Reviewerly/exHarmony huggingface dataset:
Analyzing the Monetization Ecosystem of Stalkerware

Stalkerware is a form of malware that allows for the abusive monitoring of intimate partners. Primarily deployed on information-rich mobile platforms, these malicious applications allow for collecting information about a victim’s actions and behaviors, including location data, call audio, text messages, photos, and other personal details. While stalkerware has received increased attention from the security community, the ways in which stalkerware authors monetize their efforts have not been explored in depth. This paper represents the first large-scale technical analysis of monetization within the stalkerware ecosystem. We analyze the code base of 6,432 applications collected by the Coalition Against Stalkerware to determine their monetization strategies. We find that while far fewer stalkerware apps use ad libraries than normal apps, 99% of those that do use Google AdMob. We also find that payment services range from traditional in-app billing to cryptocurrency. Finally, we demonstrate that Google’s recent change to their Terms of Service (ToS) did not eliminate these applications, but instead caused a shift to other payment processors, while the apps can still be found on the Play Store; we verify through emulation that these apps often operate in blatant contravention of the ToS. Through this analysis, we find that the heterogeneity of markets and payment processors means that while point solutions can have impact on monetization, a multi-pronged solution involving multiple stakeholders is necessary to mitigate the financial incentive for developing stalkerware.
Collaborative VR Scene Broadcasting for Geometry Education

Virtual reality (VR) is promising for future education, and teachers need student management to improve class effectiveness. The authors absorb the broadcasting advantages of video teaching, put forward a VR scene broadcasting (VRSB) for geometry education. VRSB includes a database (DB) and an active server page (ASP) and a distributed database (DDB), which enables teachers and students to enjoy different permissions and statuses to satisfy teachers’ teaching management and stimulate students’ creativity through interactive collaboration and independent exploration.
Supplemental Material: The Cretaceous-Paleogene contact in the Tornillo Group of Big Bend National Park, West Texas

&lt;p&gt;Table S1: LA-ICP-MS U-Pb zircon data. Figure S1: Wetherill U-Pb concordia diagrams for detrital zircons. Figure S2: Wetherill U-Pb concordia diagrams for zircon standard reference materials. &lt;/p&gt; &lt;p&gt;&lt;br&gt;&lt;/p&gt; &lt;p&gt;&lt;br&gt;&lt;/p&gt; &lt;p&gt;&lt;br&gt;&lt;/p&gt;
Luban Workshop Development in China

The establishment of Luban Workshop marks the internationalization of China’s vocational education. In the past five years, 18 Luban Workshops have been established and completed, which has formed a huge influence at home and abroad. The rapid development of Luban Workshop is the inevitable result of the close interdependence and symbiosis between China’s vocational education and industrial economic development, and it is a practical move for vocational education to serve the Belt and Road Initiative.
Feature Extraction and Analysis of Earthquake Motion

The evaluation of earthquake motion is basic problem in the earthquake engineering. Deep understanding of the earthquake motion characteristics of the amplitude, period and duration included in observation records is essential. In this chapter, the feature quantity that can explain the engineering characteristics included in the earthquake motion, makes proposal. First, the 99-dimensional feature vector representing the temporal characteristics of a strong motion on the basis of Husid plot was proposed. The Husid plot is defined as the time history of cumulative power of earthquake motion normalized to the total power. In addition, the Gaussian mixture model was applied to the 99-dimensional feature vector was proposed. The Gaussian mixture model approximates the original data in terms of mixture of multiple Gaussian distributions. Next, the time-frequency analysis of earthquake motion, the period-dependent feature vector based on the evolutionary power spectrum, which is proportional to displacement response envelope, was defined. The period-dependent feature vector was calculated from the time history of cumulative power of evolutionary power spectrum normalized to the total power with reference to Husid plot. Furthermore, the Gaussian mixture model was applied to the period-dependent feature vector.
Implementation of Backpropagation ANN in Predicting Long Bean Crop Production in Sumatra Island Province

The production of long bean vegetable crops in Indonesia is very high, this is because this plant is easy to cultivate. Predicting the production of long bean vegetable crops on the island of Sumatra, where the data source comes from BPS (Central Bureau of Statistics). In predicting the use of ANN (Artificial Neural Networks) and the method used in this study is the backpropagation algorithm, this method will be used to predict or predict the production of long bean vegetable crops on the island of Sumatra. The results have been obtained using 4 models, namely the 6-5-1, 6-10-1, 6-15-1, and 6-20-1 models. Among the 4 existing models, the 6-5-1 model has the more accurate accuracy or the lowest error value with an MSE of 0.00711838.
Determining Functional User Comments of Mobile Applications with Semi-Supervised Learning

We can group user comments for mobile applications into two categories: First, only mentioning likes or dislikes, second having detailed feedback and valuable requests that steer the development path of the application. The developers count and weigh the latter comments; however, they are very few. In this study, we focus on discriminating these two groups of comments. In order to solve the problem that includes a vast amount of data with tremendous labeling costs, we conduct experimental studies on word embeddings, classifier selection, supervised and semi-supervised approaches. Results show that semi-supervised methods dramatically boost performance, especially for the class with too few samples. We favor FastText over BERT for the classification performance versus computational complexity dilemma in word embeddings. Our study also shows that we can successfully transfer the learning model for categorization between various mobile application markets.
A Scoring Method for Interpretability of Concepts in Convolutional Neural Networks

In this paper, we propose a scoring algorithm for measuring the interpretability of CNN models by focusing on the feature extraction operation at the convolutional layers. The proposed approach is based on the principal of concept analysis, for a predefined list of concepts. A map of the network is created based on its responsiveness against each concept. Once this map is ready, various images can be applied as inputs and they are matched with the concepts whose hidden nodes are highly activated. Finally, the evaluation algorithm kicks in to use these descriptions during the final prediction and provides human-understandable explanations.
The Effects of Autoencoders on the Robustness of Deep Learning Models

Adversarial attacks aim to deceive the target system. Recently, deep learning methods have become a target of adversarial attacks. Even small perturbations could lead to classification errors in deep learning models. In an intrusion detection system using deep learning method, adversarial attack can cause classification error and malicious traffic can be classified as benign. In this study, the effects of adversarial attacks on the accuracy of deep learning-based intrusion detection systems were examined. CICIDS2017 dataset was used to test the detection systems . At first, DDoS attacks weredetected using Autoencoder, MLP, AEMLP, DNN, AEDNN, CNN and AECNN methods. Then, the Fast Gradient Sign Method (FGSM) is used to perform adversarial attacks. Finally, the sensitivity of the methods against the adversarial attacks were examined. Our results showed that the classification performance of deep learning based detection methods decreased up to %17 after the adversarial attacks. The results obtained in this study form the basis for the validation and validation studies of learning-based intrusion detection systems.
Color Image Enhancement Using A New Anisotropic Metric

In this study, a new anisotropic metric for color images was defined and the filtering results of a noisy image were examined. Unlike the others (Riemann), the metric created in filtering was chosen as Finsler type and mathematical inferences were made until the filter creation stage. The scale parameter beta and step size dt were tried for different images, and the parameters that gave the best results for the new metric were examined for this study. This new filter was compared with some known filters and the results were examined. As a result, the new filter provided the best image enhancement.
An Unsupervised Method for Coordinated Sentence Boundary and Proper Noun Detection in Turkish

In this paper, an unsupervised approach is proposed for disambiguating sentence boundaries in natural language text imposed by the period character in coordination with proper noun status of the subsequent word. In this respect, a local hidden Markov model having latent states as to sentence boundary and noun categories is trained where maximum likelihood estimation of model parameters are obtained based solely on the orthographic rules of capitalization. Its performance was evaluated in comparison with several sentence segmentation approaches in the literature yielding almost equally good results as one of the state-of-the-art transformer-based deep learning models.
Position and Velocity Detection with RADAR and GPS Fusion

In this paper, the fusion of distance and velocity measurements using radar and GPS is discussed. A Kalman Filter (KF) was designed for the fusion of the measurement results obtained with these different systems. The designed model was used to estimate the position and velocity of a runner. Different scenarios were produced and tested, such as error-free measurements for the entire time interval, unexpected measurements from radar or GPS satellites for a certain period of time. Root Mean Square Error values were calculated and the success of position and velocity estimations were examined. It has been observed that the designed Kalman Filter predictions are more successful than radar and GPS systems.
Adult Content Detection in Search Engine Queries

It is important to detect adult content in search engine queries in order to filter adult sites depending on the safe internet choices of the user. In this study, we investigate adult content classification in search engine entries for Turkish. Firstly, we collected and labeled data, and then we carried out classification experiments with both machine learning and deep learning methods. As a result of the experiments, we observed that deep learning methods performs better than machine learning methods. We obtained the best accuracy scores with the transformer based Electra model with 0.94 F1 score.
Why Does isiXhosa Have Clicks?

Long-haul tourists visiting South Africa are always fascinated by the clicks of isiXhosa. Foreign to their ears, the eighteen click consonants can be grouped into three types: the ‘c’ is a dental click made by the tongue at the back of the mouth, the lateral ‘x’ is made by the tongue at the sides of the mouth, and the alveolar ‘q’ is made by the tip of the tongue on the roof of the mouth.
The Contrastive Analysis of the Sound in Vowel and Consonant in English and Batak Language

This Article deals with the Contrastive Analysis of the sound in Vowel and Consonant of English and Batak Language. Since there are so many linguistics elements that exists in both of the language, the researcher try to investigate the Phonetic aspect of the language. This article uses the Descriptive Qualitative research design that elaborating and describing the whole perspective of how the sound of each language elements change when it is pronounced and it is exactly convey the different meaning. The researchers use the Literature review as the techniques of collecting data. The source of the data comes from the Book of Batak Grammar created by J. Echools and H.van der tuuk which is vividly points out the theory of Batak language grammatically. This article adopts the CA or Contrastive Analysis technique in analyzing the data and it is found that there is a similarity and the differences in Batak language sound (Vowel and Consonant) with The English version. It can be seen from the word structure that is change and so does the phonetic transcription that generates the different meaning too.
An integrity control model for mass data transmission under big data cloud storage

In order to improve the control level of massive data transmission integrity, improve the space utilisation efficiency and data transmission integrity under cloud storage, an integrity control model of mass data transmission under big data cloud storage is constructed. Firstly, the basic principle of big data cloud storage is studied. The developing process of big data, data storage technology, and data retrieval technology is studied. Secondly, the mass data feature extraction model is established. The theory model and framework of feature extraction model for mass data are analysed. Thirdly, the massive data integrity control algorithm is designed based on an ant algorithm. The prior control models of single node rate are studied and system level parallel data transmission rate are analysed. Finally, simulation analysis is carried out, and the effectiveness of the proposed method is verified.
Sharpening the Spectral Response of Polynomial Graph Filter by Using Amplitude Change Function

In graph signal processing applications, it is desirable to design a polynomial graph filter with good frequency selective performance. This task can be done by designing a large-order frequency selective graph filter with very narrow transient band. However, this design often suffers from the numerical stability problem when filter coefficients are determined by least squares methods. To solve this problem, a two-stage design method is presented in this paper. In the first stage, a low-order graph filter with wide transient band is designed for avoiding numerical problem. In the second stage, the amplitude change function is used to sharpen the spectral response of low-order filter to get a filter with narrow transient band. The designed filter can be implemented by cascading several identical filters, so it is also suitable for distributed implementation. Finally, low-pass filter design examples are presented to illustrate the benefits of the proposed method.
A Closer Look on Linguistic Politeness among Bugis Youth: Tabék in Situational and Philosophical Context

With a more globalized society, the use of politeness language, especially among youths, has been considered in jeopardy. However, the understanding of whether or not the youths are still acknowledging and exercising politeness in their language use is still tiny. This matter is due to a lack of study investigating the politeness language among youths. This study aims to find the politeness formula and speech patterns for three different situational contexts: asking for help, asking for information, and rebuking in the Bugis language. This study uses a mixed quantitative-qualitative method and random sampling to gather 20 youths aged 11 to 21 as participants. The instrument used for the experiment is the Discourse Completion Test to collect the utterances. Data utterances were coded and then analyzed using a concordance and cluster-N-Gram features in the AntConc 3.5.8 application to find the sentence pattern variations with the Bugis word tabék. Interpretation of the data uses the theories of Brown &amp; Levinson (1987), Leech (2014), Watts (2003), and Darwis (1995). The analysis revealed (1) the tabék politeness formula as a polite sign at the beginning of their speech in all situational contexts and to clarify their intentions. (2) There are several sentence patterns used by the Bugis youths for each situational context; six patterns in asking for help, five patterns in asking for information, and eight patterns in rebuking. This finding shows that Bugis youths still understand the philosophy of politeness in their socio-cultural interactions, namely sipakatau (mutual humanizing), sipakaraja (mutual respect), and sipakalebbi (mutual glorification) through various politeness strategies.
Features of formation archival fund on the example of the museum collection of Nikolai Shust in the funds of the Nizhyn Spaskiy Regional Museum

The formulation of the problem and its urgency lies in the need to study the experience of prominent cultural figures who worked to create a new paradigm in the development of education and art, passing as precious treasures of the past to the younger generation. One of them is a teacher, public figure, sculptor and artist Mykola Naumovych Shust. The most effective way to systematize information about his participation in public and cultural activities is to create an archival fund formed from his personal documents and other materials related to life and work. Of course, this method of storing and systematizing information about famous cultural figures is not new, but still it has methodological, functional and thematic features of creation, because it is created not in an archival institution, but in a museum. The purpose of this publication is an attempt to determine the peculiarities of the formation and use of the archival fund, on the example of the stock collection M.N. Shusta, which is stored in the NRM. I. Spassky. The main task of intelligence is to clarify the definition of the archival fund, to establish the basic principles of its formation and introduction into scientific circulation, stock accounting and opportunities for expansion, on the example of the stock collection of the NCM. I. Spassky dedicated to Mykola Shust.
IMPLEMENTATION OF MODERN PEDAGOGICAL TECHNOLOGIES ON THE EXAMPLE OF MODELING THE MOVEMENT OF A PARACHUTIST

The paper shows an example of one of the tasks that can be used to implement modern pedagogical technologies in order to form students' digital competencies and skills to substantiate the effectiveness of project activities. As an example, within the framework of the basic concepts of classical physics, the problem of computer modeling of the movement of a parachutist is considered. The basic relations for the formalized modeling of the dependence of the parachutist's speed on time using the principles of soft computing are obtained. The values of the descent rates on the stabilizing and main parachutes obtained as a result of computer modeling are comparable with the technical parameters of the parachute.
On the why of NP-Deletion

Abstract NP-deletion is an instance of movement involving a silent or pronounced resumptive pronoun.
A Study on Prediction of Seoul Prime Office Price Using Deep Learning

1. CONTENTS (1) RESEARCH OBJECTIVES The purpose of this study is to establish an office price prediction model in a situation where Seoul prime office is preferred as an investment product for real estate funds and REITs in the domestic real estate indirect investment market.&#x0D; (2) RESEARCH METHOD The methodology of this study analyzed the VAR model, SimpleRNN model, and LSTM model using macroeconomic indicators and market condition indicators to compare office price prediction power.&#x0D; (3) RESEARCH FINDINGS As a result of the analysis, the RMSE of the VAR model was lower than that of the LSTM model and the RNN model, so it was analyzed that the predictive power was high.&#x0D; These analysis results empirically show that the VAR model, a multivariate time series eep learning model, an artificial neural network algorithm.&#x0D; 2. RESULTS As a result, this study confirmed that the Seoul prime office market operates in a linear relationship rather than a non-linear one between variables. In other words, compared to other real estate markets, the Seoul prime office market can be seen as a market in which prices are formed while exhibiting a stable relationship with interrelationships between variables rather than rapidly changing environmental factors such as macroeconomic variables in terms of price prediction through time series methodology.
Aspects of Establishment and Reorganization of Secondary Schools in Jeju Area Immediately After Liberation

This is a study on the aspects of changes in secondary education that appeared in the establishment of secondary schools in Jeju area immediately after liberation. At that time, Jeju was a representative region showing the expansion of secondary schools. During the Japanese colonial period, there were only two regular middle schools, but by 1949, the number of regular middle schools increased to ten. This indicates that the inherent demand of Jeju-do residents for secondary education surfaced immediately after liberation and the meaning of changes in secondary education can be determined through the aspects of school establishment.&#x0D; Immediately after liberation, secondary schools in Jeju showed the aspects of reorganization from non-regular private middle schools to regular middle schools. The rapid increase in the number of middle schools in Jeju area after 1945 was made possible due to the internal sympathy of local community for the expansion of secondary education. After the second half of 1946, the administrative organizations expanded and the institutionalization of middle schools was carried out with the implementation of the Jeju-do provincial system and the U. S. military government’s new school system. At that time, the reorganization of the system into regular schools enabled not only the administrative authorities to strengthen the administrative power, but also made it easy for students with academic background of secondary school to enter into higher education or get a job. Many middle schools established immediately after liberation were gradually reorganized into regular middle schools in the system, which became the foundation of secondary schools in Jeju.
Calculating Volume of Clay and/or Shale From Wireline Logs

Disclaimer Text and Data Mining. Any automated analytical technique aimed at analysing text and data in digital form in order to generate information including - but not limited to - patterns, trends and correlations (so-called Text and Data Mining) may only be applied if it is done by a research organisation or cultural heritage institution solely for the purpose of (non-commercial) scientific research as mentioned in Clause 3 of Directive (EU) 2019/790 (the Digital Single Market Directive) and Clause 15n of the Dutch Copyright Act [Auteurswet]. Text and Data Mining for commercial purposes is not allowed; all rights in this respect are reserved pursuant to Clause 4 paragraph 3 of the Digital Single Market Directive and Clause 15o paragraph 1 of the Dutch Copyright Act.