Reviewerly/exHarmony huggingface dataset:
DROACOR<sup>®</sup> REFLECTANCE RETRIEVAL FOR HYPERSPECTRAL MINERAL EXPLORATION USING A GROUND-BASED ROTATING PLATFORM

Abstract. The acquisition of imaging spectroscopy data from ground based rotating stages is a novel approach which is more and more used in open pit mines for prospection and controlling. The special radiometric situation of such data sets asks for new processing approaches for geometric processing as well as for reflectance retrieval. Herein, a new method for atmospheric correction and relative reflectance retrieval is presented which is optimized for the special horizontal scanning situation by hyperspectral instruments from rotating ground based platforms. The method is implemented within the recently developed drone atmospheric correction framework DROACOR®. It combines a physical inversion of a radiative transfer code with semi-empirical correction approaches for illumination and spectral absorption. Sample results from two open pit mines show that mineral detection after reflectance retrieval allows the discrimination of iron minerals and that the retrieved spectra are well comparable to standard library spectra.
Pengaruh Penerapan Metode Pembelajaran Dengan Media Flash Card Terhadap Peningkatan Kemampuan Membaca Pada Anak Slow Learner

This research is about the influence of the application of learning methods with flash card to the improvement of reading skills of slow learner children in Kranggan Salomo Elementary School Semarang, the subject is a grade II elementary school. The experimental design used was one-group pretest-posttest design. The analysis method used is the Wilcoxon test. The result showed Z = 3,083 with p = 0,002 (p <1%), the hypothesis is accepted, there is a very significant effect of learning methods with flash card is  improving reading skills in slow learner children, the reading ability  pretest: mean 38,45; the posttest :mean 57.34. The results of the average reading ability before and after there are differences. The average yield increases after being given a treatment method of learning using flash card.
Libraries and their activities in the context of historical and local history development in the region

The article reveals the historical and local history activities of the libraries of the Odessa region in the second half of the 40s – 80s XX century. The analysis of this activity indicates that despite the great difficulties (the residual principle of financing culture, and the weak material and technical base of libraries), they have become real centers of local history work in the region. During this period, libraries have accumulated a significant bibliographic base on local history issues, acquired extensive experience in working with local history research. In the development of library local lore, an important role was played by bibliographers of local lore of Odessa scientific libraries. Thanks to their activities, a local history fund was collected in almost every library, catalogs and card indexes were created, which included numerous materials on various local history topics. That is why libraries performed the social functions of education and culture units and became centers of local history. However, the regional studies of the regional libraries require further in-depth study, because by that time they, acting as regional information centers, were engaged in the search, storage and provision of local history literature for public use. The development of library local lore in the region was negatively affected by those general tendencies of social life arising from the very nature of the then totalitarian regime.
Examining the Effect of Budgetary Controls on the Financial Performance of Oman Telecommunication Company

Objectives The objectives of the study were to analyze the different budgetary control techniques that affect and how it affects the financial performances; to determine the ways of effective budgetary control affecting the financial performances and to identify and to evaluate the roles of top management in budgetary control techniques of the Oman Telecommunications Company. Research Methodology A questionnaire was prepared for collecting the survey. The respondents were the employees of the financial department and also officials and supervisors from other departments of the Oman Telecommunications Company. The questionnaires were distributed to 60 members and the data collected was analyzed using Microsoft Excel to obtain the frequencies, percentages, and descriptive analysis. Findings The results indicated that there is a positive relationship between budgetary control and the financial performance of the company. The results also indicated that the company preferred the Responsibility accounting technique, Revenue budgeting technique, and variance analysis technique. It is also reported that the management is informed of the deviations regularly, and the managers take corrective measures promptly as and when required. It was found that the top management of the Oman Telecommunications Company is aware of the importance of budgetary control techniques and supports them. Research Implication From the results, it was recommended that the company should give prior attention to developing budgetary control through proper planning, ensure continuous evaluation of comparative analysis of actuals vs. budget. It was also suggested that the company introduce enterprise resource planning (ERP) as the monitoring will become easy for the financial management in ensuring the productivity of the employees in the budgetary control process. Social Implication The study will allow financial managers in various companies to understand the serious nature of budgetary control techniques, their importance, and the extent of the impact which in turn will help them to improve efficiency in achieving financial performances. Novelty No study was carried out before to study the impact of budgetary control on the organizational performance of Oman Telecommunication Company. This is a maiden attempt.
Language Learning Strategies Used by Extrovert and Introvert Students in English as a Foreign Language Speaking Classes

The students in Indonesia are from different cultures, languages, and personality traits (extrovert and introvert). Therefore, recognizing students’ personality traits and their language learning strategy may be effective to help teacher design an effective teaching strategies. The study, therefore, intends to find out the typical language learning strategies used by the extrovert and introvert students in English speaking class. The participants of this study were the fourth semester students in English Department of Gorontalo State University. This research used two models of questionnaire. They were the McCroskey’s introversion scale by Richmond &amp; McCroskey (1998) to determine the personality type for each subject and Strategy Inventory for Language Learning (SILL) by Oxford’s (1990) to see their learning strategy. The findings were explained by using the theory of language learning strategies by O’Malley and Chamot (1990). The result shows that the extrovert students used more language learning strategies highly frequently than introvert students with 12 items compared to introvert students with only 10 items. The most strategies used by extrovert students were cooperating and empathizing with others with 66.7% in always used, while the most strategy used by introvert students was note taking with 66.7% in often used.
Ontological Methodologies for Counselling Intervention: Do’a and Zikr Al-Mā’thur Corpus

Do’a and Zikr al-Mā’thur (authentic supplications and remembrance of ALLAH ‘Azza wa Jalla) can be suggested to Muslims to help them deal with challenges or issues in life. Counselling cases affect a person’s feelings. Do’a and Zikr al-Mā’thur are often applied as a counselling intervention. Unfortunately, the authentic Do’a and Zikr al-Mā’thur are dispersed in many resources not visible to users, and the fact that not all online resources offer access to accurate Do’a and Zikr al-Mā’thur to users and the dubious Do’a and Zikr al-Mā’thur frequently credited to the Prophet (pbuh). The goal of this research is to develop an ontology for the purpose of providing credible results to counselling cases in need of relevant Do’a and Zikr Al- Ma’thur. This research focused on presenting how an ontology could support to provide accurate information to cases supervised by high school counsellors. This research developed the ontology for Do’a and Zikr al-Mā’thur for counselling in Protégé. The methodology implemented in the ontology development included the models designed by Fernandez-Lopez et al., Thunkijjanukij, Gomez-Perez et al., and Kreider. The ontology was verified, validated, and evaluated by two subject domain experts. Most concepts were rated as ‘Compliant’ and some as ‘Partially Compliant’. Queries in SPARQL produced answers to the competency questions. Feedbacks from the user assessment proved that the executed results from the Do’a and Zikr al-Mā’thur ontology for counselling succeeded in fulfilling the users’ requirement. It is recommended that the sustainability of the ontology should be secured through constant submission of real cases by counsellors and people with similar roles for query analysis and results. Credible scholars should provide direction to trustworthy sources. Such essential input is valuable for content management and contributes towards very few domain ontologies that deliver support to professional works. It also provides the step-by-step procedures to ontology construction and assessment for Islamic collection for counselling intervention.
A COMPARISON ON SPECKLE NOISE SUPPRESSION ALGORITHM FOR INTRAVASCULAR ULTRASOUND (IVUS) IMAGES

Accurate and reliable diagnosis of carotid artery stenosis depends on the quality of IVUS images.Especially in ultrasound images where coherent sources are involved, speckle noise causes blurring and loss of information.Thus, methods to eliminate speckle noise plays an essential part in the field of medical imaging.This paper compares various speckle noise suppression algorithms for carotid artery ultrasound images.Speckle noise reduction algorithms that are implemented includes Homomorphic Wavelet Level 1 and Level 2, Perona-Malik (PM) filter, Modified PM1, Modified PM2, Adaptive PM, Butterworth Filter, Doubly Degenerative Diffusion (DDD), Speckle Reducing Anisotropic Diffusion (SRAD) and Total Variance (TV) filter.A quantitative evaluation is carried out by estimating Signal to Noise Ratio (SNR), Peak Signal to Noise Ratio (PSNR), Structural Similarity Index (SSIM), Beta Metric and Natural Image Quality Evaluator (NIQE).The performance metrics shows that Homomorphic Wavelet Level1, Modified PM 2, Adaptive PM and SRAD are robust in eliminating speckle noise from carotid artery ultrasound images, thereby increasing its diagnostic accuracy.Though DDD and TV approach have good SNR and PSNR values, their low Beta metric and high NIQE values have made them ineffective.
Improving the detection capability of the West Bohemian network by template matching approach&amp;#160;

&amp;lt;p&amp;gt;&amp;lt;span&amp;gt;During the West-Bohemia/Vogtland earthquake swarms thousands of events are detected within short periods of few days, whose preliminary location is provided by an automated procedure. The manually verified high quality catalog is provided with some delay and is usually less complete than the automatic one. &amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;lt;span&amp;gt;We developed a template matching procedure combined with differential time measurement and double difference location whose application in real time will allow to provide precise hypocentre locations for much larger data set than provided by the manual processing. Among others, the template matching approach includes flexible setting of the time difference between P and S waves which allows for event detection in a wider distance to the template&amp;amp;#8217;s hypocentre. This makes the size of the template dataset small enough to allow for efficient detection process. &amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;lt;span&amp;gt;Our application of the template matching approach is aimed at identifying repeated activation of some patches during the swarms and weak background activity in the intermediate periods. Detecting and analyzing the repeating earthquakes will help revealing the continuing background activity and identifying fault areas that are active permanently. This will point to the possible sources of fluids or aseismic creep that are supposed to play significant role in swarm generation. &amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;
｢-てしまう｣의 대응생략에 관한 고찰 - ‘-었/-ㄴ다’유형과 요인을 중심으로 -

The current study considers types and factors of the Korean clausal suffix ‘-eossda/-nda’ etc, which has the highest usage rate among the ommission corresponding to the Japanese suffix ｢-te shimau｣. Corresponding Korean Omission of ｢-te shimau｣ refers to the meaning of the verb joining with ｢-te shimau｣, the tense of ｢shimau｣ and the expression that follows ｢-te shimau｣ not to ‘-beorida/-malda’, etc. The ommission corresponding to ｢-te shimau｣ occurs because combination with ‘-beorida/-malda’ is restricted when the preceding verb has features [+generation][+positive][-action][-instantaneity], when the cooccuring adverbs have features [+homeostasis][+repeatability][+positive], when the corresponding Korean suffix types are ‘-eojida/-ge doeda’, or when the corresponding Korean is the in the highest honorific form. In addition, because the Japanese conjunctive clause ｢-te shimau｣, which connects clauses in temporal order, referes to completed events, correspondence is omitted. When combined with a modality expression at the end of a sentence, correspondence is omitted because ｢-te shimau｣ originally has the meaning of modality, which in turn causes meanings to overlap. If a learner of Japanese language who speaks Korean natively sufficiently identifies factors of such ommission of correspondence, then his or her learning and comprehension of ｢-te shimau｣ will improve significantly. The current study expands previous research that focuses on the contrast between ｢-te shimau｣ and ‘-beorida/-malda’, and shifts the focus to the corresponding omission ‘-eossda/-nda’ to suggest their factors. The results are significant in that they are generated by a new attempt regarding corresponding ommission of ｢-te shimau｣.
Novel Turkish Sentiment Analysis System using ConvNet

In this paper, an efficient model for the Turkish language sentiment analysis has been introduced.As Turkish is an agglutinative language, which requires spatial processing, an efficient pre-processing model was also implemented and integrated as a part of the developed system.In addition, the Deep Convolutional Neural Networks (ConvNet) have been integrated to build an efficient system.Several experiments using the "Turkish movie reviews" dataset have been conducted, and it has been observed that the developed system has improved the sentiment analysis system that supports the Turkish language and significantly outperforms the existing state-of-the-art Turkish sentiment analysis systems.
Ddan: A Deep Dual Attention Network For Video Super-Resolution

We present a deep dual attention network (DDAN) for video super-resolution, which cascades a motion compensation network (MCNet) and an SR reconstruction network (ReconNet). The MCNet utilize pyramid framework and learn the optical flow representations progressively to synthesize the motion information across adjacent frames. And it extracts detail components of LR neighboring frames for more accurate motion compensation. In ReconNet, we combine dual attention mechanisms and residual learning strategy for recovering high-frequency details. The DDAN performs effectively and generally on video super-resolution tasks. Relevant project has been released on Github.
The use of tools affordances to support communication and collaboration during COVID-19 remote work

Tools are commonly utilized by distributed agile software development teams to support communication and collaboration. However, few studies have systematically unpacked the affordances of such tools. Moreover, with the rise of COVID-19 in 2020, teams are faced with new dynamics and challenges that are not addressed by traditional remote work literature. Building on affordance theory, this study explores how teams can actualize tools affordances to support communication and collaboration during COVID-19 remote work. The chosen method is an in-depth case study of a distributed agile software development team, with data being collected using semi-structured interviews. The paper outlines 25 perceived affordances which were exploited from the various features of 10 tools. These affordances were actualized by the teams, resulting in 4 outcomes: Fostering of Engagement, Streamlined Communication, Enhanced Virtual Meetings and Increased Shared Understanding. The outcomes supported communication and collaboration during COVID-19 remote work. © AMCIS 2021.
ON THE STYLE OF THINKING RELATED TO INFORMATIZATION OF EDUCATION

The question of the style of thinking, which most reflects the results of informatization of education, is discussed. It is shown that such is the so-called "computational thinking", which contributes to solving problems in a highly developed information and educational environment. Computational thinking is the way people think in the digital age that can be useful (and for many it is) in the world of information technology and the massive involvement of computers in solving problems. For the formation of computational thinking, special efforts must be made, and they will be fruitful only in a highly developed information and educational environment created in the process of informatization of education. Computational thinking does not arise by itself - it must be purposefully shaped.
Iterative-deepening Bidirectional Heuristic Search with Restricted Memory

The field of bidirectional heuristic search has recently seen great advances. However, the subject of memory-restricted bidirectional search has not received recent attention. In this paper we introduce a general iterative deepening bidirectional heuristic search algorithm (IDBiHS) that searches simultaneously in both directions while controlling the meeting point of the search frontiers. First, we present the basic variant of IDBiHS, whose memory is linear in the search depth. We then add improvements that exploit consistency and front-to-front heuristics. Next, we move to the case where a fixed amount of memory is available to store nodes during the search and develop two variants of IDBiHS: (1) A*+IDBiHS, that starts with A* and moves to IDBiHS as soon as memory is exhausted. (2) A variant that stores partial forward frontiers until memory is exhausted and then tries to match each of them from the backward side. Finally, we experimentally compare the new algorithms to existing unidirectional and bidirectional ones. In many cases our new algorithms outperform previous ones in both node expansions and time.
청소년지도사의 자기효능감과 심리적 소진의 관계에서 회복탄력성의 매개효과

This study aimed to explore the mediating effect of resilience in the relationships between self-efficacy and psychological burnout among certified youth workers. To achieve this goal, we used questionnaires to measure youth workers’ self-efficacy, resilience, and psychological burnout. A total of 96 youth workers participated in the study and the data was analyzed with descriptive analysis, correlation test, multiple regression, hierarchical multiple regression, and bootstrapping using jamovi 1.0.0. The results revealed that self-efficacy, resilience, and psychological burnout are positively and negatively correlated. Specifically, we found that self-efficacy and resilience predict psychological burnout. Finally, resilience has a significant partial mediating effect between youth workers’ self-efficacy and psychological burnout such that self-efficacy could prevent the development of psychological burnout by improving resilience. These results suggest that self-efficacy and resilience could be positive personality traits for alleviating or eliminating psychological burnout among youth workers. The implications and limitations of the study are also discussed.
Annotations Matter: Leveraging Multi-task Learning to Parse UD and SUD

Using multiple treebanks to improve parsing performance has shown positive results.However, to what extent similar, yet competing annotation decisions play in parser behavior is unclear.We investigate this within a multi-task learning (MTL) dependency parser setup on two parallel treebanks, UD and SUD, which, while possessing similar annotation schemes, differ in specific linguistic annotation preferences.We perform a set of experiments with different MTL architectural choices, comparing performance across various input embeddings.We find languages tend to pattern in loose typological associations, but generally the performance within an MTL setting is lower than single model baseline parsers for each annotation scheme.The main contributing factor seems to be the competing syntactic annotation information shared between treebanks in an MTL setting, which is shown in experiments against differently annotated treebanks.This suggests that the impact of how the signal is encoded for annotations and its influence on possible negative transfer is more important than that of the input embeddings in an MTL setting.
Addressing Machines as models of lambda-calculus

Turing machines and register machines have been used for decades in theoretical computer science as abstract models of computation. Also the $\lambda$-calculus has played a central role in this domain as it allows to focus on the notion of functional computation, based on the substitution mechanism, while abstracting away from implementation details. The present article starts from the observation that the equivalence between these formalisms is based on the Church-Turing Thesis rather than an actual encoding of $\lambda$-terms into Turing (or register) machines. The reason is that these machines are not well-suited for modelling $\lambda$-calculus programs. We study a class of abstract machines that we call "addressing machine" since they are only able to manipulate memory addresses of other machines. The operations performed by these machines are very elementary: load an address in a register, apply a machine to another one via their addresses, and call the address of another machine. We endow addressing machines with an operational semantics based on leftmost reduction and study their behaviour. The set of addresses of these machines can be easily turned into a combinatory algebra. In order to obtain a model of the full untyped $\lambda$-calculus, we need to introduce a rule that bares similarities with the $\omega$-rule and the rule $\zeta_\beta$ from combinatory logic.
Quantum Radar and Noise Radar Concepts

Comparative analysis of Noise Radar (NR) and Quantum Radar (QR) concepts are presented in the paper. Recently proposed methods for generation of quantum correlated signals directly in microwave frequency range give more chances for design of QR for long-range applications. In many applications, the range resolution capability is of a great importance. Novel concept of Stepped-Frequency Quantum Radar (SF-QR) for design of QR with range resolution capability is suggested. FPGA based digital generation of entangled signals is discussed as well.