Reviewerly/exHarmony huggingface dataset:
DISCOVERY OF NEW KIMBERLITE FIELDS ON THE SOUTHERN SLOPE OF THE LEONE-LIBERIAN SHIELD (Sierra Leone)

During 2017–2018 not far from Sewafeh town, Kono province (Republic of Sierra Leone), we identified a number of previously unknown manifestations of kimberlite magmatism in the form of a system of individual veins localized at the contact of the migmatite basement and Archean ultrabasic massifs, or in the immediate vicinity of ultramafic massifs, which is part of the rocks of the greenstone belt. The optimal sequence of conducting remote sensing studies, such as interpretation of space images of various resolution, neotectonic and geomorphological analysis, SRTM modeling, and then field geological and geophysical research have facilitated this discovery. According to drilling data, kimberlites in different spots of their occurrence (Punduru 1 area) are represented by subvolcanic phlogopite-olivine (with perovskite), and olivine varieties, as well as veins of numerous intensely metasomatic altered kimberlite breccias (Yomby area). Veins of subvolcanic kimberlites are concentrated in the contact part with ultramafic massifs of magmatic and lava (metakomatiite xenoliths) genesis. Kimberlites are the youngest vein formations in the area, crossing even vein pegmatites, the generation of which was provoked by the intrusion of ultramafic rocks in the basement migmatites (Cederholm effect). Kimberlites are present in the section of wells in the form of separate veins of complex morphology and thickness from a few centimeters to 45 cm. In well P1-2 at a depth of 92 m, these are represented by micro porphyry kimberlites of the basaltoid type with microlithic groundmass, altered by secondary metasomatic processes. Porphyry inclusions are represented by pseudomorphs of carbonate-serpentine composition after olivine and rare phlogopite flakes. Olivine crystals of the second-generation act as micro porphyry inclusions. The rock matrix is carbonate. Carbonate is represented by finely crystalline calcite, or replaced by dolomite. In addition to olivine, the groundmass contains relics or pseudomorphs after phlogopite, as well as magnetite, perovskite (it can be replaced by magnetite), secondary apatite. The kimberlites of the Bambawo area are represented by sub-volcanic porphyry basaltoid kimberlites, autolithic kimberlites and kimberlite xenotuff breccias.
Blockchain: A Data Metamorphosis?

Abstract Do you believe the hype? Anthony Day, Blockchain Partner for IBM UK &amp; Ireland, talks to Johanna Hamilton AMBCS about whether blockchain is a transformative tool or just a new way to do something we were already doing.
ENGLISH COMPETENCE OF EMPLOYEES REQUIRED IN INDUSTRIES

The focus of this exploratory and qualitative research was the need of the non-banking and state-owned industries, to the employees’ English competence. There was a general research question: How important is the employees’ English competence for the state-owned non-banking and financial industries? Survey research method was implemented to collect data as many as possible. It was found that almost all positions in aviation industries need the employees’ English competence, followed by shipping, electricity, and plantation industries. Speaking skill can be concluded as the most needed English competence by the employees. The result of this research is in long term hopefully to be used as a reference in designing the English teaching materials, especially for the Medan State Polytechnic.
Independent Research and Development or Technology Mergers and Acquisitions? Decision Mechanisms of Research and Development Strategies in a Two-Stage Game

This research introduces the three variables of spillover effect, research and development efficiency, and cost of mergers and acquisitions as the chief factors affecting independent research and development and technology mergers and acquisitions based on a two-stage game theory model of research and development strategies. Using these three variables, this research explains the selection of independent research and development or technology mergers and acquisitions according to profit maximization. Based on the theory model, this research finds that costs of mergers and acquisitions and spillover effects play a significant role in research and development decisions. In addition, excessive costs of mergers and acquisitions can increase research and development expenditures, therefore reducing profit and affecting the organizational operation and development. Therefore, when the costs of mergers and acquisitions exceed a certain level, companies will abandon technology mergers and acquisitions and choose independent research and development; and a higher knowledge spillover effect reduces the costs of independent research and development, therefore increasing profit. In conclusion, given certain costs of mergers and acquisitions, a higher spillover effect helps business organizations to choose independent research and development strategies.
Statistical Feedback Evaluation System

In this chapter, a new broad-spectrum feedback evaluation methodology to analyze users’ opinions or sentiments belonging to various domains is discussed. This methodology processes the users’ textual feedback to extract the features and the sentiments expressed by the users. The features, also called aspects of an item (product/service/person), are identified by applying statistical models and using the linguistic knowledge embedded in the feedback. The methodology allows the users to perform a customized evaluation of an item for the selected aspects. Identified aspects are also used to create a more meaningful questionnaire capturing the users’ opinions more effectively. The comprehensive opinion measure compares two or more items of the different brands/domains very easy for prospective customers or employers. For each aspect, an opinion measure index whose value lies between −1 and +1 is calculated along with a weight factor on the scale of 0–1, representing the importance of that aspect based on user feedback. Two different domains were chosen for implementation where the first dataset contains feedbacks of teachers and the second dataset is of laptops.
Energy Efficient Trust Analysis System for Dynamic Cloud Environment

Distributed computing has on a very basic level changed the sending and use of data advancements. Multi-inhabitant cloud, which more often than not rents registering assets to occupants as virtual machines (VMs). The methodology of combining assets utilizing virtualization permits the cloud framework suppliers to accomplish ideal asset use while keeping up satisfactory objectivity. In any case, giving virtual disconnection other than physical disengagement might likewise have some security suggestions. For instance, co-finding VMs on the same stage might prompt verifiable asset sharing (e.g., reserve) among co-found VMs, which presents chances of security obstruction. Past specialists have exhibited the pertinence of utilizing different side-channel assaults to concentrate data, for example, physical territory and workload information. While the organizations baserepresentation of disseminated registering make more IT possessions open to a more broad extent of consumers, the gigantic measure information in stages turning into an objective for malignant clients. In this paper, the framework utilizes Virtual Machine Allocation Policies to the security issue of the co-inhabitant assault. We tackle the issue from an alternate point of view, by concentrate how to enhance the virtual machine allotment strategy, so it is troublesome for aggressors to co-situate with their objectives. To give security by utilizing Network analyzer device. N/A Tool is utilizing to investigate system issue, identify system abuse by interior and outer clients.
WATER SYSTEM OF THE RIVER IN URBAN AREAS THAT AFFECTED BY THE INFLUENCE OF THE TIDES CASE STUDY: TELUK DALAM RIVER IN BANJARMASIN

Teluk Dalam River is one of the small rivers lays in Banjarmasin. However, when the tides occur, some places such as houses and roads that located around the riverbanks still run into puddles and water system that still need to regulated again. This final project discusses about the water system in urban area that affected by the tides.The method used is the field research in the form of geometrical data every 50 meters conducted along the river, tidal data for 15 days and speed river data. Geometrical data that used is the geometrical data every 100 meters, then that data were input in Autocad Landekstop 2009 to get cross sections and long sections of the river. The tidal data were analyzed through Admiralty method and Worldtides application that will get the results of tidal harmonic constants such as number of Formzahl, MSL, MHHWS, etc. Then the tidal analysis results with the highest elevation MHHWS to be input on river sectional in Autocad. So, we will get cross and long sections of the river that run into tidal water run off and will get a safe levee elevation plans. Digitization of Teluk Dalam river watershed also conducted to determine the land use in the watershed of the river Teluk Dalam. The Results of the research showed Teluk Dalam River length is 3.55 km, The number of stations that were flooded due to tidal as many as 3 for admiralty method and 16 for worldtides of the total 35 stations, with the water level varied. And for the water system need to clean up the river, raising the riverbanks, and management of water buildings in Teluk Dalam River. .Key Words : Teluk Dalam River, Water Sytem, Channel Cross Section, Tides, Worldtides
Credit Channel of Monetary Transmission Mechanism: New Insight from SVAR-DAG Approach

The credit channel of monetary transmission mechanism gains significant importance after global financial crises. The present study has investigated the credit channel for an emerging economy of Pakistan, which has an underdeveloped financial sector. The study has collected monthly data from June 2006 to June 2018 on credit to the private sector (CPRVS), interest rate, money supply, price level, and industrial production index. The study has contributed to the empirical literature by investigating the contemporaneous causal relationships among the variables. Further, the study has investigated the effectiveness of the credit channel of the monetary transmission mechanism. The study has employed the SVAR model along with direct acyclic graphs (DAG) to identify the covariance matrix.The study notes that the credit channel is ineffective in Pakistan, and it does not contemporaneously cause economic growth (EG).Further, EG causes credit supply to the private sector. Hence, when the economy grows, the financial sector develops, and commercial banks extend more credit to the private sector. The study also notes that the interest rate has no contemporaneous impact on the CPRVS. Moreover, for robustness check, we have estimated two SVAR models, one with a real discount rate as a measure of interest rate and the other is with the real lending rate, as it is more related to the credit supply. However, both proxies give the same results, which implies that our findings are robust. Hence, we can conclude that the credit channel is ineffective in Pakistan.
An Information and Predictive Credibility Control System Using Blockchain Technique

Since then, the use of the blockchains for emerging technologies such as AI has been explored by leading community science, where several actors or agents work together to settle for consensus. To do this, data must be converted into blockchain information in blockchain storage. This blockchains are referred to as blockchains based on information. Information blockchains can be useful for effective implementation of risk management. A previous work implemented the blockchain probabilistic which renders blockchains dependent on information simpler. This article suggests an extension of the definition of the stochastic blockchain. It is suggested that a social marketing system should be developed for such blockchains. It is planned to satisfy the needs of a wide variety of applications. In general, we use it to detect relevant nodes and reduce its effect on the consensus mechanism of the stochastic blockchains. We test the system using multiple adversary tactics by applying it to a benchmark. We also evaluate unilateral decisions both with and without identification of malicious nodes. Both outcomes indicate a sustainable efficiency, in which the planned work outcomes and results are outstanding.
Pengembangan Media ‘Economic Monopoly’ Berbasis Game Untuk Mata Pelajaran Ekonomi Kelas X SMAN 1 Singosari

Digital technology-based learning media has not been widely used yet in SMA Negeri 1 Singosari. The economic subject learning process used by the teachers in SMA Negeri 1 Singosari, in textbooks and PowerPoint, does not maximize the facilities and potential available in this digital era, hindering students' capability in learning well. The school rules that do not prohibit students from bringing smartphones to school and the development of media and technology can minimize the obstacle. This research and development aim to develop an android game-based learning media called "Economic Monopoly (Ecopoly)" for 10th grader economic subject of SMA Negeri 1 Singosari in some chapters such as Sentral Bank, Payment Method, and Payment Tool. The study design for this research is the R&amp;D method that refers to the ADDIE model. The developed media later will be validated by the subject expert, media expert, and the users. The final expert validation result show that Economic Monopoly (Ecopoly), referred to as "Very Worthy, " is used as an economic subject learning media for sentral bank, payment method, and payment tool.
Digital Money: Private versus Public

The financial system is undergoing fundamental change. Fintech and bigtech firms push the technological frontier, redefine business models and force banks to adapt. In parallel, new forms of money and alternative payment systems emerge. Alipay, Apple Pay, Bitcoin and new types of digital central bank money compete with traditional bank deposits. What are the macroeconomic consequences of these new means of payment? We address five key concerns that are frequently put forward:Aren’t digital currencies just a hype, now that crypto “currencies” like Bitcoin have proved too volatile and expensive to serve as reliable stores of value or mediums of exchange? This confuses things. Central Bank Digital Currency (CBDC) is like cash, only digital; Alipay, Apple Pay, WeChat Pay etc. is like deposits, only handier; and cryptocurrencies are not in any way linked to typical currencies, but they live on the blockchain.Doesn’t CBDC or “Reserves for All” choke investment by cutting into bank deposits? No, because new central bank liabilities (namely CBDC) would fund new investments, and this would not in any way imply socialism or a stronger role of government in investment decisions.Wouldn’t CBDC cut into the profits that banks generate by creating deposits? Less money creation by banks would certainly affect their profits. But if this were deemed undesirable (by the public, not by shareholders and management) then banks could be compensated.Wouldn’t “Reserves for All” render bank runs more likely, undermining financial stability? We argue that, in fact, the opposite seems more plausible.Aren’t deposit insurance, CBDC, “Vollgeld”/sovereign money, or the Chicago plan all alike? There are close parallels indeed between the different monetary regimes. In a sense, money is changing and yet, it stays the same…
Coaching Leadership and Happiness: The Mediating Effects of Learning Goal Orientation and Feedback Seeking Behavior

The purpose of this study is to empirically verify the mediating effect of learning goal orientation and feedback seeking behavior in the process of coaching leadership affecting happiness. To this end, we conducted a survey of 331 office workers across the country, secured reliability with SPSS 26.0, conducted a confirmatory factor analysis with AMOS 26.0, and verified the hypothesis using a bootstrap method with SPSS Process Macro 3.5. Research has shown that coaching leadership has a positive effect on learning goal orientation, feedback seeking behavior, and happiness. In particular, it has been shown that the learning goal orientation has a positive effect on the feedback seeking behavior, happiness, and that the feedback seeking behavior has a positive effect on happiness. Furthermore, the learning goal orientation and feedback seeking behavior have been shown to have a mediating effect in the relationship between coaching leadership and happiness. The implications of these findings are summarized as follows: First, learning goal orientation and feedback seeking behavior have been empirically identified as new mediating factors in the relationship between coaching leadership and happiness. Second, it is necessary to introduce systematic coaching and education programs for strengthening learning goal orientation, which has a positive impact on the happiness, and to implement programs to improve feedback seeking behavior.
Exploration and Practice of ESP + EGP Integrated Teaching Model in Higher Vocational Education

As an important general course in higher vocational colleges, plays an important role in the future employment and development of students. However, it is often inappropriate to set the curriculum, especially the relationship between industrial and English. This subject research is based on an in-depth analysis of the current situation of teaching in higher vocational colleges, taking the foreign language application course of Jiuquan Vocational and Technical College as a practical carrier, following the principles of practicality and adequateness, and applying the concept of work-study to closely surrounding enterprise groups and occupation Group, post group, technical group actual needs, optimize teaching content, deepen the reform of teaching mode, explore and restructure the basic English+ industry English teaching system, achieve a deep integration of and industry English, in order to optimize higher vocational education The course setting and the improvement of students' foreign language application ability provide a reference example.
Vedic interpretations through the ages: A study on interpretations

The Veda is the hub of Indian Knowledge System. It was developed from unknown sources and believed to lead the being to certain domain which is also unknown, to know about that unknown, several initiatives were taken. Out of those devices, a branch of literature named commentary has been developed. There are chronological developments of this literature. In the line of evolutionary developments, we can see development of many literatures. Brahmana was the first literature where sufficient experiments were undertaken to understand the Vedas. Gradually we come across the literatures like lexicology and word by word commentary.
Research on the emotional tendency of web texts based on long short-term memory network

Abstract Through the analysis of emotional tendency in online public opinion, governments and enterprises can stabilize people’s emotion more effectively and maintain social stability. The problem studied in this paper is how to analyze the emotional tendency of online public opinion efficiently, and finally, this paper chooses deep learning algorithm to perform fast analysis of emotional tendency of online public opinion. This paper briefly introduced the structure of the basic model used for emotional tendency analysis of online public opinion and the convolutional neural network (CNN) model used for text emotion classification. Then, the CNN model was improved by long short-term memory (LSTM). A simulation experiment was carried out on MATLAB for the improved text emotion classification model to verify the influence of activation function type on the improved model and the performance difference between the improved model and support vector machine (SVM) and traditional CNN models. The results showed that the improved classification model that adopted the sigmoid activation function had higher accuracy and was less affected by language than the relu and tanh activation functions; the improved classification model had the highest accuracy, recall rate, and F -value in classifying emotional tendency of web texts, followed by the traditional CNN model and the SVM model.
On the supersingular GPST attack

Abstract The main attack against static-key supersingular isogeny Diffie–Hellman (SIDH) is the Galbraith–Petit–Shani–Ti (GPST) attack, which also prevents the application of SIDH to other constructions such as non-interactive key-exchange. In this paper, we identify and study a specific assumption on which the GPST attack relies that does not necessarily hold in all circumstances. We show that in some circumstances the attack fails to recover part of the secret key. We also characterize the conditions necessary for the attack to fail and show that it rarely happens in real cases. We give a link with collisions in the Charles-Goren-Lauter (CGL) hash function.
A multidisciplinary analysis of amazon online reviews (2010-2019). Towards an augmented indexicality in the e-commerce communication

From a multidisciplinary perspective, this thesis analyses online reviews as a genre, and proposes an innovative theoretical development to Communication. It is highlighted the role of interfaces and mediations in the content production, circulation and reception. An augmented indexicality is argued to respond to the singularities of the Internet.The objective is to introduce an innovative methodological and theoretical perspective on online text research, specifically, in discourses regarding the purchase of products. A multidisciplinary methodology construct is built with contributions from Computer Science, Neuromarketing and Cognitive Neurosciences, in addition to traditional methodologies of the Social Sciences.A multidisciplinary analysis is performed through three phases which correspond to the discourse analysis of Eliseo Veron?s Theory of Social Discourses (1987). Therefore, the conditions of production of the online reviews as discourses are reconstructed; the online reviews are analysed with a sociosemiotic analysis of a corpus of 700 Amazon.com 2010-2014 reviews, Sentiment Analysis, N-grams analysis, a contrast with the Corpus of Contemporary American English (COCA), and an exploration of reviews on Youtube; studies on the conditions of reception of online reviews are performed in the Basque Country and Navarre (a 474 participants survey and a focus group); and 19 in-depth interviews are conducted to experts from the fields of Communication, Semiotics, Computer Science and Neuromarketing.Online reviews filter and reference product messages, and define a shared space in the Internet networking system. The reviews are predominantly indexes, and they mediate between the individual and social level, and influence purchase decisions. They are social markers which are incorporated and reproduced by users and consumers. These social markers allow individuals to be part of the Internet community in a post-truth context, in which hierarchical systems and figures of authority are compromised.