Reviewerly/exHarmony huggingface dataset:
Applicability Limits of the Maturity Concept in Organic Geochemistry

To find out how various maturity criteria reflect how much OM as a whole approaches the state of chemical equilibrium, correlation analysis of relationships between 27 composition parameters was carried out. The OM was obtained from carbonate, siliceous–carbonate, carbonate–siliceous, and siliceous rocks from the northern and central regions of the Volga–Urals area (more than 100 samples). The data were processed using the apparatus of nonparametric statistics. We analyzed interrelations only between maturity indicators that are based on the same type of reactions (for example, reactions breaking C–C bonds). It has been established that none of the 85 correlation coefficients corresponds to the values characteristic of the functional dependence. The largest absolute value is 0.87. Therefore, maturity can be a factor determining the value only of one of all the parameters. For the rest, two options are possible. First, even for reactions of the same type, it is impossible to judge whether chemical equilibrium is generally approached. Second, the values of almost all the parameters are affected not only by reactions of approaching equilibrium but also by several other comparable and unknown factors. It is shown that, if the difference between the samples is up to five-fold values of any of the parameters, it is impossible to determine whether the OM of one of the samples is more mature than in any other. Thus, the concept of maturity is applicable at best only to roughly subdivide OM samples, with an increment in any parameter corresponding to at least a ten-fold change in it. For a detailed description, the term maturity can be used only with specifying the parameter by which it is determined (for example, maturity based on the Ts/Tm ratio). In this case, several such indicators based on reactions of different type should be used.
Quartz-Hosted Fluid Inclusions in Commercial Ores of Various Type at the Verninskoe Gold Deposit, Bodaibo District, Russia

The paper presents data on quartz-hosted fluid inclusions in commercial ores of various type (veinlet−disseminated and vein) of the Verninskoe gold deposit. The ores of various types were found out to significantly vary in the values of some of their physicochemical parameters of the fluids and in the composition of these fluids. The fluids that formed the gold veins have a somewhat higher initial temperature (356–246°C), a higher density of carbon dioxide in gas inclusions (1.00–0.84 g/cm3), and a higher fluid pressure (3170–1390 bar) than those of the fluids that formed the veinlet–disseminated ores (330–252°C, 0.87–0.54 g/cm3, and 1960–570 bar, respectively). The fluids that formed the gold veins were enriched in CО2, Sr, Ag, Ga, Ge, Mn, Fe, Ni, Sn, Ba, and REE, whereas the fluids that formed veinlet–disseminated mineralization were richer in HCO−3, Br, Sb, V, and Au. This situations may be explained by the interaction of the deep fluid with the terrigenous host rocks in the course of ore deposition. When vein quartz crystallized in relatively wide fractures, the fluid interacted with host rocks and changed not as much as when the veinlet−disseminated ores were formed in narrow fractures. The initial parameters of the fluid that formed the vein quartz were thus the closest to the characteristics of the fluid that transported the ore components, and the comparison of these data with the parameters of the fluids that formed the veinlet–disseminated mineralization demonstrates that they changed in the course of ore deposition. The mineral-forming fluids likely came from a deep-sitting source, and the mineral-forming processes may have involve granitoid-derived fluids.
DETERMINATION OF THE TRACE ELEMENT COMPOSITION OF BLACK SHALE ROCKS AND ORES. CERTIFIED REFERENCE MATERIALS OF SLg-1 AND SChS-1

A set of methods for studying the trace element composition of black shales has been developed, including various options for preparing samples for analysis to determine individual groups of elements, including PGE and gold, by atomic spectroscopy methods (ICP-AES, ICP-MS, ETAAS). Data on the content of 54 elements in certified reference materials (CRMs) of black shale rocks SLg-1 and SChS-1 were obtained. The metrologically characterized data will make it possible to use these CRMs for a detailed study of the composition of rocks and ores containing carbonaceous matter. The relevance of the problem is due to the absence of natural multi-element CRMs, in which elevated and clarke contents of gold, silver, as well as all PGEs, are simultaneously certified.
UNCONVENTIONAL PATH OF TEACHING IN HIGHER EDUCATION DURING PANDEMIC SITUATION

Covid 19 Pandemic has made all the educational schools across the world adapt teaching online. Courses are conducted online, examinations are conducted online, and assignments are submitted through email. For countries like India, this is a good opportunity to strengthen internet connectivity across rural India. Every village and town in India should be digitally connected for better interaction between the students and teachers. Some of the students are quick to adapt to this system and some take a little longer time to acquaint with this system. India should establish a good infrastructure for online education. When any new education system is introduced in any country, it will take some time for the students to adapt to the system. The greatest advantage of such a system is education can become global. In India at present institutes like IITs, IISc and NITs can globalize online education while universities, initially, can nationalize online education. Fundamental structural changes should be made in the curriculum/syllabi and academic programs should be popularized to attract students across the countries. Skill development should be part of the curriculum in engineering and science degree programs. It may not be possible to deliver laboratory courses through the online course but, in this article, I have provided a possible solution to this. This will create future entrepreneurs. Thus this article discuss about the alternative way of teaching in higher education during pandemic situation.
On the 125th Birthday of Vladimir Kreiter—a Founder of the Theory of Prospecting and Exploration of Mineral Deposits

The paper is devoted to founder of the Theory of Prospecting and Exploration of Mineral Deposits V.M. Kreiter
Internet stylistics. Pragmatic aspect

This paper provides a comparative analysis of the patterns of formation and qualities of a modern linear text and an Internet text. The article is the result of the study of Internet text stylistics, based mainly on Russian-language texts from Russia and Ukraine. The paper considers the process of formation of a new type of text - the Internet text. Being essentially different from the classical linear text, the Internet text does not lend itself well to the description based on the classical text theory. Thus, the Internet text is not complete, vectorial, not united by the completeness of thought expression. An important characteristic of the Internet text is its interactivity, which means that the roles of addressee and addressee are constantly changing. In addition, it is difficult, or even impossible, to define the boundaries of the Internet text due to its hypertextuality, which has become habitual intertextuality. All the above-mentioned aspects make up the pragmatics of the Internet text as a subspecies of the media text. Another crucial problem addressed in the paper is the study of the regularities of Internet communication in general and the stylistics of the Internet text. In the course of the research it became obvious that speech aggression and violation of norms of speech culture are stylistic dominants of online communication. This influenced the formation of other stylistic dominants such as, hate speech, fake, hype, clickbait, etc. Internet style is clearly characterized by being provocative, aggressive, hostile. The problems of bullying, humiliation of human dignity, invective and obscenity are actively studied from the standpoint of linguoecology, because, according to most researchers, the constant neglect of communicative and linguistic norms leads to the degradation of the national language style and literary norms. Despite the fact that there is still a division between public and interpersonal online communication, i.e. formal and informal, the problems of speech behavior of Internet users are becoming increasingly relevant.
The effect of employees' online perceptions on the results of online learning during the covid-19 pandemic: the role of mediating variables of Course satisfaction and readiness for online learning and the moderating variable of teacher's readiness for online teaching

The effect of employees' online perceptions on the results of online learning during the covid-19 pandemic: the role of mediating variables of Course satisfaction and readiness for online learning and the moderating variable of teacher's readiness for online teaching
Mathematical modeling of basal body temperature influence on menstrual cycle, length of sleep, and stress levels as detection of fertile period (ovulation) in women

Basal body temperature is the temperature when the body reaches the resting phase or does not perform any activity. Basal body temperature is influenced by factors such as the quality of a person's length of sleep, stress, and menstrual cycle patterns. The benefit of checking and monitoring basal body temperature for a woman is to determine when a woman starts to enter the ovulation period, making it easier for couples who want a target pregnancy. The measurement method was carried out in the morning right after waking up using a thermometer flanked in the armpit area by applying three repetitions of measurements within a period of two months with the number of sample participants of 10 cadet students of military biology study program with an age range of 19-21 years. This type of research is carried out observationally and analytically using longitudinal data. The analysis used in this study was by conducting a statistical mathematical model trial by analyzing the p-value. The results showed that in the paired test there was a significant influence of the relationship of basal body temperature on the menstrual cycle at the time before menstruation and when menstruation. The researcher's suggestion is to conduct further research with larger participants of samples and the presence of sample variations in observations because not all biologists do significant research with the statistical method.
Development of M-Learning Media Illustrated Crossword Puzzles to Increase Learning Motivation for Middle School Students

this study aims to produce M-Learning learning media illustrated with crossword puzzles assisted by Google Sites to increase student motivation in class VII SMP and describe the feasibility of the media in terms of validity, practicality, and effectiveness. This research is a development research using the ADDIE model, which includes analyze, design, development, implementation, and evaluation stages. The results showed that the quality of M-Learning learning media illustrated with crossword puzzles assisted by Google sites to increase student motivation, for the validation aspect of M-Learning was categorized as valid with a validity of 75%. For the practicality questionnaire, the teacher response questionnaire obtained 91.67% of the very practical criteria and the 9 student response questionnaire was 90.40% with very practical criteria, so M-Learning was stated to be very practical. For the aspect of effectiveness, it can be seen from the results of the study tests where all students passed or met the KKM, student response questionnaires with a percentage of 90.20% were very effective criteria. And the N-Gain value of 0.76 indicates that there is an increase in learning motivation in the high category, so that M-Learning is effective for increasing student motivation.
DESAIN AREA DERMAGA APUNG SEBAGAI PENUNJANG WISATA DI BANUA ANYAR BANJARMASIN

The geographical location of the Martapura river basin in Banua Anyar Village is quite strategic, moreover, this area is one of the tourist areas in Banjarmasin which is also the target of developing a tourist area by the South Kalimantan Environmental Service in the Martapura Asri River program. However, currently, there is a lack of supervision and maintenance, resulting in many river problems and public facilities that are not functioning properly in the culinary tourism area on the Martapura River. Existing facilities are considered not yet available to solve river problems and do not meet the needs of visitors so the design of tourist river support facilities is to meet the needs of visitors. Writing aims to design a floating pier at the location of the river access center on the banks of the Martapura river in Banua Anyar Village. Through direct observation surveys and documentation at the wharf design location as the basis for the design. The approach applied is an environmentally friendly architecture (Green Architecture) with eco enzymes as a mixed medium in river waste around the wharf. Designers are focused on the functional form and structural strength of disaster response in river watersheds so that they can more easily implement designs that are following river problems in the surrounding area. The results of this writing formulate the overlapping concept of the functions of public facilities between the problems of overcoming the density of land health insurance routes and environmental pollution due to residents' waste. The planned facilities include 1) a Floating Pier as an area of ​​the main function of the river bank; 2) Providing space facilities for washing clothes as well as environmentally friendly public toilets; 3) Developing and improving the area around the site by updating other facilities.
A CNN-LSTM based approach for image captioning

In this age of information and visual data, it has become necessary in many fields to draw meaningful conclusions from these visual data and express them in a textual context. A visual data makes it more understandable and valuable with a textual explanation. It will also greatly accelerate the scanning of large amounts of data in many application areas. In basic fields such as education or medicine, visual-text pairs are of great importance to use as materials. In addition, many autonomous vehicles can be designed that enable disabled individuals to use visual and textual information together. Such studies have gained a wider application area, especially with the advancement of deep learning technology. In this study, a study was carried out on the Flickr8k dataset using Convolutional Neural Networks (CNN) and Long Short Term Memory (LSTM) technologies to title visual data. This model provides an integrated structure for understanding visual data and producing textual descriptions. The accuracy of the caption value created with the BLEU-1 metric was evaluated. In addition, other studies carried out together with this study were discussed and information was given about the performance of these methods.
Security in cloud computing: threats, mitigation strategies, and future directions

The providers of cloud services offer organization and businesses flexible, scalable IT services with reasonable costs. These advantages in building an entire infrastructure on the cloud also have increased the number of security concerns that could impact different aspects of security. This research paper aims to discuss the most common cloud security threats, like data loss and malware infection. It also explores the mitigation controls that organizations can implement to defend against the threat of these security risks like implementing intrusion detection systems. Additionally, this paper explores future directions for enhancing cloud security and the methods to defend against them. For the organizations to achieve enhancement on their cloud computing environment security, they must comprehend and understand these cloud security threats, mitigate these threats by implementing the proper efficient controls, and to always stay up-to-date with new technologies that can add value to updating the security in their environments.
MODELING OF THE SPATIAL DISTRIBUTION OF CHROME AND MANGANESE IN SOIL: SELECTION OF A TRAINING SUBSET

The selection of a method for dividing the raw data into training and test subsets in models based on artificial neural networks (ANN) is an insufficiently studied problem of continuous space-time field interpolation. In particular, selecting the best training subset for modeling the spatial distribution of elements in the topsoil is not a trivial task, since the sampling points are not equivalent. They contain a different amount of “information” in point of each specific model, therefore, when modeling, it is advisable to use most of the points containing information which is “useful” for this model. Incorrect data division may lead to inaccurate and highly variable model characteristics, high variance and bias in the generated results. The raw data included contents of chromium (Cr) and manganese (Mn) in the topsoil in residential areas of Noyabrsk (a city in Russian subarctic zone). A three-stage algorithm for extracting raw data with a division into training and test subsets has been developed for modeling the spatial distribution of heavy metals. According to the algorithm, the initial data set was randomly divided into training and test subsets. For each training subset, an ANN based on multilayer perceptron (MLP) was built and trained. MLP was used to model the spatial distribution of heavy metals in the upper soil layer, which took into account spatial heterogeneity and learning rules. The MLP structure was chosen by minimizing the root mean square error (RMSE). The networks with the lowest RMSE were selected, and the number of hits into the training subset of each point in space was calculated. By the number of hits in the training subset, all points were divided into three classes: “useful”, “ordinary” and “useless”. Taking this information into account, at the stage of the raw data division it possible to increase the accuracy of the predictive model.
Humanoid Motion Control using Auto Resonance Neural Network

It has been proven difficult to control robots with many mechanical joints due to a variety of problems, including redundant configurations, non-linear displacement, dynamic user surroundings, etc. Iterative computations have been applied to address inverse kinematic problems of industrial robots with up to six Degrees of Freedom (DoF). With one to three degrees of freedom in each of more than hundred joints used by humans for locomotion, the complexity is unfathomable. Consequently, in humanoid structures, algorithmic and heuristic approaches have failed. Numerous research fields that were earlier thought to be challenging to solve with computers have seen interest piqued by recent advancements in artificial intelligence and machine learning. One such domain is humanoid motion. This paper presents a novel kind of Artificial Neural Network named as Auto Resonance Neural Network (ARN). ARN uses the pull-relax mechanism applied by biological systems to control musculoskeletal motion. A variety of functions can be employed to build the pull-relax model, contingent on variables such as range, necessary coverage, and tunability. When employing ARN for joint control, inverse kinematics or some other kind of repetitive solution is not required. Its application is not influenced by the DoF or joint count. The network can use the learning methods like reinforcement learning or supervised or unsupervised learning.
A Study of Banded Hematite Quartzite (BHQ) in Mallasamudra Area, Gadag Schist Belt, Karnataka, India

Mineral raw material plays a very important role in the manufacturing industry as well as the country's economic growth. The iron ore, especially the Banded Iron Formations (BIFs) are unique rock formations in geological history. The Mallasamudra area, Gadag Schist Belt (GSB), is having good exposures of iron ores. Most of the outcrops of BHQ are located on the top of the hills whereas metabasalts occur on either side of the hills in the area. The BHQ were delineated during field mapping. In the Banded Hematite Quartzite (BHQ) of Mallasamudra area, SiO2 varies from 48.22% to 52.12% and Fe2O3 varies from 29.23% to 33.21% indicating that the BHQ is of low-grade.
Exploring Model-Level Transfer Learning to Improve the Recognition of Sinhala Speech

This chapter proposes a transfer-learning-based approach to implementing an ASR system for Sinhala using Mozilla's DeepSpeech. In this chapter, the focus is on identifying the most appropriate target model for Sinhala speech prediction with the support of a language model and data augmentation. The dataset used for this chapter contained 2000 unique sentences from 123 speakers. Those sentences were recorded with the support of Praat and RedStart tools. All the experiments were conducted with an external 4-gram language model for Sinhala using the KenLM toolkit. Without applying any augmentation, our transfer-learned model showed better results, achieving 22.92% in WER and 8.84% in CER. Then it showed a further improvement on prediction by achieving 17.19% in WER and 5.9% in CER using data augmentations with the probabilities of reverb at 0.1 and overlay at 0.3 with scorer optimizations.
The Effect of Sustainability Disclosure According to the GRI-G4 Standards on Firm Value

The study aimed to investigate the effect of sustainability disclosure according to the GRI-G4 standards on firm value, by following the analytical descriptive approach. The study sample included (33) Jordanian industrial companies listed on the Amman Stock Exchange during the period (2018-2021). The study used the method of content analysis for the annual reports of the sample of industrial companies for collecting data related to the disclosure items for the economic side, the environmental side, and the social side. Also, the firm value was measured by the Tobin’s Q. The study concluded that there is a statistically significant effect of the sustainability disclosure according to the GRI-G4 standards and its dimensions on the firm value. The study recommended that all industrial companies must to sustainability disclose in accordance to the GRI-G4 standards, and adopting activities and practices that contribute to increasing and maximizing the value of the company.
THE WORK OF A MATHEMATICIAN AS A PROIMAGE OF THE MASTERING OF MATHEMATICS BY STUDENTS. THE ROLE OF THE EXPERIMENT

The paper considers an approach to mathematical education adequate to the task of developing mathematics and its applications in the XXI century. This approach is based on improving the efficiency of the educational process by maintaining the motivation of students of various categories. The basis for the formation of motivation is, on the one hand, independent design, invention of mathematical objects, methods of action and models of the world around us, the discovery of facts of mathematical reality. On the other hand, it is solving of new, unexpected, feasible tasks for the student. In the described perspective, the student’s work is similar to the work of a mathematician-researcher and programmer. The possibilities of research activity in educational mathematics are significantly expanded due to computer-based intra-mathematic experiment. A special kind of mathematical experiment is debugging a computer program.