Reviewerly/exHarmony huggingface dataset:
Airborne gamma-ray spectrometry inversion: Case study at Mara Rosa Magmatic Arc, Brazil

PreviousNext No AccessFirst International Meeting for Applied Geoscience & Energy Expanded AbstractsAirborne gamma-ray spectrometry inversion: Case study at Mara Rosa Magmatic Arc, BrazilAuthors: Jessica D. WeihermannSaulo P. OliveiraYaoguo LiFrancisco J. F. FerreiraAdalene M. SilvaJessica D. WeihermannFederal University of ParanáSearch for more papers by this author, Saulo P. OliveiraFederal University of ParanáSearch for more papers by this author, Yaoguo LiColorado School of MinesSearch for more papers by this author, Francisco J. F. FerreiraFederal University of ParanáSearch for more papers by this author, and Adalene M. SilvaUniversity of BrasíliaSearch for more papers by this authorhttps://doi.org/10.1190/segam2021-3582157.1 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail AbstractRocks and minerals are natural sources of radiation. For this reason, airborne gamma-ray spectrometry (AGRS) has been used for many applications such as geological mapping, environmental studies, mineral exploration, and mapping of lithologic units. As an alternative to the AGRS standard processing, we have developed a 2D inversion-based processing method that incorporates the aircraft height and replaces the sensitivity correction. In addition, the inclusion of positivity condition using a logarithmic barrier prevents unphysical negative values that may arise from steps in the standard processing. We present a comparative study between the standard AGRS processing and the inversion-based processing of AGRS data in the gold deposit-rich area of Mara Rosa Magmatic Arc, Brazil, and demonstrate the benefits of the new approach.Keywords: radiometrics, inversion, geology, miningPermalink: https://doi.org/10.1190/segam2021-3582157.1FiguresReferencesRelatedDetails First International Meeting for Applied Geoscience & Energy Expanded AbstractsISSN (print):1052-3812 ISSN (online):1949-4645Copyright: 2021 Pages: 3561 publication data© 2021 Published in electronic format with permission by the Society of Exploration GeophysicistsPublisher:Society of Exploration Geophysicists HistoryPublished: 01 Sep 2021 CITATION INFORMATION Jessica D. Weihermann, Saulo P. Oliveira, Yaoguo Li, Francisco J. F. Ferreira, and Adalene M. Silva, (2021), "Airborne gamma-ray spectrometry inversion: Case study at Mara Rosa Magmatic Arc, Brazil," SEG Technical Program Expanded Abstracts : 1310-1314. https://doi.org/10.1190/segam2021-3582157.1 Plain-Language Summary KeywordsradiometricsinversiongeologyminingPDF DownloadLoading ...
Book Review: Daniel J Gervais (ed) The Future of Intellectual Property (2021)

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Working from Home in the New Norm: Prospects and Challenges from Hospitality Management Students’ Perspective

The Impact of Covid -19 caused a deep contraction in the global economy with tourism being the most affected. The closure of borders through lockdowns had devastating effects on the sustainability of tourism businesses. Hence loss of employment negatively impacted on people’s livelihood, socio–economic and psychological conditions. The aim of the paper is to investigate the lived experiences of students on the challenges faced as a result of working from home.  A qualitative approach was used where ten students were interviewed using a semi structured interview-guide. A thematic analysis was used to analyse results. The results show that learning from home presented a number of opportunities for students. Some of the emerging issues include the ability for students to learn at their own pace, comprehension of the subject matter through rehearsals, the use of technology in research, and innovative strategies for content retention.  However, Covid -19 presented a number of challenges for students such as anxiety, anger, conflict and overcrowding. Other challenges included shortage of food due to limited resources, poor access to technology, insufficient financial resources to buy data and boredom. The study concludes that new mechanisms need to be developed to ease working from home.
Multi -View Scaling Manual Vector Machines for Kind and Characteristic Selection

With the explosive boom of records, the multi-view records is huge implemented in numerous fields, like facts processing, Machine Learning, pc imaginative and prescient and then on, due to such information constantly consists of a advanced form, i.e. Numerous schooling, numerous perspectives of description and immoderate dimension, a manner to formulate accurate and reliable framework for the multi-view class can be a in reality tough challenge. In this paper, we will be predisposed to endorse a very particular multi-view class technique through victimization a couple of multi- magnificence Support Vector Machines (S V M's) with a completely unique cooperative technique. Here every multi-class S V M embeds the scaling problem to time and again adjust the burden allocation of all alternatives, that is useful to recognition on extra vital and discriminative alternatives.  Moreover, we  normally  tend to undertake the choice carry out values to combine a couple of multi-beauty beginners and introduce the vanity rating across multiple lessons to training session the final type cease result.
A large-scale, naturalistic dataset of two-person social actions

During everyday tasks like navigating a crowded store or deciding where to sit on a bus, we perceive rich details about the social interactions of others. The ability to perceive others’ social interactions is a core component of human cognition, but its neural computations are only beginning to be understood. While recent work has made progress in understanding the neural mechanisms of social interaction perception with tightly controlled stimuli, continued progress requires a dataset of social and nonsocial actions that is representative of everyday life and captures variance along a range of social dimensions, e.g. valence, cooperativity, and interpersonal relationships. However, using naturalistic stimuli to investigate social interaction perception presents significant challenges. First, the number of people in a given video is highly predictive of the presence of a social interaction–a video of one person likely shows a nonsocial action, while a video of three or more people likely shows a social interaction. Further, existing datasets of social actions are not representative of everyday actions. They dramatically oversample sporting activities, for instance. We addressed this challenge by curating a dataset of two-person social and nonsocial actions from the Moments in Time dataset. Our videos were selected from common action categories based on the American Time Use Survey. We also balanced our dataset on visual features such as whether the action occurred indoors or outdoors. Finally, we selected our final set of videos so that sociality was not predictable by early layers of a deep convolutional neural network. This dataset will be an important tool in benchmarking human social perception against computer vision models and can pave the way for the same progress that has been achieved in object and scene perception.
SUPERVISION OF THE RENOVATION OF MUSHOLLA NURUL ISLAM IN KP. SITUPETE SUKADAMAI VILLAGE OF TANAH SAREAL DISTRICT OF BOGOR CITY

As a manifestation of the elaboration of the Tri Dharma of University, Community Service Activities have been carried out in the Nurul Islam Mosque Development Implementation program, which is located in Kp. Situpete RT. 01/06 Kel. Sukadamai Kec Tanah Sareal Bogor City. The main objective of this activity is to assist residents in the construction of the Mushola in the form of technical consultation assistance during construction. As time goes by, many changes have occurred to the condition of the mosque, which is becoming more and more obsolete. Currently, there is physical damage to the mosque building due to age, and it needs to be renovated because in some parts, such as the roof damaged or decayed wood, the ceiling condition has been damaged a lot due to leaks by rainwater during congregational prayers and the arrival of the holy month of Ramadan for congregational tarawih prayers is worried that when it rains it can cause leaks. This condition causes the implementation of worship to be less solemn and uncomfortable. Conditions like this have led to the desire to renovate the facilities and infrastructure of the mosque so that it can carry out its function as a place of worship and a place for fostering the morals of the people. A representative mosque, directly or indirectly, will find it easier to carry out its functions. This condition has inspired the Nurul Islam Mosque congregation to provide a place of worship that is more comfortable and capable of guiding the people. In the Qur'an Karim, the letter At Taubah verse 18, ALLAH SWT says: "that only those who believe in Allah and the Last Day will prosper Allah's mosques." The Prophet said, "Whoever builds a mosque, Allah will build a house in heaven" (HR. Bukhari and Muslim). This rationale drives us as the committee for the renovation of the Nurul Islam Mosque to invite all parties to realize this desire jointly
VR-LABORATORY AS A KEY COMPONENT OF CLASSROOM ENVIRONMENT FOR AGRICULTURAL UNIVERSITY STUDENTS

The paper considers some specifi c features of using the VR-laboratory as a structural division and a component of the classroom environment for training agricultural university students in the Russian Federation. The authors defi ne the concept of a VR-laboratory as one of the key components of the classroom environment required for the implementation of agricultural university curricula, and also comment on the duality of the guided development of competences (general and professional ones) through the use of VR-laboratory equipment both as an object of study and as a means of training. Recommendations are given on the use of a VR-laboratory in the organizational and management structure of higher educational institutions, as well as on its teaching staff and content aspects, taking into account the teaching staff age characteristics. Using the BPMN2.0 notation, the authors developed and proposed for use an informational model of independent training of students in VR laboratories of domestic agricultural universities. It is noted that the use of virtual reality tools in agricultural university curricula demonstrates a number of advantages, including safe controlled conditions for practical training, the ability to visually broadcast the advanced industrial experience of the regions of Russia and abroad, overcoming the problem of limited natural anatomical, geological-mineralogical, technical and other samples, as well as independence from weather conditions and geographic distance. The use of a VR laboratory in an agricultural university in accordance with the developed information model and timely replenishment of the training content infrastructure will ensure steady digitalization of the training process and increase the competitiveness of graduates in the labor market.
Perancangan Media Pembelajaran BimbinganTIK Berbasis Android Siswa SMK Jurusan Bisnis Konstruksi dan Propeti

This study aims to create an Android-based learning media that meets valid, practical and effective requirements for ICT guidance subjects. This research is a Research and Development research conducted at SMK. The test subjects in this study were students of class X BKP at SMK Negeri 1 Padang. The result of the assessment of the three validators as a whole is 91.17% so that the level of validity can be interpreted is very valid to use. The overall practicality assessment is 90.65%, so that the practicality level can be interpreted to be very practical to use, as well as the effectiveness rating of 93.21%, so that the level of effectiveness can beinterpreted very well to use
Comparing Blockchain Platforms for Smart Contracts: A Preliminary Framework

Since 2008, when it was first cited, blockchain technology represents an innovation from both a structural and application point of view. Since then, thanks to its peculiarities and capabilities of implementing smart contracts, blockchain technology has undergone a strong development in different application domains. The interest around this technology also brought to the definition of several platforms facilitating its use and application. Due to their variety, , choosing the most suitable blockchain platform to support a specific business need represents a strategic problem. This paper proposes an analysis for the definition of an evaluation framework and related quality attributes, helping to characterize and compare different blockchain platforms for identifying the most suitable one to the implementation of smart contracts in a specific business context. The analysis of a set of blockchain platforms is proposed for discussing the applicability and use of the proposed framework
Sign-aware Perturbations Regression

This paper presents the first study on Sign-aware Perturbations Regression (SaPR), where the observed response variables contain the aware sign (negative or positive) perturbations.In order to predict the non-perturbation response variables, we propose a novel parameter estimator SZOM (i.e.,Setting Zero Operator Method), which aims at taking full advantage of the aware perturbations information to correct the mistake values in the estimation process with computationally efficiency.In this paper, the two aspects of theoretical analysis are proposed to deeply understand our method.Firstly, we establish the perturbation parameter error upper bound and prove consistency guarantee in the linear regression scenario.Secondly, we introduce the generalization error bound for the proposed SZMO, which indicates that the error bound is related to the value and the number of negative and positive perturbations.The effectiveness of the proposed approach is well validated by the experimental results on both synthetic and real datasets.
ROLE OF PEDAGOGICAL PRACTICE IN THE FORMATION OF PROFESSIONAL COMPETENCES OF SPECIALISTS OF PEDAGOGICAL PROFILE

The article is a result of a theoretical and practical investigation of pedagogic practicum’s role in the formation of the fundamentals of students’ professional competences in the higher professional education the system. The article also considers the typologization of the basics and the conditions of the success in their formation. Pedagogic practicum is being carried out on the base of the higher educational institution or in other educational institutions. Normative documents in organizing and carrying out teaching practicum are worked out in the higher educational institution. The basics of teaching practicum are formed during the first practicum on the specialty. The advantage of the practicum is that it gives the students the opportunity to gain the first experience in profession; its acquisition is a main indicator in formation professional competences.
A Scalable Handwritten Text Recognition

Handwritten Text Recognition (HTR) systems have focused on building state-of-the-art models for line recognition on small corpora. However, adding HTR capability to a large scale multilingual OCR system poses new challenges. This paper addresses three problems in building such systems: data, efficiency, and integration. Firstly, one of the biggest challenges is obtaining sufficient amounts of high quality training data. We address the problem by using online handwriting data collected for a large scale production online handwriting recognition system. We describe our image data generation pipeline and study how online data can be used to build HTR models. We show that the data improve the models significantly under the condition where only a small number of real images is available, which is usually the case for HTR models. It enables us to support a new script at substantially lower cost. Secondly, we propose a line recognition model based on neural networks without recurrent connections. The model achieves a comparable accuracy with LSTM-based models while allowing for better parallelism in training and inference. Finally, we present a simple way to integrate HTR models into an OCR system. These constitute a solution to bring HTR capability into a large scale OCR system.
MENINGKATKAN HASIL BELAJAR IPS DENGAN METODE INKUIRI PADA SISWA KELAS IX-1 SMP NEGERI 177 JAKARTA SEMESTER 1 TAHUN AJARAN 2016/2017

The purpose of the study was to find out the effectiveness of the inquiry method in improving social studies learning outcomes for developing and developed countries for class XI-1 students of SMP Negeri 177 Jakarta Semester 1 of the 2016/2017 academic year. The research method is classroom action research. Data collection techniques with observation and multiple choice tests. The sample is 35 students in class XI-1 SMP Negeri 177 Jakarta. Data analysis techniques with percentages. The result of the research is that learning with inquiry-based teaching for social studies material in developing and developed countries has a positive impact on improving student achievement which is marked by an increase in student learning mastery in each cycle, namely cycle I (62.50%), cycle II (85.00 %), cycle III (100%).
Различные аспекты использования менеджеров библиографии в системе избирательного распространения информации

A reference managers software is an essential part of the system of selective dissemination of information (the SDI system) which has been being developed by us. At the beginning of working-out, such software provided the whole functionality of the SDI system. Currently, we use reference managers software to work with import bibliographic records from external sources.We are assaying as well the reference managers qua elements of professional social network which maintains the interaction librarian and users of the SDI system. This task turns out unconventional due to certain inertia of Russian scientific community in the domain of inclusion to professional social networks reported by some authors.
Automatic Construction of Evaluation Suites for Natural Language Generation Datasets

Machine learning approaches applied to NLP are often evaluated by summarizing their performance in a single number, for example accuracy. Since most test sets are constructed as an i.i.d. sample from the overall data, this approach overly simplifies the complexity of language and encourages overfitting to the head of the data distribution. As such, rare language phenomena or text about underrepresented groups are not equally included in the evaluation. To encourage more in-depth model analyses, researchers have proposed the use of multiple test sets, also called challenge sets, that assess specific capabilities of a model. In this paper, we develop a framework based on this idea which is able to generate controlled perturbations and identify subsets in text-to-scalar, text-to-text, or data-to-text settings. By applying this framework to the GEM generation benchmark, we propose an evaluation suite made of 80 challenge sets, demonstrate the kinds of analyses that it enables and shed light onto the limits of current generation models.
A REFERENCE MODEL FOR MOBILE PLAYFUL LEARNING ENVIRONMENTS

We propose a novel model for learning environments to target the characteristics of digital natives and to improve informal learning practices, i.e. the exploration, discovery and self-monitoring of learning content and the reflection on learning activities.The Mobile Playful Learning Environment (MPLE) model is defined as consisting of seven main features (mobile user context, data collection and analysis, learner visualization, self-monitoring, persuasion, playfulness, and micro-learning) intended to encourage continuous usage and self-reflection.As a case study we developed TICKLE, an application that implements the MPLE model to re-activate and re-motivate youngsters at risk for school dropout, for learning by stimulating curiosity and engagement through the recognition of non-formal learning opportunities.
REVE 2021

Software Product Line (SPL) migration remains a challenging endeavour. From organizational issues to purely technical challenges, there is a wide range of barriers that complicates SPL adoption. This workshop aims to foster research about making the most of the two main inputs for SPL migration: 1) domain knowledge and 2) legacy assets. Domain knowledge, usually implicit and spread across an organization, is key to define the SPL scope and to validate the variability model and its semantics. At the technical level, domain expertise is also needed to create or extract the reusable software components. Legacy assets can be, for instance, similar product variants (e.g., requirements, models, source code, etc.) that were implemented using ad-hoc reuse techniques such as clone-and-own. More generally, the workshop REverse Variability Engineering attracts researchers and practitioners contributing to processes, techniques, tools, or empirical studies related to the automatic, semi-automatic or manual extraction or refinement of SPL assets.
การพัฒนาและประสิทธิผลของแนวปฏิบัติทางคลินิก การประเมินสภาพแรกรับผู้ป่วยบาดเจ็บหลายระบบ TTS (Tertiary trauma survey) ในหอผู้ป่วยศัลยกรรมอุบัติเหตุและระบบประสาท โรงพยาบาลแพร่

Background: Initial assessment among tertiary trauma survey (TTS) in patients with multiple traumas, if there is a mistake in the assessment from the initial stage, the receiver will cause subsequent damage. Causing the patient to receive delayed treatment, and receive additional procedures and affect the day of the hospital to stay longer.Objective: In order to develop and study the effectiveness of Clinical Practice Guidelines for initial assessment among multiple trauma patients.Study design: This research was a Mixed Methods design. Study in Trauma and neurosurgical ward, Phrae hospital. By studying the problem obstacles to using the original patient assessment form with Focus Group Discussion methods between 1 January to 30 June 2019. Used to develop and study the Effectiveness of Clinical Practice Guidelines (CPGs). The control group began to study between 1 January to 30 June 2019, of 76 subjects. The experimental group began to study between 15 July to 15 December 2019, of 78 subjects. The instruments used in this study were the CPGs, assessment of trauma patients, and the TTS assessment form. Data collection were 1. The patient data recording form and coverage in the assessment of multiple trauma patients and 2. The questionnaires of registered nurses who use Clinical Practice Guidelines. Data were analyzed by using descriptive statistics,       t-test, and exact probability test.Conclusions: Trauma patients assessed Initial assessment among tertiary trauma survey (TTS) in patients with multiple traumas. Will receive a quick, timely, and comprehensive assessment of the nursing process in determining nursing diagnoses.Results:            The results of the study showed that the injury error rates from both groups were not statistically different (p=1.000). The CPGs discovered more injury errors in the wards within 24 hours more than the group that not using the CPGs (100% and 61.1%). The group that using the CPGs can correctly determine the problem of diagnosis according to the patient problem more than the group that not using the CPGs (93.6% and 68.4%). Regarding the satisfaction of registered nurses on using the CPGs at a high level of 86.7 percent.Keywords: Development, Effectiveness of Clinical Practice Guidelines(CPGs), initial assessment, tertiary trauma survey (TTS)
Sikap Orangtua dalam Pembelajaran Daring Anak Tunarungu di Masa Pandemi Covid-19

The aim of the study was to find out the attitudes of perents during the online teaching and learning process for deaf children during the  covid-19 pandemic at SLB Negeri Bengkalis and SLB Cendana Duri. Date were collected using a questionnaire given to perents using google form and directly. This study uses data analysis techiniques in the from of percentages with categories that are divided into overall, almost enterely, mostly, partially, almost partially, and a small propotion of parents show attitudes in online learning.