Reviewerly/exHarmony huggingface dataset:
Magnetotelluric evidences of metal rich fluid pathways in the Tapajós Mineral Province

The Tapajós Mineral Province (TMP) is a relevant gold producer in Brazil, for producing at least 750 t in the last decades.Its evolution is related to ocean-continent orogenies from 2.1 to 1.87 Ga.The tectonic setting is still controversial since there are no high pressure and low-temperature terrains; neither classic fold and thrust belts are mapped.We propose to address the electrical structure of the TMP through magnetotelluric (MT) data.A 160 km profile MT field survey was conducted in the known Gold dirty road (Transgarimpeira).Resistivity images of the crust have been used to map crustal-scale discontinuities related to fossil fluid flows.We present the first electrical model for the lithosphere of TMP.We identified a major thrust fault juxtaposing two distinct crustal levels.Moreover, we mapped fluid pathways on the MT resistivity model with noticeable correlation with gold mineral deposits.A deep conductor around 12 km in the crust may be the evidence of past bulky melt volume.The MT data have provided relevant constraints to misunderstood structures presented on surface and magnetic data.It has also proved to be valued on detecting fluid pathways relevant for unraveling new mineral deposits.
The Right Face Mask Detection System using Deep Learning Methods

Coronavirus Disease 2019 (COVID-19) is an emerging respiratory disease caused by acute respiratory syndrome (SARS-CoV-2).As of June 23, 2021, as a result of the virus infected patients reached 178,837,204 and 3,880,450 died.Therefore, WHO (World Health Organization) imposes health protocols that must be implemented by all individuals throughout the country, based on that the government of the Republic of Indonesia through the Decree of the Minister of Health of the Republic of Indonesia Number HK.01.07 / MENKES / 382/2020 concerning health protocols for people in places and public facilities in order to prevent and control corona virus disease 2019 (COVID-19) which is mandatory to wear a mask when out of the house, Maintain a strict social distance in public places of at least 1 meter and often wash hands or sanitize hands with disinfectant.In this research, the researchers create a system to conduct supervision on the community to be able to comply with health protocols, especially the use of appropriate masks.This system is called the right Face Mask Detection System using deep learning methods with MobileNetV2 module and Tensorflow framework.Based on 90 tests conducted obtained the results of 7 invalid tests, so that the accuracy of the system that has been built has an average of 86.95%.
Compression of Color Image Using Quantization Method

The development of large-capacity storage media causes people to no longer have problems if they have large files. More so if the file we have is an image file. Nevertheless, sometimes the large file size feels annoying if we have to manage the storage media that we have for various data, thepurpose of this study is to compress color imagery. By using quantization method can be taken, By using data compression then the data capacity will be minimized, Utilization of quantization method will facilitate data compression (image), Image compression with kunatization method in RGB Image can reduce thesize of the compressed file, so as to save storage space(Storage).
ELT Students’ Communication Strategy on Speaking Performance Defined by Gender in Universitas Negeri Padang

The communication strategies implemented by ELT students may vary depending on their oral ability.This research aims to analyze the strategies most commonly used by English language learning male and female students and the communication strategies that affect their oral performance.English Department of Universitas Negeri Padang is the object of this research who is the representative of ELT students.This research is a descriptive research, using qualitative methods to directly observe human natural things and phenomena from the scene.The data were derived from video recordings of conversations and oral reports to investigate the students' communication strategies and problems in communication.The design is still in the preliminary stage and still continuing.The data will come from the observation of students' utterances on their speaking performance.As a result of the study, the ability of male and female students in speaking performance is identified and categorized into sixteen types of communication strategy by Kongsom (2009).
Improving User’s Experience in Exploring Knowledge Structures: A Gamifying Approach

Gamifying user experience while navigating knowledge structures is the new paradigm in online learning and improving human–computer interaction. Learning by playing and learning by doing lie at the core of this approach. Rooted in the paradigm of Conceptual Knowledge Processing and conceptual landscapes of knowledge, this research proposes an immersive experience in 3D knowledge structures, the VR FCA project. We exemplify this experience, at least the amount possible in a journal paper, by using data sets about topological spaces, a mathematical field which is notoriously hard to grasp by beginners or sometimes even at an intermediate level. We present the stages of this project, the technologies we have used in the implementation and also some basics of Formal Concept Analysis (FCA), the mathematical theory which lies at heart of Conceptual Knowledge Processing.
Decentralizing Finance

The rationale behind this research is to demonstrate the tokenization effects of blockchain on all types of assets and how blockchain technology might improve the way we view digital exchange and use digital money. The finance industry is progressing towards innovative solutions, capable of dealing with traditional problems and increasing efficiency, sustainability and accountability. This progression may also address market failures within the economy. In our conceptual chapter, we provide a short discussion of the decentralization of finance and where we are today. We begin with the fundamentals of money and the evolution of cryptocurrency issuance from ICOs to STOs and then to stablecoins like CBDCs. We then examine the concept of tokenizing various types of assets and deliberate on a conceptualization of a tokenized capital markets trading platform. To clarify tokenization and its benefits, we provide an example of the tokenization concept for agriculture and livestock in raising capital for small farms. Finally, we conclude with discussions on concerns for privacy and security, which emphasizes self-governance, self-regulation and cybersecurity measures.
Social Perception of the Engineering and Arduino as seen in Text Mining and Semantic Network Analysis

The purpose of this study is to analyze the social perception of engineering and Arduino using big data analysis method. For the purpose, data from January 2011 to May 2021 were collected using the Textom website as a keyword searched for ‘engineering+Arduino’ in blogs, cafes, and news channels of NAVER and DAUM website. The collected data was refined using the Textom website, and text mining analysis and semantic network analysis were performed by the Textom website, Ucinet 6, and Netdraw programs. As a result of text mining analysis, it was confirmed that ‘using’, ‘education’, ‘coding’, ‘project’, and ‘robot’ were the major keywords. As a result of semantic network analysis, four clusters could be identified: ‘using Arduino’, ‘future convergence education’, ‘STEAM’, and ‘volition’. Through this study, it was possible to identify various meaningful social perceptions of the general public in relation to engineering and Arduino on the internet. The results of this study will be used as useful data not only for instructors and researchers who research the fields related to the combination of the two keywords
The Battle for Cloud Supremacy and the Remaking of Enterprise Security

The 21st century has ushered in a new wave of disruptive information technology and networking technologies that have generated new business opportunities for enterprises. Simultaneously, the rapid adoption of these technologies has exposed enterprises to human errors and an exponential cyber threat, which in turn has led to increasing complexity and cost in thwarting cyberattacks. In an effort to address these challenges, we see enterprises rapidly adopting and transitioning to cloud technologies, instead of performing everything in-house. Conversely, Cloud Service Providers (CSPs) have continued to gain enormous insights through their data collection activities, which has also led to an array of associated cloud technologies and solutions that can reduce or potentially eliminate the cyber threats posed to enterprises. In this chapter, we present our research into how these developments are changing the shared responsibility model between CSPs and their enterprise customers. Our results suggest that CSPs rapidly need to develop a new shared responsibility model, whereby they take more control and responsibility for their customers’ technology environment, including their security. We also found that a shift to a more Technology-as-a-Service (TaaS)-centric model could create significant financial opportunities, whilst simultaneously improving the cybersecurity capabilities of the CSPs’ customers.
Aquatech's AI partnership addresses desalination's energy consumption

Aquatech International is partnering with Pani Energy, a Canadian artificial intelligence (AI) analytics solution provider for water applications, to reduce the energy and cost associated with desalination.
Simultaneous Sparse Deconvolution

We present a new method to perform simultaneous sparse spike deconvolution in a group of volumes associated with different reflection angles.The proposed algorithm enforces co-localization of the spikes on the estimated reflectivity traces and allows user control of the sparsity via hyperparameters.The method is validated in both synthetic and real datasets with positive results.The resulting angle-dependent reflectivity volumes are suited to be used as input to perform high resolution elastic inversion.
Analisis Agenda Setting Pemberitaan MotoGP Mandalika Pada RRI Mataram

This research has an important urgency because the public will tend to pay attention to the things that are the priority of mass media coverage. The media setting agenda can relate the possible effects of influencing public opinion or opinion so that it does not only pay attention to priority news but also learns how important the way the mass media prioritizes news topics is. Formulate the problem in this study is "How is the agenda setting of the Mandalika MotoGP News RRI Mataram?" The research approach used by the researcher is qualitative. Determination of the main issues and other supporting news through a long process that is discussed in the agenda setting meeting. The negative and positive sides of the MotoGP event will be published in news bulletins so that reporters will be assigned to the field to find sources. The selection of sources is adjusted to the topic of the news/coverage. Resource persons are selected based on the competence of the position, the suitability of the substance of the problem and the ability to act as a decision maker. After the news topics are determined, the next job is to do the coverage. Coverage is done to dig up data and facts, to be processed into news. This is where the reporter plays a very important role. The reporter's tenacity and tenacity are tested, because coverage is not always easy because sources are often hard to find. Therefore the reporter must make a coverage plan. The coverage plan must include the following: What or who will be the object/subject of the coverage, Where will the coverage be carried out, What information will be obtained (Questions should be prepared in the form of open-ended questions) What is the angle of the news?, Who Will the right sources be found to strengthen the news?.The researcher concludes that Agenda Setting is a forum for discussing the main topic or issue based on considerations such as the issue being discussed by the community How significant the issue is for the community or listeners The issue can also be considered from whether other media carry it Agenda Setting has a very important and strategic role in concocting and framing news, especially about the MotoGP world motorcycle racing event at the Mandalika Circuit, Central Lombok. Even from the agenda setting, synergistic communication was created by reporters, editors and deputy editors who were very harmonious even though there were debates in determining the main issues to be presented in the RRI Mataram news bulletin. RRI Mataram as a Public Broadcasting Institution in MotoGP reporting is independent and neutral so that the information does not favor certain parties but is more in the public interest.
Sentinel Lymph Node (SLN) Metastases in Breast Carcinoma Whole Slide Image (WSI) through Densenet Deep Learning Network: An Approach towards Clinical Management and Treatment

This paper envisions a new and faster sentinel lymph metastases classification model which will help the pathology experts to perform fast and accurate diagnosis. This paper discussed a CNN based image classification model, to classify breast lymph node metastasis from WSI images, called DenseNet-161. Breast cancer intends to spread throughout the body. Cancer cells spread locally by infecting nearby healthy tissue. And it can spread throughout a region by infecting adjacent lymph nodes, tissues, or organs. CNN model initially learns the features from the training data. Subsequently after fitting the training data well it tries to generalize and make accurate predictions for the incoming new data which it has not seen earlier. Overfitting refers to a model that models the training data too well. The noise persists even after using the thresholding pre-processing strategy, necessitating extra pre-processing before training the model. Furthermore, increasing the dataset size by data-augmentation will significantly increase the accuracy.
An Information Security Risk Assessment Framework for Cyber-Physical System

The term "Cyber-physical system" refers to a system that combines physical and cyber capabilities.It is a new field in the twenty-first century.CPS is in grave danger of being hacked.A well-designed CPS risk assessment will provide a comprehensive picture of the facility's security state and aid in the efficient deployment of safeguard resources.Despite the fact that standard IT system risk assessment is wellestablished, due to the significant differences between IT systems and CPS, a separate risk assessment method for CPS is required to address the developing security challenges.This paper highlights the security objective and challenges of CPS.In this research paper we have developed an Information Security Risk Assessment Framework for Cyber-Physical System.
Sistem Penyiraman Otomatis Tanaman Semusim Berbasis Jaringan Saraf Tiruan Multilayer Perceptron

In general, farmers water plants when the conditions are met, such as dry soil, no rain, and cold temperatures. One of the efficient ways to control it is to use an artificial neural network-based automatic plant watering system. The purpose of this study was to determine the success of artificial neural networks as decision-makers to water plants automatically. The stages of designing an automatic watering system based on an artificial neural network were to build software including artificial neural network modeling and Arduino microcontroller programming, automatically watering tools, evaluating tool performance, and testing tools in real-time. The test results show that the artificial neural network-based automatic plant watering system can water plants according to the given input pattern. The artificial neural network structure obtained is three neurons in the input layer, eight neurons in the hidden layer, and one neuron in the output layer. The artificial neural network-based automatic plant watering system succeeded in automatically watering two areas of land that the success rate is a 100%.Keyword— Automatic Watering, Microcontroller, ANN, Annual Crops.
Viewpoint Selection for Fibrous Structures in a Pre-operative Context: Application to Cranial Nerves Surrounding Skull Base Tumors

In this work, we present a viewpoint selection method specifically designed for fibrous structures in a pre-operative context. A view quality metric based on entropy was developed, which integrates the typical requirements of surgery planning. We applied our approach in the case of cranial nerves surrounding skull base tumors. The relevance of the viewpoints selected by our method was assessed qualitatively by a neurosurgeon and quantitatively based on statistical tests. These viewpoints were proven to have a high informative content, and therefore to enable a good understanding and mental representation the 3D anatomical scene in a pre-operative context.
The Main Features of the Expressiveness of the Arts in the Modern Era

In the present article, the author raises the question of social incentives of the Modern Era that encouraged artists to search for new ways of expression and initiated transformations of artistic methods. The subject of research is the artistic expressiveness of the visual arts and philosophical concepts of the Modern Era. In the culture of the Modern Era, the medieval sacred predetermination that regulated human existence is replaced by anew self-consciousness of a person as a subject of history. Being susceptible to changes in consciousness, art reflects this process, which is emphasized in this study. The relevance of this research is due to the possibility of considering the correlation between the changes in art and a person’s view of life. The author formulates representation and illusory criteria for the expressive methods of the visual arts of the Modern Era and investigates the search for new expressive means by painters, sculptors, and architects. The driving force behind the search for new means of displaying both conscious and unconscious changes in mentality is identified through the analysis of the major changes in the European socio-cultural consciousness in the Modern Era. The question of dialectics of the visual and the expressive is studied in order to consider their impact on the self-movement of art. The author focuses on classical and Baroque trends in art. In studying the expressive techniques of art and the philosophical trends of the Modern Era, the application of the interdisciplinary approach is advisable.
Inspiration and Creativity

Inspiration and creativity are necessary, but sometimes elusive first steps for composers. In an ideal world, inspiration would strike, and ideas would begin flowing like a river. Unfortunately, it’s usually not nearly that simple. Inspiration is normally something that needs to be actively sought out. A new environment or experience, improvisation, or exploring existing music can all be sources of inspiration and creativity. Often a driving force may be a commission or assignment, and much of the parameters are predetermined. Nonetheless, it’s important to have techniques for using creativity to escape compositional ruts. New ideas can be infinite, and sometimes it just takes some digging to uncover them.
Pelatihan Pembangunan Website E-Commerce dalam Mengelola Hasil Karya Siswa/Siswi di SMKN 5 Batam

SMKN 5 Batam is a State Vocational High School in the city of Batam, although basically it is a public school that does not require publication of the school because it already has its own students, but it never hurts to keep updating student activities which can later be used as a medium for information on prospective parents of students who will prepare schools for prospective students. With advances in information technology that has been very advanced, one of them is by using the website, the needs related to activities carried out by students at SMKN 5 Batam.
Image Dehazing from Repeated Averaging Filters with Artificial Neural Network

Abstract: The physical process of converting an image signal into a physical image is known as image processing. Either a digital or analogue image signal can be used. An actual physical image or the attributes of an image can be the actual output. The logical process of detecting, identifying, classifying, measuring, and evaluating the relevance of physical and cultural items, their patterns, and spatial relationships is referred to as image processing. This paper presents a method for measuring ambient light from a single foggy image using Repeated Averaging Filters, which adds to greater radiance recovery. The problem of halo artefacts in the final output image after dehazing plagues existing dehazing algorithms. An averaged channel is created from a single image using recurrent averaging filters using integral images with artificial neural network, which is a faster and more efficient method of reducing halo artefacts. In terms of quantitative and computational analysis, the suggested dehazing method achieves competitive results and outperforms many earlier state-of-the-art solutions. Index Terms: Image Dehazing; Averaging Filter; Integral Image; Gaussian smoothing, Feed Forward Neural Network
Utilization of Whittaker-Henderson Smoothing Method for Improving Neural Network Forecasting Accuracy

Health institutions need to ensure the availability of drug stocks for patients. There are challenges related to the uncertainty of the amount of drug use for the next period. Uncertainty can be reduced by analysing historical drug data to predict future demand. Time series can contain spikes or fluctuation pattern which spikes can disguise the main information. Hence, it can affect the accuracy of the prediction model. One widely used forecasting method in the time series data is the artificial neural network (ANN) method. The ANN method requires the pre-processing stage of the data before the training process. The pre-processing stage is essential to obtain information or knowledge. This study focused on applying smoothing methods at the pre-processing stage of the ANN method. The application of the smoothing method was expected to improve the quality of ANN learning data that would lead to better predictive accuracy. This research focuses on implementing the smoothing method in data pre-processing step for ANN method. Smoothing methods used in this research were exponential smoothing (ES) and Whittaker-Henderson (WH) smoothing applied to two time series datasets. The refining method used in this study was the WH method, which was tested on two time series datasets of medicine. The results show that the mean square error (MSE) obtained by applying the WH method was lower than the non-smoothing ANN for both datasets. Evaluation results revealed that implementing WH smoothing method in data pre-processing step for ANN (WH+ANN) provided MSE significantly lower than ANN results with a confidence level of 94% for dataset 1 and 85% for the dataset 2.
Retraction: A Novel Approach for Pattern String Matching in Intrusion Detection System (J. Phys.: Conf. Ser. 1916 012007)

This article (and all articles in the proceedings volume relating to the same conference) has been retracted by IOP Publishing following an extensive investigation in line with the COPE guidelines. This investigation has uncovered evidence of systematic manipulation of the publication process and considerable citation manipulation. IOP Publishing respectfully requests that readers consider all work within this volume potentially unreliable, as the volume has not been through a credible peer review process. IOP Publishing regrets that our usual quality checks did not identify these issues before publication, and have since put additional measures in place to try to prevent these issues from reoccurring. IOP Publishing wishes to credit anonymous whistleblowers and the Problematic Paper Screener [1] for bringing some of the above issues to our attention, prompting us to investigate further. [1] Cabanac G, Labbé C and Magazinov A 2021 arXiv: 2107.06751v1 Retraction published: 23 February 2022