Reviewerly/exHarmony huggingface dataset:
VMS and epithermal-style ore deposits in the Archean Murchison volcanic arc, South Africa

The Archean Murchison greenstone belt, Northern Province, South Africa, represents a rifted volcanic arc sequence. The close spatial and temporal association of Au-As-Sb-Hg and base metal deposits suggest penecontemporaneous and premetamorphic epithermal-style mineralization and hydrothermal convection with the formation of VMS deposits. These occur within highly fractionated porphyritic rhyolites in a suggested supra-subduction zone setting. Subsequent deformation during collision and accretion of the arc led to intense remobilization of metals and the formation of regional shear zones along areas of premetamorphic alteration. The Murchison belt shares many similarities with recent arc-back-arc systems in the SW-Pacific which are favorable settings for the origin of shallow submarine hydrothermal systems.
Authigenic titanium minerals in the Egyptian kaolin deposits

Petrographical and mineralogical ivestigation of about 100 samples representing the Egyptian Carboniferous and Cretaceous kaolin deposits collected from a number of localities reveals the presence of anatase, brookite, rutile and sphene minerals. They were authigenically crystallized in the pore-spaces as crystal aggregates embedded in authigenic kaolinite. The presence of unstable titanium-bearing minerals such as biotite detritus, inherited illmenite and other unstable pyroxene and amphibole as well as the iron oxide minerals, gypsum and anhydrite may manifest the authigenic origin of the Ti02 minerals after the inheritance of the original titanium-bearing minerals. Anatase, brookite and rutile are more common in the studied deposits.
Shallow submarine epithermal-style As-Sb-Hg-Au mineralisation in the active Kermadec arc, New Zealand

Epithermal-style and transitional shallow submarine hydrothermal systems were discovered at recently active volcanic centers along the Tonga-Kermadec Arc, SW-Pacific. Notable enrichments in As, Sb, Hg, Ag, and Au, low base metal contents, characteristic alteration patterns and sulfur isotope ratios resembling precipitates from volcanic subaerial hot springs suggest contributions from magmatic sources. The growing number of discoveries of epithermal-style mineralisation in shallow submarine hot springs have significant implications for land-based mineral exploration in ancient volcanic belts, which are traditionally targeted for volcanogenic massive sulfide deposits but are largely unexplored for epithermal-type mineralisation.
Petrochemistry and trace element geochemistry of the Besshi type Cu-Zn deposit at Faziba, SE Gansu, NW China

The Faziba Cu-Zn deposit is the first economic Besshi type volcanogenic massive sulfide deposit in China. Comparative studies of petrochemistry indicate that the mafic volcanic rocks, hosting the Cu-Zn orebodies of the Faziba and the Yangba districts, might have been formed in an island arc-setting on the northwest margin of the Yangtze Plate. Chlorite schist of the Yangba Formation of the Bikou Group is characterized by higher Cu, Zn, Co, and Ni contents and higher Co/Ni ratio. This implicates that the Besshi type Cu-Zn mineralization at Faziba and Yangba were genetically related to the basic volcanic activity and rocks. There are some differences in the trace element geochemistry between the Faziba Cu-Zn and the Yangba Cu-(Co) deposit although both of them belong to the Besshi type deposits in the same metallogenic belt.
Mineralogy and origin of Carboniferous and Cretaceous kaolins from a number of localities in Egypt

About 120 samples representing the Carboniferous and the Cretaceous kaolin deposits collected from Sinai, Eastern Desert, Aswan and W. Kalabsha were petrographically, mineralogically and chemically investigated by means of XRD, XRF SEM, DTA, IR and the Geoscan Electron probe x-ray microanalyzer. These studies reveal the presence of traces of illite, montmorillonite and montmorillonite-illite, biotite-vermiculite and kaolinite-montmorillonite mixed layer, in addition to kaolinite which is the major clay mineral. The main non-clay minerals identified are quartz, feldspars, gypsum, anhydrite, rutile, anatase, brookite, nepheline, natrolite, zircon, tourmaline, apatite, iron oxides and carbonaceous material. The Carboniferous kaolin deposits are characterized by the presence of traces of rhodochrosite (MnCO3), which is mainly associated with iron oxides, gypsum, anhydrite, gibbsite, diaspore and carbonaceous material. Sandy kaolin deposits of the Cretaceous age contain traces of anatase, magnetite, zircon, rutile and apatite. Traces of gypsum anhydrite and goethite characterize the Senonian (Upper Cretaceous) pisolitic kaolin from W. Kalabsha area. The depositional environment of the different kaolin deposits is discussed in the light of the above mentioned data.
The geodynamic evolution of hydrothermal vein deposits in the Madan metamorphic complex, Bulgaria

Large lead-zinc mineralized vein swarms are associated with the Madan Dome in the Central Rhodopes, which is interpreted as a large metamorphic core complex. Within the scope of the GEODE-ABCD-project, studies in the Central Rhodopian area are carried out using high-precision geochronology to determine the relationship between and the timing of extensional detachment motion, core complex uplift, local acid magmatism and hydrothermal ore formation which should yield a p-T-t- model of the development of the Madan core complex. In conjunction with isotopic tracer and fluid inclusion data, we hope to identify the sources of ore-forming components and the mechanism of hydrothermal metal transport and precipitation.
Organic matter as a reducing barrier for ore and hydrocarbon mineralisation in black shales

The processes which occur during the depositional history of black shales are considered in terms of a conceptual [2SiO3-OH2-Mn+2Mm+O′4] (n=l,2; m≥3; O′-volatiles) aqua-complex. Structural and chemical rearrangements are catalyzed within clay media. The catalytic reactions are triggered by energy excesses in mineral systems caused by strain from the burial and compaction of sediments and by rock deformations. In process, C from carbonates and organics substitutes for Si in argillaceous rocks. Organic matter reduces metals, S, and C, which further participate in sulfidization reactions and the synthesis of hydrocarbon products. This mechanism suggests that self-organization was a major process of mineral matter ordering in submarine basins, with basic volcanics as a metals source.
Ore minerals of the Doyashiki Kuroko deposits, Hokuroku basin, Japan

The detail researches on ore and gangue minerals from the Doyashiki Kuroko deposits, Hokuroku basin, Japan were performed. Their ore minerals are sphalerite, galena and tetrahedrite-tennantite in black ores and chalcopyrite and pyrite in yellow ores. Small amounts of marcasite, digenite, enargite and wittichenite occur. Covellite is recognized as secondary product. Barite, gypsum id anhydrite as gangue minerals are common. Ore minerals, their parageneses and chemical compositions were compared with those of other Kuroko deposits and submarine massive sulfide deposits.
Edugramers y edutubers: Do I produce and then teach? Analysis of educational accounts on Instagram and YouTube

Nowadays, Instagram and YouTube are becoming one of the biggest spaces for interrelation between people, specially between younger generations of the population. Nevertheless, there are few investigations based on the influence it can have on education, a reality that has come to stay and that cannot be ignored. With this research, this virtual environment has been addressed, dealing whit its analysis from an educational perspective, and taking as a reference four educational accounts on Instagram and four educational YouTube channels, whose educational quality has been determined through the curricular, pedagogical, didactic, technical, aesthetic, expressive aspects and their accessibility. In addition, the characteristics of these accounts and the edugramers and edutubers that manage them have been determined. When analyzing this reality, a mixed methodology has been used. For this, the methodological instruments that have been used throughout the research are the observation scale and the semi-structured interviews to an edugramer and two edutubers. The results show a great variety of educational accounts of quality in all aspects within the Instagram and YouTube platforms, as well as a series of common characteristics in these social media and a series of peculiarities shared by the educational instagramers and youtubers that manage these cyberspaces.
NExG: Provable and Guided State-Space Exploration of Neural Network Control Systems Using Sensitivity Approximation

We propose a new technique for performing state-space exploration of closed-loop control systems with neural network feedback controllers. Our approach involves approximating the sensitivity of the trajectories of the closed-loop dynamics. Using such an approximator and the system simulator, we present a guided state-space exploration method that can generate trajectories visiting the neighborhood of a target state at a specified time. We present a theoretical framework which establishes that our method will produce a sequence of trajectories that will reach a suitable neighborhood of the target state. We provide a thorough evaluation of our approach on various systems with neural network feedback controllers of different configurations. We outperform earlier state-space exploration techniques and achieve significant improvement in both the quality (explainability) and performance (convergence rate). Finally, we adopt our algorithm for the falsification of a class of temporal logic specification, assess its performance, and show its potential in supplementing existing falsification algorithms.
Teaching financial literacy in educational organizations of the Lipetsk Region: Analysis of monitoring result

The article was devoted to a comparative analysis of the features of teaching financial literacy in preschool, general and professional educational organizations of the Lipetsk Region in Russia. The results of the monitoring of the place and role of aspects of teaching financial literacy in the educational practices of organizations in the Lipetsk Region showed a controversial picture. On the one hand, monitoring revealed the presence in the educational programs of most organizations of modules in the direction of financial literacy. On the other hand, the total amount of hours allocated for the development of financial literacy is not significant and is mainly implemented in extracurricular activities. It was concluded that the greatest problems are present at the level of general education, where the absence of separate financial literacy courses in educational practices is noticeable. Educational and outreach activities to improve financial literacy are actively implemented in the segments of educational and extracurricular activities, remaining in most organizations outside of elective courses. The results of the monitoring allow us to speak about the readiness of the education system in the Lipetsk Region to act as one of the institutions for improving the level of financial literacy, provided that the place of the financial literacy course in educational activities increases, as well as the formation of conditions for the continuity of topics and practices of teaching the course at all levels of education.
Progressive professional educational technologies

The article notes the relevance of using computer technology and the test system Moodle, associated with the need to master modern technologies and specialties in accordance with the objectives of the modern quality of education and its fundamentality. The updated stages of higher education institution development in Russia are highlighted, since in the progressively developing technological society the need for highly-qualified new professional specialists is growing rapidly. It is shown that modern approaches in education will have the most significant impact on the idea of the goals and results of education of different types and levels, starting from the general education school.
Development of the Greenwell Matongo Community Library Management Information System (LMIS)

An automated Library management information system is a library system that automates the manual library system to assist librarians in managing a library. Applying the prototype methodology, this project developed an automated management system for the Greenwell Matongo Community library in Namibia. In order to achieve the project aim, the developers applied the prototype methodology and conducted semi structured interviews gather user requirements from the project population. The population consisted of librarians, the library users and stakeholders. The developed system allows for add/update of library users and resources including books. The system also allows for users search for books and renews books online. They can recommend / suggest missing books by using the system suggestion tool. Librarians are able to view issued and returned book and also use the system to payments for late returned or lost books. Considering that more functionality could be added to the system, it is recommended future development of similar systems or a higher version should implement barcode scanning feature, provide for automatic notification through SMS or USSD technology.
School Management Information System (SMIS) for the Elite College

This project aimed at developing a school management information system for Elite College. Applying prototyping methodology and gathering user requirement through interviews, the system was developed. The developers used the prototype development method, because the developers found it as a flexible method that adapts to system requirement changes, thus enabling the developer to re-define the scope of project whenever need be. The developed system allows for student registration, online fees payment, students access to their personal and academic information (timetable, upcoming events, marks, transcripts / academic records and financial statement). The system is unable to send SMSs and emails and hence future development of similar system or higher version should consider incorporating this feature as it makes communication more efficient.
ICT Adoption Challenges: Case of Rural Small-Scale Farmers In The Amathole District Municipality Of South Africa

The aim of this paper is to understand how socio-economic characteristics can serve as a barrier to ICT adoption or usage among rural small-scale farmers in the Amathole District Municipality (ADM). The study utilises two main approaches to survey 57 small-scale farmers in the rural areas of the ADM, namely quantitative and non-probability sampling methods. The study identified potential barriers to the selected farmers adopting ICT as most of the survey farmers are illiterate, and few have attained basic education and gone past secondary school. Other factors also identified are the lack of access to modern ICT and its perceived usefulness, which many farmers see as facilitating communication. Cost, the lack of computer skills and Internet connectivity were also identified by most respondents as a problem that could hamper ICT adoption. The study recommends that to ensure effective use of ICT among rural, small-scale farmers in the ADM, the first step is for stakeholders, policymakers, and agencies to come up with intervention programmes such as e-skilling to address the reported barriers.
Towards industrial applications of optical in-line measurement of geometry

Automatic control of the geometry of manufactured components is a cornerstone in the Industry 4.0 transfer that still constitutes an elusive goal. There are however some full-field optical techniques that in combination with optimized software have started to make the transition from the measurement room out to the production line and are able to generate real-time measures of sufficient quality. In this presentation two such techniques are reviewed together with challenges that still remains to be solved before a full implementation is possible. Short-range photogrammetry is a technique that utilizes the explosive development of high-resolution detectors to measure shape from differences in perspective observed in two or more cameras. As a non-interferometric technique, it relies on the presence of structure on the surface of the component that can be identified from different views. With present day technology it has been shown that it is possible to reach a precision of roughly 10-4 of the measurement volume in serial production. Another technique that has the potential to make the same transition is multiplexed multi-wavelength holography. Historically phase wrapping has been seen as an obstacle to apply dual-wavelength holography on generally shaped objects, which has pushed the technique towards wavelength scanning or coherence-gating and scanning. However, new approaches in software have made multiplexed multi-wavelength holography attractive for use also in an industrial environment, which is demonstrated by the use of a specially designed three-wavelength pulsed laser system. The precision achievable is comparable or slightly better than for photogrammetry and the robustness is sufficient. Despite the fundamental differences in technology both techniques require for its realization the same software steps to generate absolute measures, which include object identification, alignment, virtual fixturing and calculation of absolute measures. In the presentation the role of each of these steps are described in some detail.
Accuracy-enhanced diffraction image profilometry using foreign aberration for resolving image ambiguity

A new optical surface measuring method based on correlation-based diffractive image profilometry (DIP) is developed for accuracy enhancement by introducing external optical aberration to the microscope. According to the diffraction theory, the diffractive images formed in the microscope mainly depend on the microscopic optical system and the surface features of the tested object. The most critical issue affecting the measurement accuracy of the DIP is that the uniqueness of the diffractive images corresponding to various surface geometric parameters such as different heights and orientations cannot be always guaranteed. This situation can bring undesired uncertainties in surface measurement since undesired ambiguity in image correlation or model estimation may be introduced. To resolve this, a designed foreign aberration is introduced into the microscopic optical system to develop the feature variance of diffractive images for significantly increasing the degree of the image variance, therefore the risk of ambiguity is effectively avoided. Proved by some experimental tests, with this method, the accuracy in measuring height, tilting angle, and tilting direction can be achieved to a level of sub-micrometer and less than 0.01 degrees, respectively.
A Machine Learning and NLP Approach for Analyzing Eligibility Based on Resume and CV

Today Jobs are curved to consider the wishes of the organization. Ideally, job design is destined to be a tired response to maintain the operational model and hence the functions needed. Every job should serve a purpose and contribute to the interests of business outcomes. All changes within the business should consider the impact on jobs and managers should re-design those jobs to suit. Good jobs may even contribute to motivating and inspiring generations to come. Dangerous job design can fail to make that motivation. Job descriptions are in all probability the foremost necessary employment-related documents for a firm. employment description underpins the utilization contract by commencing what management wants from an employee. They are thus a kind of the premise of all employer-employee interactions leading on to appraisal, development, pay and succession discussions. The application that will be presented will try to solve the above concern by acquiring the CV/Resume and related examination scores for the job description the candidate has applied to and by using Text Extraction Techniques the information extracted will be sent in the backend of the application and use the necessary data extracted and run it on the ML model and compare it with some of the top Resumes, Personality and Technical Knowledge evaluation and provide the candidate with good insights on various aspects. The proposed system will first extract the useful terms by using OCR engines from the scanned PDF of CV/Resume, analyze and split the data into categories like Education Qualifications, Experience, Skills, Projects, Candidate Description etc. And based on the data gathered, an evaluation for a particular job description will be done.
Overview of Machine Learning

The field of machine learning is introduced at a high level of abstraction. The concepts of supervised and unsupervised learning, regression, and classification are all discussed. A major guiding notion of learning is the balance between bias, variance, and model complexity. The neural network (feed-forward and recurrent), support vector machine, random forest, self-organizing map, and Bayesian network are all examples of models that machine learning can develop. The core ideas of partitioning a dataset into training, testing, and validation sets, as well as performing cross-validation, are addressed next. The importance of the domain expert in keeping the project real is discussed next, followed by evaluating the model's goodness. The chapter ends with some practical advice on how to perform a machine learning project.
Optical Character Recognition using Convolutional Neural Network

The Optical Character Recognition is used to detect the information from natural images and convert them into words, symbols and numbers. Known as computer vision, this is a sub-field of image processing that deals with the “sight and recognition” by a machine. The method implemented in this study is done using a concept known as Convolutional Neural Networks (CNN). This is a Deep Learning algorithm that can take in an input image, assign importance (learnable weights and biases) to various aspects/objects in the image and be able to differentiate one from the other. CNN used for recognition takes an input image, pre-processes it and recognises it. The CNN algorithm, built from a limited dataset, can produce results suitable for small scale implementations with limited storage space. The chapter begins with creating a dataset consisting of images for text and symbols. The dataset is divided into training, testing and validation data. CNN is the main algorithm used from a training stand point and can provide accurate results. An input image is loaded as a file or using a webcam and fed into the developed OCR system. It will then undergo pre-processing (binarisation, equalisation, reshaping, resizing), one hot coding, creation of neural layers and finally, the output image can be recognised.