Reviewerly/exHarmony huggingface dataset:
Bir İçerik-Tabanlı Ürün Öneri Yaklaşımı

In this study, a content-based recommendation approach is proposed. It utilizes the preprocessed 245 top movie summaries of IMDB and the favorite movie genres of the user elicited with the questionnaire method and then, recommends potential products -from a product pool- that the user can “like”. For testing; a test dataset that consists of real products from Amazon.com was created, and a Web application that uses the proposed approach and leads the users to evaluate the results of this approach was designed and developed. 52 volunteered subjects attended the test. The subject examined and graded each of the 10 products displayed. Grading was based on the five-level Likert-type scale “Not at all” (0%), “Slightly” (25%), “Moderate” (50%), “Very” (75%), and “Extremely” (100%). It is possible to say that the subjects are moderately liked the products. When the product evaluations are categorized in two categories as “liked” and “disliked”, it is possible to say that the subjects liked ~78.65% of the products. This approach could be integrated into e-commerce applications like Amazon.com for recommending potential products that the user can “like”.
EXPERIENCES IN TEACHING SOME SOFT SKILLS IN ENGINEERING

N. Dominguez-Vergara1, A.B. Dominguez-Perez2, D.N. Dominguez-Perez3 1Universidad Autónoma Metropolitana (MEXICO) 2Independent researcher (UNITED STATES) 3Universidad Nacional Autonoma de Mexico (MEXICO)
Perbandingan Usia Kronologis dengan Estimasi Usia menggunakan Metode Camiriere pada Pasien Laboratorium Radiodiagnostik FKG Universitas Brawijaya

Forensic odontology is one of the most reliable methods of identifying victims because it can withstand extreme environments and for a long time. One of the applications of the forensic branch is age estimation. One method of estimating age is the Cameriere method. This method uses a linear regression formula to calculate the estimated age in children by measuring the open apical using a panoramic radiograph. This study aimed to determine the difference between age estimation using the Cameriere method and chronological age in Radiodiagnostic Laboratory of the Faculty of Dentistry Brawijaya University patients. This study was an analytic observational study with a cross-sectional design 60 samples aged 5-15 years. Tooth measurements were calculated using the Image J application and then entered into Excel Program to calculate the estimated age using the Cameriere method. The Wilcoxon test showed there was no significant difference between the age estimation using the Cameriere method and the chronological age of the Radiodiagnostic Laboratory of the Faculty of Dentistry Brawijaya University patients (p&gt; 0.05). Thus Cameriere could be used as a way to estimate the age of children aged 5-15 years in the Radiodiagnostic Laboratory of the Faculty of Dentistry Brawijaya University.
Earthquake swarms and clusters in stable continental regions: a case study from Northern Norway&amp;#160;

&amp;lt;p&amp;gt;Parts of northern Norway, located between the rifted Mid Norwegian margin and the Northern Scandinavian mountains, are seismically active despite being situated in a stable continental region. Previously, seismic swarms have been observed in different places along the coast, but detailed studies on the swarms could not yet be carried out due to sparse seismic networks. During the last decade, the number of seismic stations has increased significantly, allowing for a more detailed study of the seismicity. Here, we develop a machine-learning-based earthquake catalog from eleven years of continuous data (2010-2021) and combine it with the earthquake catalog from the Norwegian National Seismic Network. To improve accuracy, we perform relative earthquake relocation using differential times, and clustering analysis based on waveform cross-correlation. The relocation results reveal distinct clusters of possibly repeating events and several swarm sequences. A prominent seismic swarm occurred in the Jektvik area between 2014 &amp;amp;#8211; 2016 with the largest magnitude of M&amp;lt;sub&amp;gt;L&amp;lt;/sub&amp;gt; 3.2. We compare the spatio-temporal distribution, b-value, seismic moment rate, and seasonal variation of each sequence. The Jetkvik swarm exhibits a diffusive pattern, which together with a low VP anomaly found by a previous tomography study suggests that fluids may play a role in the source process. We find that the possibly repeating clusters are not as diffuse in space, and mostly spread along the vertical axis. These earthquake clusters may be attributed to fault intersections, and fluids may not be a major factor in their generation.&amp;amp;#8239;&amp;lt;/p&amp;gt;
UNDERSTANDING RECOUNT TEXT THROUGH EGRA IMPLEMENTATION

Experience, Generalization, Reinforcement, Application (EGRA) technique is suitable for teaching writing. Teaching writing using EGRA techniques executes the students are easier to develop stories based on their experiences. This study focused on investigating the implementation of the EGRA technique in understanding recount text by the students at SMPIT Al-Hijrah 2 Deli Serdang. Specifically, the objective of this study is to find out the effect of the EGRA technique on students' writing ability in recount text. This study employs a quasi-experimental design, including a pre-test and post-test control group design—the Eighth-grade students at SMPIT Al-Hijrah 2 Deli Serdang as the population of the study. The researchers selected two classes of Eighth-grade students as the sample of this study. The sample selection used random cluster sampling, specifically the Eight-grade Al-Karim as the experimental class, which consisted of 30 students, and the Eighth-grade VIII Al-Mughni as the control class, which consisted of 30 students. The experimental class was taught using the EGRA technique, and the control class was taught using the conventional method. The data of this study were analyzed by using t-test formula. The result from calculating the data showed that the implementation of EGRA was effective to be applied in teaching students of the Eighth-grade students at SMPIT Al-Hijrah 2 Deli Serdang in writing recount text. In other words, it was revealed that the use of EGRA technique was effective enough to enhance the students' understanding in writing recount text. While the application of the conventional method was not effective in improving students' ability to understand recount text.Keywords: Writing, EGRA Technique, Understanding a Recount text
Didactic Synthesis of Physics and Biology in Solving Biophysical Problems at School

The article deals with the issues of combining physics and biology by solving biophysical problems in a specialized school. Based on the theory of integration of the content of natural science education, the concept of "didactic synthesis" is given as one of the levels of interdisciplinary integration of natural science knowledge. The authors, relying on an integrative-personal approach to the content of natural science education, show the possibility of forming scientific and theoretical thinking and the development of the natural science style of teaching and practical activities of high school students in solving biophysical problems of various types. The method of solving qualitative, quantitative, experimental and research biophysical problems is considered, which ensures the formation of proficiently significant mental neoplasms of high school students.
Adaptive Autoencoders Exploiting Content Preference for Accurate Recommendation

Recommender systems have been extensively studied these days. We note that the contents (e.g., genres or tags of movies) of an item are an important factor to determine whether a user prefers the item. Therefore, if available, it would be promising to take advantage of this information to improve the quality of recommendation. Along this line, this paper presents a novel hybrid recommendation framework called Adaptive Autoencoders Exploiting Content Preference. We first propose to use a new notion of content preference, which implies a user's impressions over different contents. We also propose an adaptive learning algorithm for effective training of Autoencoders used in our framework. We verify the superiority of our framework by comparing it with several baselines using real-world data.
Using Intermediate Data of Map Reduce for Faster Execution

Data of any kind structured, unstructured or semistructured is generated in large quantity around the globe in various domains. These datasets are stored on multiple nodes in a cluster. MapReduce framework has emerged as the most efficient technique and easy to use for parallel processing of distributed data. This paper proposes a new methodology for mapreduce framework workflow. The proposed methodology provides a way to process raw data in such a way that it requires less processing time to generate the required result. The methodology stores intermediate data which is generated between map and reduce phase and re-used as input to mapreduce. The paper presents methodology which focuses on improving the data reusability, scalability and efficiency of the mapreduce framework for large data analysis. MongoDB 2.4.2 is used to demonstrate the experimental work to show how we can store and reuse intermediate data as a part of mapreduce to improve the processing of large datasets.
The application of the peer assisted learning method in laboratory skills of newborn physical examination learning in diii midwifery students

Introduction: Learning methods are used to realize the applied learning strategies. Each learning method has its most prominent learning domain, such as cognitive (change of knowledge), affective (change of behavior), and psychomotor (change or improvement of skill). Midwifery is a profession that requires specific knowledge, attitudes, and skills that must be possessed and mastered. The process of achieving good competence of midwives starts with midwifery education. In achieving competence, midwifery students need theoretical and practical learning experiences in laboratory clinical skills. The Learning Pyramid developed by the National Training Laboratory shows that most students remember 90% of what they learn by teaching others. Objective: Determining the effect of the peer-assisted learning method application in laboratory skills for the physical examination of newborns learning. Method: This research used a Quasi-Experimental design with a pretest-posttest design. The sample was 30 students taken through the quota sampling technique, and the analysis used was the Wilcoxon Test. Result: The Peer-Assisted Learning method affected the learning outcome of skills in the physical examination of newborns with a significance level of P = 0.000 &lt; 0.05. Conclusion: The Peer-Assisted Learning method improves the physical examination skills of newborns of DIII midwifery students.
The path towards virtual currency: Demystifying cryptocurrency

The advancement of information technologies in recent decades has resulted in significant changes all across the globe.Even small businesses have been greatly impacted by the digital environment, which has necessitated changes in order to adapt to the current investment market dynamics.The rapid growth and increasing applications of Information and Communications Technology (ICT) is the main factor that drives cryptocurrency to be considered as a potential asset in investment portfolios.The purpose of the paper is to explain the meaning of cryptocurrency with rules and regulations as well as how blockchain works.Recent developments of cryptocurrency from Google trends, prices and market capitalization are presented.Authors also strive to filter the benefits, downsides, and SWOT analysis from previous studies and various web sources.The paper concludes that despite the challenges, cryptocurrency can be used for revolutionary financial transactions.
Data Hiding in 3D-Medical Image

Information hiding strategies have recently gained popularity in a variety of fields. Digital audio, video, and images are increasingly being labelled with distinct but undetectable marks that may contain a hidden copyright notice or serial number, or even directly help to prevent unauthorized duplication. This approach is extended to medical images by hiding secret information in them using the structure of a different file format. The hidden information may be related to the patient. In this paper, a method for hiding secret information in DICOM images is proposed based on Discrete Wavelet Transform (DWT). Firstly. segmented all slices of a 3D-image into a specific block size and collecting the host image depend on a generated key, secondly selected the block number and slice number, thirdly, the low-high band used for embedding after adding the generated number, fourthly, used the Hessenberg transform on the blocks that portioned the band (low-high) in a specific size. The secret information (image or text) is a binary value. It was embedded by setting the positive value in the diagonal to odd values if the embedded is one and setting it to even if the secret bit is zero. Several tests were applied, such as applying mean square error, peak signal to noise ratio PSNR, and structural similarity index measure SSIM. Some analyses such as adding noise, scaling, and rotation analysis are applied to test the efficiency. The results of the tests showed the strength of the proposed method.
Polarization Reconstruction Algorithm of Target Based on the Analysis of Noise in Complex Underwater Environment

How to effectively eliminate interference such as scattering, absorption, and attenuation is a hot topic of underwater photoelectric detection at present. Around the hot issues, this paper carries out studying the method of polarization-imaging recovery in a dynamic complex underwater environment from the theory of underwater radiation transfer, and numerical simulation of imaging interference characteristics to the simulation of underwater environment experiment. First, by conducting the analysis and simulation of scattering characteristics of underwater suspension particles and bubble by using the theory of radiation transfer, and taking advantage of quantitative description on changing tendency of radiation intensity and polarization properties of light waves in turbid water under the condition of scattering interference. Second, by constructing an underwater target polarization reconstruction model on the basis of the Mueller matrix analysis, and taking target polarization characteristic into reconstruction model on the basis of classical Schechner’s model, automatically estimating polarization information of target by the method of covariance. Finally, by building a polarization imaging system in the simulated complex underwater environment that contains bubble and suspended particles, obtaining reconstructed results with different underwater environments and different materials of target. According to experiment results, and compared with other traditional methods, using the proposed method in this paper can get higher resolution and higher contrast of target in the reconstructed result.
MERMAIDs in the South Pacific Ocean: Observations, Measurements, Modeling, Data Availability, and First Hints at Mantle Structure

&amp;lt;p&amp;gt;&amp;lt;br&amp;gt;MERMAIDs (Mobile Earthquake Recording in Marine Areas by Independent Divers) are seismic instruments which record local, regional and teleseismic earthquakes, and other signals, in the oceans. In the Southern Pacific Ocean, some fifty MERMAIDs are collecting acoustic pressure time series as part of the South Pacific Plume Imaging and Modeling (SPPIM) project. Deployed in 2018 and 2019 by members of the EarthScope-Oceans consortium, these instruments record continuous time series data on a one-year buffer and autonomously report a wealth of waveforms, selectively triggered mostly by teleseismic events, suitable for mantle tomography.&amp;amp;#160;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Listening for signals while roughly 1.5 km below the ocean surface, MERMAIDs' primary mission is to detect and deliver records of P-waves generated by distant earthquakes, and collectively they have returned many thousands of seismograms corresponding to such signals. We present highlights from our earthquake catalog and discuss the changing character and causes of the background noise. Whilst the South Pacific fleet is programmed to only send short seismic records, corresponding to confident identifications of teleseismic first arrivals, some records contain later-arriving phases. In addition to &amp;lt;em&amp;gt;P&amp;lt;/em&amp;gt;-waves, we present a miscellany of observations of other signals, including core phases, converted &amp;lt;em&amp;gt;S&amp;lt;/em&amp;gt;- and surface waves, and &amp;lt;em&amp;gt;T&amp;lt;/em&amp;gt;-phases. Furthermore, we illustrate that we are able to obtain other recorded data segments through buffer requests via satellite.&amp;amp;#160;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Data from the MERMAIDs owned by Geoazur and Princeton University that we report on here are being archived by IRIS&amp;amp;#8212;those from three instruments is available without embargo. We highlight MERMAID waveform availability and its utility to the scientific community via examples of their modeling and preliminary interpretations that can be made regarding wavespeed heterogeneity in the dynamic mantle below the Pacific Ocean.&amp;amp;#160;&amp;lt;/p&amp;gt;
Educating information literacy in students at academic libraries (The case study of Novosibirsk State University of Economics and Management)

The author reviews in brief the concepts of and terminology in information literacy and analyzes the content of “information literacy” concept. She emphasizes the need for information literacy knowledge and skills to promote sustainable personal development. The experience of the academic library of Novosibirsk State University of Economics and Management (NSUEM) in organizing practice-oriented lessons with innovative game models like “Intellectual work-shops”, “Bibliographic pursuit”, “Bibliographic hackathon”, is discussed. These models proved to be effective. The practice-oriented lessons and final assessment can be organized both online and offline. Individual student consulting is also significant for building information literacy. The author concludes that information literacy makes an essential part of continuing education. Academic libraries have every opportunity to promote, consult, and navigate their users through the world of information.
Smart application for soil description

&amp;lt;p&amp;gt;We develop a smart soil information system that allows to plan field experiments and create soil descriptions. It includes a dashboard, where one can build a terrain profile, see a supposed soil profile description at a selected point (based on different maps and all available information, all related objects such as maps, papers mentioning this locus, probabilistic distributions of soil properties with depth requested from available databases), and thus provides decision support at the level of planning field trips and experiments.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Another key component of the system facilitates the field description of the soil, and most importantly, creates it in a machine-readable form. The developed soil description module is based on a formalization scheme with a &amp;amp;#8220;data acquisition method&amp;amp;#8221; as its central element. The method contains all information about the types of described objects, resulting objects, type of soil property value and units. The system allows you to add and use any user-defined templates or description standards.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The application features smart suggestions which are continuously updated based on already supplied information and include for example properties such as horizon index and soil name in different classifications that are generated by machine-learning algorithms.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Formalized soil descriptions allow to further link all subsequent field and laboratory experimental results carried out on studied locations, soil surface, profiles and samples by different research groups. While detailed information of data acquisition method is important to further evaluate the data uncertainty.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;We plan to develop this project as an open-source, i.a. to expand the database of methods for description of soils and other landscape-related objects.&amp;lt;/p&amp;gt;
Simulation of hydrological and land surface variables over Iran &amp;#8211; a new 24/7 operational system based on the coupled WRF-SEBAL model

&amp;lt;p&amp;gt;Water scarcity is regarded as one of the most important issues in many dry climates, with serious impacts on the food security and national development. Since agriculture irrigation accounts for the most of water use worldwide, providing a water management system is of paramount importance to cope with water stress and its challenges. Agricultural water management is an interdisciplinary task including meteorological and environmental factors. In this work, we have established a 24/7 system to simulate those land surface variables, associated with evapotranspiration, biomass growth, and water deficit, using the Surface Energy Balance Algorithm for Land (SEBAL). SEBAL simulates the energy balance, using satellite data for shortwave and thermal bands, as well as soil and meteorological data (such as wind speed and humidity).&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;This system consists of 3 interconnected units: WRF model, Python implementation of the SEBAL model (pySEBAL), and a web-based management panel for the visualization, reanalysis, and publishing the results. The WRF model is run in a daily basis for 36 hours, starting from 12:00 UTC, to provide the meteorological data for the next day. At the next stage, the simulated WRF data after some required processing (converting formats and units of files and variables, etc.)&amp;amp;#160; will be incorporated as input data into the SEBAL model. The key data for the SEBAL model is the &amp;amp;#8220;Visible Infrared Imaging Radiometer Suite&amp;amp;#8221; (VIIRS) real-time data over the Suomi satellite, which is received automatically after tracking the satellite and picking the appropriate data files for download. SEBAL outputs include some of the variables with key role in agricultural water management, such as actual and potential evapotranspiration, biomass production and deficit, albedo, NDVI, etc, with a resolution of 375m over Iran.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The third part of operational system is a web-based panel, consisting of an open-source server to share and edit the SEBAL outputs. An open-source database management system for the client-based analysis of the SEBAL outputs, and an open-source JavaScript library for displaying the maps of the SEBAL outputs in web browsers.&amp;lt;/p&amp;gt;
INTERRELATIONSHIPS BETWEEN TEACHER JOB SATISFACTION AND ELEMENTS OF ORGANIZATIONAL CULTURE

R. Bubnys , I. VareikienėKaunas University of Technology, Panevežys Faculty of Technologies and Business (LITHUANIA)
Indoor Scene Splicing Based on Genetic Algorithm and ORB

The images generated by the image stitching algorithm have false shadow and poor real-time performance, and are difficult to maintain visual consistency.For this reason, a panoramic image stitching algorithm based on genetic algorithm is proposed.First, the oriented fast and rotated brief (ORB) algorithm is used to quickly perform detection and description of feature, then the initial feature point pairs are extracted according to the Euclidean distance for feature point rough matching, the parallelism of genetic algorithm is used to optimize the feature point matching performance.Finally, the PROSAC algorithm is used to remove mismatched point pairs and get the transformation matrix to complete the image stitching.