Reviewerly/exHarmony huggingface dataset:
Research on Scenic Spots Recommendation Algorithm Based on Tourism Big Data

In order to solve the data sparsity problem existing in the traditional collaborative filtering recommendation algorithm, a collaborative filtering recommendation algorithm for scenic spots based on multi-dimensional feature clustering was proposed. Firstly, the users are clustered and classified according to the feature vector. Then we determine the category of the target user. Building user-scenic spot score matrix, on this basis, the user-scenic spot attention matrix is added. In order to optimize the traditional similarity recommendation algorithm, the attention matrix and the score matrix are linearly combined with the balance factor to calculate the similarity between users. In addition, the similarity threshold is introduced to determine the similar neighbor set. And recommend scenic spots to the target user according to the users in similar neighbor set. Finally, the MAE of the algorithm and the traditional recommendation algorithm are compared by using the tourism related data of Qingdao City crawled on the Mafengwo tourism website. The experimental results show that the algorithm proposed in the paper not only reduces the sparsity of data, but also improves the recommendation accuracy and has better stability.
Deconvolution of dust mixtures

While most evidence types considered by forensic scientists result from the interactions between criminals, objects or victims at crime scenes, dust evidence arises from the mere presence of individuals and objects at locations of interest. Dust is ubiquitous. Yet, the use of dust evidence is anecdotical and is limited to cases where rare and characteristic particles are observed. The dust at any given location contains a large number of particles from different types and the dust present on an object or individual traveling across locations may be indicative of the locations recently visited by an individual, and, in particular, of the presence of an individual at a particular site of interest, e.g., the scene of a crime. In this paper, we propose to represent dust mixtures as vectors of counts of the individual particles, which can be characterised by any appropriate analytical technique. This strategy enables us to describe a dust mixture as a mixture of multinomial distributions over a fixed number of dust particle types. Using a latent Dirichlet allocation model, we make inference on (a) the contributions of sites of interest to a dust mixture, and (b) the particle profiles associated with these sites.
Pelatihan Kerajinan Decoupage Sebagai Cara untuk Menumbuhkan Budaya Literasi Kaum Perempuan

There are two goals to be achieved through this activity, firstly providing women with decoupage crafting skills that can be used as capital to make an effort to improve the family economy.Second, this activity aims to encourage women's curiosity about crafting decoupage by finding information from reading in the library.This training activity was conducted at Kampung Buku Taman Bacaan Masyarakat (TBM), Ciracas Village, Cibubur District, East Jakarta and took place in one meeting from 08.00 to 12.00.The training participants consisted of 27 mothers and young women who lived around the Kampung Buku Taman Bacaan Masyarakat Cibubur.The training was facilitated by the alumni of Faculty of Psychology who was a decoupage handicraft entrepreneur, and assisted by students and lecturers of Atma Jaya Catholic University of Indonesia as facilitators.In general, the results of these activities cannot be measured using numbers.The results of this activity were an increase in knowledge and skills of participants to make decoupage handicrafts and their curiosity by searching for information from books in the library.
Socio-economic determinants of agripreneurship choice among youths in Ebonyi State, Nigeria

The study determined effects of socio-economic characteristics of the youths on agripreneurship choice. The study adopted a multistage sampling technique in eliciting data from one hundred and eighty youth agripreneurs using structured questionnaires. The study also employed percentage, mean and probit regression analysis statistics to realize the objectives. The result showed that about 60% of the youth agripreneurs in Ebonyi State, Nigeria were male who are within the mean active age of 27 years and earn a mean annual income of N77, 333 and average household size of five 5 persons. The agripreneurial choices made by most youths were; farm production (crop and livestock production), farm input supply, agro-processing, and marketing/distribution. Age, marital status, household size, education, annual income, source of capital and family agripreneurial history have strong significant effect on the agripreneurial choice among the youth. Agripreneurship education and training should be introduced at tri-aggregates levels of agribusiness to ensure capacity building among the youth for diverse agro-enterprises.Keywords: Farm production, agripreneurship choice
To OA or Not to OA?

What are the main reasons for our scientists not to choose Open Access to their publications? Are the reasons just misconceptions, or are there some valid reasons as well?&#x0D; Adviser Aysa Ekanger at the University Library at UiT The Arctic University of Norway lays out the main reasons and some of the solutions to the concerns with Open Access. The host of this episode is Erik Lieungh.&#x0D; You can also read a more detailed overview of the possible obstacles on the road to Open Access in this whitepaper from @OPERASEU. OPERAS is a European research infrastructure for the development of open scholarly communication, particularly in the social sciences and humanities.&#x0D; This episode was first published 2 October 2018.
Voces de la Ciberviolencia

The article aims to document the types of cyberviolence faced by 120 students of an urban high school in the cd. Toluca. Understood as an aggressive and intentional act online is about “sending and posting harmful or cruel texts or images over the Internet or other digital media” (Willard, 2005). Based on a mixed research design, the “online violence” self-report was applied, which allowed to identify trends and subsequently, from a narrative generating question, the experience stories with online violence were recovered.
Relationship between qualitative physics and fuzzy logic in natural subsystems

The purpose of this research is to present a comparison between the two ad hoc appearance and control techniques of conceptual systems. In that respect, it is a description of the interconnected notion between the principle of qualitative physics and of ambiguous quality. On that basis the first point is to determine the key feature of each approach is significant. In the early stages of the product development and forecasting process, a large number of input energies were used for its creation. However, they are still being used in nature, though not subjectively impure. Therefore, this research presents the concept of the relationship between qualitative physics and fuzzy logic in terms of developing predictive outputs and using logical resources. Finally, the relationship between qualitative physics and fuzzy logic processes has been proven with the support of the selected natural subsystem.
Hybrid image inpainting using reproducing kernel Hilbert space and dragonfly inspired wavelet transform

This paper intends to propose a new inpainting model that based on Mumford Shah (MS) modelling, where the original image is gained accurately by doing inpainting process in the masked image. Here, discrete wavelet transform (DWT) is used for processing with the digital image. Further, to find the optimal filter coefficients from DWT, a renowned optimisation technique named dragonfly (DA) is used. Moreover, the smoothing of image is process via reproducing kernel Hilbert smoothing model. The proposed dragonfly optimised DWT kernel-MS (DODWTK-MS) model compares its performance with other conventional methods in terms of second derivative measure of enhancement (SDME), peak signal-to-noise ratio (PSNR), signal-to-noise ratio (SNR), mean squared error (MSE) and edge similarity and the efficiency of the developed model is explained.
COMPLEX ORTHODONTIC-IMPLANT TREATMENT IN INCISOR HYPODONTIA CASES

Purpose:The purpose of the current paper is to show clinical cases with unilateral and bilateral incisal hypodontia, treated with complex orthodontic -implant treatment.Materials and methods: 3 representative clinical cases are included with interdisciplinary complex treatment protocol attached: case 1 -asymmetric upper right lateral incisor hypodontia, case 2 -symmetric upper lateral incisors hypodontia and case 3 -symmetric lower central incisor hypodontia.Cases are followed over ten and a half and eight years retention period.The interdisciplinary treatment protocol includes the following stages:First stage: Pretreatment preparation to form a crew, planning the type of the manipulations, sequence and duration, finance plan, discussion of the treatment plan and alternative options with the patient, signed informed consent.Second stage: Orthodontic treatment.Third stage: Implant restorations.Fourth stage: Aesthetic prosthetic restorations.Retention period.Results: In all three cases, aesthetics were improved.We obtained the correct ratio of the upper lip to the dental arch.Paralleling the roots of the frontal teeth and their levelling up provided correct, balanced occlusal and proximal contacts, which improved the function and provided stability of the treatment results. Conclusion:The complex orthodonticimplantology approach for the treatment of single tooth hypodontia the tooth arch is successful and ensures optimal and lasting restoration of function and aesthetics of the dental-jaw system.
Design of candidate schedules for applying iterative ordinal optimisation for scheduling technique on cloud computing platform

In cloud computing, distributed resources are used on demand basis without having the physical infrastructure at the client end. Cloud has a large number of users and to deal with large number of task, so scheduling in cloud plays a vital role for task execution. Scheduling of various multitask jobs on clouds is considered as an NP-hard problem (Horng and Lin, 2017). In order to reduce the large scheduling search space, an iterative ordinal optimisation (IOO) method has already proposed. In this paper, a set of 30 candidate schedules denoted by set U are created. The set U is used in the exhaustive search of the best schedule. After analysing the set U, an ordered schedule vs. makespan graph is plotted. So in this work, set U is defined and created a base for applying IOO method to get optimal schedules. In this work, CloudSim version 3.0 has been used to test and analyse policies.
Analysis of students' motivation in choosing a foreign language course at non-affiliated departments

The paper focuses on studying students" motivation when they sign up for a foreign language course at the non-affiliated departments at the Faculty of Philosophy, Niš.These courses are created with the conviction that they will develop motivation for foreign language learning if they are better suited to students" interests and needs.The paper deals with students" behaviour during the English language course at the nonaffiliated departments and with their attitudes towards the course they chose.This course is often conceived as English for specific purposes (ESP).Students" behaviour and motivation during the English language course will be determined on the basis of the complex dynamic systems theory.This theory is based on the assumption that students" motivation depends on personal interest and students" engagement during the English language course, but also on the dynamic factors in the classroom.The paper is based on the results of a questionnaire and observations made during the course.The results show that most students sign up for the English language course because of the contents of the course and that most students want to acquire general knowledge of English language and culture during the course.
Development and validation of a pancreatic cancer prediction model from electronic health records using machine learning.

679 Background: Pancreatic Adenocarcinoma (PDAC) is often diagnosed at an advanced stage. We sought to develop a model for early PDAC prediction in the general population, using electronic health records (EHRs) and machine learning. Methods: We used three EHR datasets from Beth-Israel Deaconess Medical Center (BIDMC) and Partners Healthcare (PHC): 1. “BIDMC-Development-Data” (BIDMC-DD) for model development, using a feed-forward neural network (NN) and L2-regularized logistic regression,randomly split (80:20) into training and test groups. We tuned hyperparameters using cross-validation in training, and report performance on the test split. 2. “BIDMC-Large-Data” (BIDMC-LD) to re-fit and calibrate models. 3. “PHC-Data” for external validation. We evaluate using Area Under the Receiver Operating Characteristic Curve (AUC) and compute 95% CI using empirical bootstrap over test data. PDAC patients were selected using ICD9/-10 codes and validated with tumor registries. In contrast to prior work, we did not predefine feature sets based on known clinical correlates and instead employed data-driven feature selection, specifically importance-based feature pruning, regularization, and manual validation, to identify diagnostic-based features. Results: BIDMC-DD included demographics, diagnoses, labs and medications for 1018 patients (cases = 509; age-sex paired controls). BIDMC-LD included diagnoses for 547,917 patients (cases = 509), and PHC included diagnoses for 160,593 patients (cases = 408). We compared our approach to adapted and re-fitted published baselines. With a 365-day lead-time, NN obtained a BIDMC-DD test AUC of 0.84 (CI 0.79 - 0.90) versus the previous best baseline AUC of 0.70 (CI 0.62 - 0.78). We also validated using BIDMC-DD’s test cancer patients and BIDMC LD controls. The AUC was 0.71 (CI 0.67 - 0.76) at the 365-day cutoff. NN’s external validation AUC on PHC-Data was 0.71 (CI 0.63 - 0.79), outperforming an existing model’s AUC of 0.61 (CI 0.52 - 0.70) (Baecker et al, 2019). Conclusions: Models based on data-driven feature selection outperform models that use predefined sets of known clinical correlates and can help in early prediction of PDAC development.
Vice or Virtue? Exploring the Dichotomy of an Offensive Security Engineer and Government “Hack Back” Policies

In response to increasing cybersecurity threats, government and private agencies have increasingly hired offensive security experts: "red-hat" hackers.They differ from the better-known "white-hat" hackers in applying the methods of cybercriminals against cybercriminals and counter or preemptively attacking, rather than focusing on defending against attacks.Often considered the vigilantes of the hacker ecosystem, they work under the same rules as would be hackers, attackers, hacktivists, organized cybercriminals, and state-sponsored attackers-which can easily lead them into the unethical practices often associated with such groups.Utilizing the virtue (ethics) theory and cyber attribution, we argue that there exists a dichotomy among offensive security engineers, one that appreciates organizational security practices, but at the same time violates ethics in how to retaliate against a malicious attacker.
Autocorrect on Drugs e-Dictionary Search Module Using Levenshtein Distance Algorithm

The Dictionary of Medicine in the form of a physical book has many drawbacks, one of them is its thickness makes it impractical to be carried. This becomes a motivation to develop drug dictionary applications in the form of a Drugs e-Dictionary. One of the developed Drugs e-Dictionary uses A-Z index-based approach to discover any drug terms. This approach is less effective and less efficient timewise. Therefore, it is necessary to add a search function that has an autocorrect feature to aid the user. The purpose of this study is to build a search module that has an autocorrect feature on Drugs e-Dictionary using the Levenshtein Distance algorithm. The methodology or the stages of this research divided into the construction of a search module on Drugs e-Dictionary, implementation of the Levenshtein Distance algorithm, and autocorrect validation test. The results of the algorithm implementation show that the search module with the autocorrect feature can detect typing errors in the inputted terms by producing the closest drug term output in the database, then automatically provide suggestions for improvement and display the results of the improved drug terms to the user. it reaches 90% accuracy of inputted query, with 90% precision and 90% recall.
Teknologi Near Field Commucation pada Perpustakaan Perguruan Tinggi Berbasis Android

&#x0D; The library is a place that contains books, articles, papers and reading sources that are arranged as sources of information material. Therefore, with the rapid growth of technology, good management of library management is something that is very important for every college. One of the systems developed in this study is Near Field Communication (NFC) which is a subset of RFID (radio frequency identification). NFC is a technology that can simplify and facilitate transactions, transfer data, and wireless connections between two communication devices that are very close to a few centimeters. This system is designed using an Android device that has NFC technology. By using an NFC-based management system on an Android smartphone it is expected to improve its quality and be able to compete in the current technological era nationally or globally. The purpose of this study is to facilitate students in finding information sources by simply attaching an Android smartphone to the NFC tag attached to the book so as to obtain information about the book. This research method starts from discussing the discussion room, setting goals, discussing literature, analyzing problems, discussing models with UML, Designing systems, managing library information management and testing systems. Related to the completion of work in this study describes the design of library information management applications using Android-based Near Field Communication technology in Higher Education.&#x0D; Keywords:Library, Near Field Commnication, RFID, Android.
Sosialisasi Energi Baru Terbarukan Untuk Pelajar SMP Annida Al Islamy Duri Kosambi, Cengkareng

Energy is a basic human need, which continues to increase in line with the level of life. Oil fuel / fossil energy is one of the nonrenewable energy sources which has been a mainstay to meet energy needs in all sectors of activity. The lack of students' understanding of the process of the occurrence of electrical energy makes them not much to save electricity in everyday life. During this time, most students in using electrical energy do not think about the impact on environmental sustainability. The activity of disseminating new and renewable energy is an effort or step taken to reduce dependence on fossil energy and simultaneously preserve the environment. This activity is a socialization activity led by STT-PLN lecturers to provide education to the public about the importance of understanding the use of electrical energy wisely in an effort to protect the environment.
Real-Life Nature-Based Experiences as Keys to the Writing Workshop

For many years, research has supported the value of using real-life experiences as teaching opportunities (Noobanjong & Louhapensang, 2017;Powell, 2015).This is just as true of teaching writing as of anything else.In fact, when learners use writing (such as journaling) to share their experiences, they benefit in several ways, including their communication skills (Khanmohammad & Eilaghi, 2017).Writing workshops have been shown to be effective approaches to coaching writing at several different levels (Williams, 2014).Such workshops provide the opportunity to reflect on drafts, collaborate with peers and work through the writing process.They are, therefore, a highly effective context in which to integrate writing about real-life experiences.This, in turn, allows students to develop their writing and their content knowledge.In order to investigate the integration of real-life writing practices into the writing workshop, we focused on one important real-life setting: nature.We created a nature-based writer's workshop, Writing in Nature, for students in the upper-elementary/middle grades (ages 10-12).During the two-session workshop, we provided students with a natural setting.Then, we led them in a writing workshop.Results showed high student engagement and interest, both in the topic and in writing.Our findings suggest that using a natural setting for writing workshops is an effective real-life context for increasing engaged time, teaching content, and developing writing skills.
Adoption of Mobile Phone Messages for Delivery and Newborn Care in Bangladesh

In Bangladesh, mobile phones have been adopted as a health communication tool to improve maternal and child healthcare. To understand what works and what doesn&amp;rsquo;t work for mobile phone based messages around delivery, postpartum and newborn care in resource limited settings we interviewed 33 women who enrolled in an educational service that provides twice weekly voice or text messages to pregnant women and mothers of 0-11 month old babies and had participated in a survey. This follow up qualitative exploratory study showed that women appreciated receiving messages around newborn care and nutrition information over pregnancy messages. Women in low- income households faced challenges accessing messages on shared phones while those with low literacy and limited technological knowledge preferred to receive voice messages over text messages. Husband&amp;rsquo;s endorsement of the service improved women&amp;rsquo;s adoption of the messages. Knowledge on additional consultation service and information on how to enroll in the service for later pregnancies was found to be low. Some participants were reluctant to pay for educational messages and avoided the calls. Women&amp;rsquo;s healthcare practices suggested growing awareness on biomedical practices although women from low- income households were more likely to follow traditional unskilled birthing and newborn care practices at cultural influences unless experienced complications. Besides providing contextual messages, a holistic response is required that includes; training local birth attendants, sensitizing female family members who organize the home based deliveries, and establishing a subsidized referral system to improve birth related health outcomes in low- income households.