implications for the ideas we have of ourselves as reliable decision makers, the use of introspection as research method, and the scope of our conscious awareness (Johansson et al. 2008; Cochran et al. 2016).This thesis, through the prism of cognitive semiotics, explores the phenomenon of choice in its relation to memory, introducing a two-level hierarchy of choice-making. Through an experiment based on preference it investigates the way different factors, such as memory, consequence, and affectivity influence our choice- awareness. Forty-three participants were assigned two tasks combining 1) choices with a different degree of consequence (more/less) – based on different task instructions, and 2) a different degree of affectivity (high/low) – based on stimuli with different degree of abstractness. Participants were first asked to state their preference between two alternatives (choice) and then to confirm whether some of the (chosen and non-chosen) pictures that were presented to them belonged to their choices (memory). Lastly, they were asked to justify the reasons for their choices, although some of the trials had been manipulated (i.e. the preferred card was switched with the non- preferred one) (manipulation). Half of the manipulations were detected, while the majority of detections (75%) occurred for the choices participants remembered correctly. While consequence did not seem to influence detection, affectivity did. Unlike other choice experiments that investigate “blindness”, the results indicate that manipulation blindness is subject to varying factors, such as memory and affectivity, implying that we are aware of our choices and that we have, to different degrees, access to our intentional acts.
ANALISIS EVALUASI BAHAN PUSTAKA DALAM KEGIATAN PENGEMBANGAN KOLEKSI DI UPT PERPUSTAKAAN UNIVERSITAS DIAN NUSWANTORO SEMARANG

&lt;p&gt;&lt;span style="color: #242021;"&gt;&lt;span class="fontstyle0"&gt;Evaluation in the collection development aims to assess the strengths and weaknesses of the collection so that the collection provided in accordance with user needs. This study aims to reveal the evaluation activities conducted at UPT Dian Nuswantoro University Library Semarang. The research method used, that is descriptive-qualitative, with data collection method with literature study, interview and observation. The results show&lt;br /&gt;that evaluation process involve librarians, specialist subjects, lecturers and faculty staff. Collection evaluation is done by librarian to make list of book collection to be evaluated, then given to lecturer for ACC and chosen to be evaluated and weeded. Recommendations for this library are time management and optimization of the use of Information and Communication Technology (ICT) in the evaluation process in the development of collections.&lt;br /&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span style="color: #242021;"&gt;&lt;span class="fontstyle2"&gt;&lt;strong&gt;Keywords&lt;/strong&gt;&lt;/span&gt;&lt;span class="fontstyle0"&gt;: collection, evaluation, collection development, librarian.&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;
An Anatomy of a Hybrid Color Descriptor with a Neural Network Model to Enhance the Retrieval Accuracy of an Image Retrieval System

Background: In order to retrieve a particular image from vast repository of images, an efficient system is required and such an eminent system is well-known by the name Content-Based Image Retrieval (CBIR) system. Color is indeed an important attribute of an image and the proposed system consist of a hybrid color descriptor which is used for color feature extraction. Deep learning has gained a prominent importance in the current era. So, the performance of this fusion based color descriptor is also analyzed in the presence of Deep learning classifiers. Method: This paper describes a comparative experimental analysis on various color descriptors and the best two are chosen to form an efficient color based hybrid system denoted as combined color moment-color autocorrelogram (Co-CMCAC). Then, to increase the retrieval accuracy of the hybrid system, a Cascade forward back propagation neural network (CFBPNN) is used. The classification accuracy obtained by using CFBPNN is also compared to Patternnet neural network. Results: The results of the hybrid color descriptor depict that the proposed system has superior results in the order 95.4%, 88.2%, 84.4% and 96.05% for Corel-1K, Corel-5K, Corel-10K and Oxford flower benchmark datasets respectively as compared to many state-of-the-art related techniques. Conclusion: This paper depicts an experimental and analytical analysis on different color feature descriptors namely, Color Moment (CM), Color Auto-Correlogram (CAC), Color Histogram (CH), Color coherence vector (CCV) and Dominant Color Descriptor (DCD). The proposed hybrid Color Descriptor (Co-CMCAC) is utilized for the withdrawal of color features with Cascade Forward Back Propagation Neural Network (CFBPNN) used as a classifier on four benchmark datasets namely Corel-1K, Corel-5K and Corel-10K and Oxford flower.