Reviewerly/exHarmony huggingface dataset:
Mineralogical and geochemical characteristics of graphite-bearing rocks at Chenjere Area, south-eastern Tanzania: Implications for the nature and quality of graphite mineralization

This study focused on the mineralogical and geochemical characteristics of graphite-bearing rocks at Chenjere area by conducting surface geological mapping, geochemical and petrographical analyses with the intention of characterizing the nature of graphite occurrence in these lithological units. This paper presents results of the flake size, grade and mineralization extension of graphite in the graphitic gneiss. Field observations, petrographic investigation and comparison with other studies indicate that graphite occurrence at the Chenjere area is of sedimentary origin which fall under syngenetic type. The petrographic study revealed that nature of metamorphism of rocks in the Chenjere area is of high grade (amphibolite facies). Both field observations and petrographic studies indicate that minerals in the rock associated with graphite include quartz, feldspar (mostly K-feldspar) and biotite. Further, the mineralized zones are concordant to the rest of the lithologies of the area and biotite gneiss is forming the hangingwall and footwall. The rocks’ foliation is generally NE striking and dipping SE with the dip amount ranging from 30 to 60 degrees. The graphite mineralization at the study area occurs as medium to coarse grained crystalline, flake type graphite with long axis of up to 1000 micrometres in size. Graphite flakes are disseminated and oriented in the host rock that represents a normal metamorphic fabric. Geochemical results indicate that graphite contents in the host graphitic gneiss range from 3.03 wt.% to 16.00 wt.%. Mineralogy and texture of the graphite at Chenjere area meet the standards required for industrial applications in various advanced technologies.&#x0D; Keywords: Graphite Mineralization, Flake Graphite, Chenjere Area
Modulated Structures, Microstructures and Subsolidus Phase Relations of Labradorite Feldspars

The coupled substitution between Na+Si and Ca+Al, in the plagioclase solid solution, results in a continuous variation in the Al/Si ratio of the composition, which is the reason for the complicated ordering patterns in the intermediate plagioclase feldspars such as labradorite. Both fast-cooled and slow-cooled labradorite feldspars display the incommensurately modulated structures. The ordering pattern in the incommensurately modulated structures of e-plagioclase (characterized by the satellite diffraction peak called e-reflections) is the most complicated and intriguing. The modulated structure has a super-space group symmetry of X(αβγ)0, with a special centering condition of (½ ½ ½ 0), (0 0 ½ ½), (½ ½ 0 ½), and the q-vector has components (i.e., δh, δk, δl) along all three axes in reciprocal space. Displacive modulation, occupational modulation, and density modulation are observed in slowly cooled labradorite feldspars. No density modulation was observed in fast cooled (volcanic) labradorite feldspars. The amplitudes of the modulation waves are new parameters for quantifying the ordering state of labradorite. Iridescent labradorite feldspars display exsolution lamellae with an average periodicity ranging from ~150 nm to ~350 nm. Compositional difference between the lamellae is about 12 mole % in anorthite components. Areas or zones with red (or yellow) iridescent color (i.e., long lamellae periodicity) always contain more Ca (~1 to 3 mole %) than the areas with blue (or green) iridescent color within the same labradorite crystal. We proposed that the solvus for Bøggild intergrowth has a loop-like shape, ranging from ~An44 to ~An63. The Ca-rich side / zone has higher exsolution temperature than the Na-rich side / zone. The shapes of satellite peaks, the distances between e-reflections (modulation periods), and even the intensity of e-reflections may also be used to evaluate the ordering state or cooling rate of the plagioclase feldspar. Both modulated structure and the exsolution lamellae can be used as proxies for quantifying cooling rate of a labradorite and it’s host rock.
Computational Resource Consumption in Convolutional Neural Network Training – A Focus on Memory

Deep neural networks (DNNs) have grown in popularity in recent years thanks to the increase in computing power and the size and relevance of data sets. This has made it possible to build more complex models and include more areas of research and application. At the same time, the amount of data generated during the training process of these models puts great pressure on the capacity and bandwidth of the memory subsystem and, as a direct consequence, has become one of the biggest bottlenecks for the scalability of neural networks. Therefore, the optimizing of the workloads produced by DNNs in the memory subsystem requires a detailed understanding of access to the memory and the interactions between the processor, accelerator devices, and the system memory hierarchy. However, contrary to what would be expected, most DNN profilers work at a high level, so they only perform an analysis of the model and individual layers of the network leaving aside the complex interactions between all the hardware components involved in the training. This article shows the characterization performed using a convolutional neural network implemented in the two most popular frameworks: TensorFlow and Pytorch. Likewise, the behavior of the component interactions is discussed by varying the batch size for two sets of synthetic data and showing the results obtained by the profiler created for the study. Moreover, the results obtained when evaluating the AlexNet version on TensorFlow and its similarity in behavior when using a basic CNN are included.
Motivation For Choosing A Future Profession In Modern High School Students

The article presents the results of a research devoted to the problem of career choice and its motivations among school graduates.The study involved the students of grades 10-11 of Moscow schools.In the course of an anonymous written survey, the students were asked a number of questions: have they already chosen their future profession?If they have, what profession and why?If they haven't made their choice yet, what profession and why would they like to choose?The results of the survey show that the career choice of school students is largely individualized and is made on the basis of their personal desires, interests and inclinations.60% of graduates have already chosen their future profession, which is significantly less as compared to their peers in the socialist era.The distribution of the professions named by the school students shows that modern teenagers are focused on the spheres characterized by social interaction and interpersonal communication ("man-and-man" jobs).This meets the needs of young people and corresponds with their real inclinations, as proved by the results of the vocational guidance testing.Creative jobs, the spheres of IT technologies and education are the most popular with the school students, which reflects the specificity of the modern post-industrial economy based on the wide use of information technologies, knowledge industries and service sector, as well as the young people's need for self-improvement and self-expression.
INSTAGLISH: WHEN INSTAGRAM IS BEYOND ONLINE PHOTO-SHARING PLATFORM TO INDUCE YOUR ENGLISH

Motivated by the growth of social media throughout the globe, including in Indonesia, educational practitioners need to be creative and make use of this opportunity to boost up the learning goals, for example making use of Facebook, Twitter, Instagram, Line, and many others (social media) in educational settings. Among those social media, Instagram has increased its popularity, particularly in Indonesia, with its 22 million users. It is an online platform in which users can share their stories via uploaded photos. Recently, it is not merely used as photo story sharing but also online shopping, news updating, and video conferencing. As Instagram offers promising features, this study explored how this platform was applied to improve the students English written competence, focusing on reading and writing. This study is action research that investigates the use of Instagram as a social-and-educational medium that offers beyond new language learning experiences in the project called InstaGlish, Instagram English. The data were collected from the classroom observation during the project, students' Instagram photo posts, captions and comments, and students' reading and writing scores after project implementation. A questionnaire and direct interview to the students were also carried out to give a more thorough and deeper understanding of the students' responses toward how effective InstaGlish helps them learn and induce their English. In addition, the findings of this current study were expected to give fruitful insight on how to use social media not merely as the fun-without-meaning activity yet fun-and-meaningful new learning experiences.
Challenges of the forensic science facing new technologies.

In the era of new technologies, used in the field of criminal justice, the forensic science has passed real challenges facing those means of gathering and administering scientific evidence in criminal proceedings. Artificial intelligence and how it meets the judiciary is a well-known question for the hightech in the field. The current paper aims at analyzing and discussing the features the judicial activity in criminal matters is characterized with during the criminal proceedings. The most important elements of new technologies come to state the consequences that they produce in criminal cases investigated by means of forensic evidence including new digital technologies. In order to achieve the proposed goal of the current paper, certain main purposes have been highlighted, which consist particularly in the procedure of using methods of forensic science for the investigation of crimes, as well as elements of new means of technologies including artificial intelligence. The proposed topic is carried out through qualitative research methods conducted on approaching challenges of the forensic science facing new technologies, combined with in-depth elements of criminal proceedings.
A Research on Cyber Security And Cyber Coercion

Cyber Security accepts an active role within the space of data technology. Safeguarding the knowledge has become a vast downside within the current day. The cyber security the most issue that originates in mind is 'cyber crimes' that are combination colossally daily. completely different governments and organizations are taking various measures to stay these cyber wrongdoings. aside from completely different measures cyber security is until now a major worry to several. This paper principally emphases on cyber security and cyber coercion. the numerous trends of cyber security and also the consequence of cyber security discuss in it. The act of terrorism might build associations lose billions of bucks within the region of organizations. The paper conjointly explains the parts of cyber coercion and motivation of it. 2 case studies associated with cyber security conjointly offer during this paper. Some answer concerning cyber security and cyber coercion conjointly justify in it.
Knowing How to Plan

Various planning-based know-how logics have been studied in the recent literature.In this paper, we use such a logic to do know-how-based planning via model checking.In particular, we can handle the higher-order epistemic planning involving know-how formulas as the goal, e.g., find a plan to make sure p such that the adversary does not know how to make p false in the future.We give a PTIME algorithm for the model checking problem over finite epistemic transition systems and axiomatize the logic under the assumption of perfect recall.
Between Perennialism and Progessivism: A Reflection on a Pedagogical Choice for Effective Child Development

With the task of the philosopher of education beset with several challenges and theoretical underpinnings regarding what kind of pedagogy and curriculum suits the moral and personal development of the child, various approaches have been postulated. In the present study, we prune these theories to perennialism and progressivism. There have been divergent views as to whether or not either or both of these serve the interest of the child better. What then is Perennialism? What is Progressivism? What makes each of these theories a preferred pedagogic theory for the child? Are there any places of connection and/or discord between these theories? Are they both necessarily at logger heads? In this essay, we argue that progressivism and perennialism portray shades of truth about child teaching and development that is unique and distinct to each. As human societies and social consciousness are not univocal, it is the submission of this essay that it is the task of the educator to align any of the two education theories with the yearning of the community which is where the input of education of the child is made manifest. Main persons for philosophical investigation of perennialism for us are Robert Maynard Hutchins, Mortimer J. Adler, and Sir Richard Livingstone whereas important persons for progressivism are John Locke, Jean-Jacques Rousseau and especially John Dewey. Perennialism holds the view that teachers should teach issues that are of general importance to man and focus on them. Progressivists believe that education cannot be always the same and it is always in the process of development: it must be life itself, and learning has be linked to the interests of the child, which must be carried out by solving specific social and educational problems.
STUDENTS’ SELF-MANAGEMENT TECHNOLOGIES AS THE BASIS OF EFFECTIVE DISTANCE LEARNING

The urgency of the problem of distance education development is caused by the fact that in modern conditions the requirements for specialists are radically changing. At the same time, the central place is not the use of previously acquired knowledge, but the generation and implementation of new ideas, which dictates new requirements for training. In this regard, lifelong learning becomes increasingly necessary, acquires new forms and meanings. Today, advances in information technology and telecommunications allow the development of distance learning as a kind of continuing education that accompanies the information society, because it forms a comprehensively developed personality, able to navigate in the information environment.&#x0D; The pandemic forced universities to switch to e-Learning in a force majeure mode, which served as a powerful impetus for the accelerated arming of universities with resources that allow them to effectively practice online and blended learning. In these conditions, it became possible to implement a student-centered educational paradigm. However, this is hindered by the problem of the student's lack of self-organization and self-motivation skills, the ability to take responsibility for their own learning and development. This problem is gaining more and more theoretical and practical importance. The purpose of the work is to substantiate that courses such as self-management and time management contribute to the formation of competencies in the field of goal-setting, planning, self-organization, self-control and self-motivation, and, therefore, in the context of the implementation of student-centered pagadigma, they should serve as preliminary study for e-Learning. For this, the article provides a review of the "Time Management" content course in relation to the task of developing proactivity and the student’s ability to systematically and productively independent work.
Helping Babies Breathe (HBB) in a Pandemic: Breathing New Life into an Established Curriculum by Utilizing a Video Communication Platform

Rationale: The Helping Babies Breathe (HBB) curriculum is an established, effective method to combat neonatal mortality worldwide.However, during the COVID-19 pandemic international travel largely ceased.In 2020 there were six HBB courses taught, compared to over 100 global trips and master training courses taught in 2019.In 2020, learners at all levels began utilizing video-based platforms for meetings, lectures, and even social activities.In the present study, we analyzed whether HBB could be modified into a video-based course.Methods: Prior to the start of the course, two HBB master trainers modified the HBB curriculum into a condensed hybrid course.Participants were randomly divided into two cohorts based on learner type; an in-person learner group and a "Zoom" learner group in a separate conference room.Participants were given a pre and post-course confidence survey consisting of 10 statements answered using a 10-point Likert scale.Responses were assigned a numerical value from zero to nine, with increasing numerical value indicating increased confidence.Data were analyzed using IBM SPSS to run Wilcoxon signed rank tests to compare pre and post-test responses.After the course, each participant completed a previously validated written knowledge check and was observed by a trained instructor on two objective structured clinical examinations (OSCE).All participants passed both the knowledge check and both OSCE's.Results: Figure 1 shows the average Likert scale score for each survey question pre-course and postcourse by learner type.Figure 1: Pre and Post HBB Course Confidence Rating by Learner Type When comparing pre-and post-course survey data among the in-person learners, all questions had a statistically significant increase in confidence (p=0.005).Among Zoom learners, there was also a statistically significant increase from pre-course to post-course confidence (p=0.005).There was no statistically significant difference between the Zoom or In Person learners' confidence in skills or knowledge (p= 0.747).Conclusions: Our data shows teaching HBB through a video-based platform is an effective alternative to in-person learning.The development of this course serves as a model for global health education, with large impacts both during and after the current pandemic.This model would reduce the monetary cost of HBB training trips, and has the potential to reach delivery providers in rural or unsafe areas that were previously inaccessible.In addition, follow up studies show that long term skill acquisition declines over time.Video-communication platforms would facilitate the implementation of frequent reassessments in areas with existing HBB infrastructure.
Implementasi Iptables Firewall dan Intrusion Detection System Untuk Mencegah Serangan DDoS Pada Linux Server

Security on computer networks is currently a matter that must be considered especially for internet users because many risks must be borne if this is negligent of attention. Data theft, system destruction, and so on are threats to users, especially on the server-side. DDoS is a method of attack that is quite popular and is often used to bring down servers. This method runs by consuming resources on the server computer so that it can no longer serve requests from the user side. With this problem, security is needed to prevent the DDoS attack, one of which is using iptables that has been provided by Linux. Implementing iptables can prevent or stop external DDoS attacks aimed at the server.
Safe Information Environment As A Means Of Patriotic Education Of Future Teachers

The information environment is an integral part of the life of modern youth, having a significant impact on the consciousness of the recipient of information, as well as on the formation of the worldview and value attitudes of future teachers.This fact brings to the fore the issues of not only creating a safe information environment but also actively using its resources and mechanisms for the patriotic education of young people.The presented research work is based on methods of analysis and survey methods.The survey made it possible to reveal the idea of future teachers about a safe information environment and its importance in patriotic education, to determine their preferences in using Internet resources.The results of the study show that the information environment occupies an essential place in the life of future teachers, mainly determining their views and ideals.This fact puts forward before society the task of creating a secure information environment.Besides, the analysis of the capabilities of the information environment showed that it could become an effective means of patriotic education, based on the psychological characteristics of modern digital generation.The study showed that the complexity of this process lies in the insufficient study of the problem and the absence of effective electronic resources that could increase the level of patriotic education of the younger generation.Based on this, the authors described and proposed effective forms and methods of using the safe information environment for the patriotic education of youth based on digital technologies.
Adaptive Verifiable Training Using Pairwise Class Similarity

Verifiable training has shown success in creating neural networks that are provably robust to a given amount of noise. However, despite only enforcing a single robustness criterion, its performance scales poorly with dataset complexity. On CIFAR10, a non-robust LeNet model has a 21.63% error rate, while a model created using verifiable training and a L-infinity robustness criterion of 8/255, has an error rate of 57.10%. Upon examination, we find that when labeling visually similar classes, the model's error rate is as high as 61.65%. Thus, we attribute the loss in performance to inter-class similarity. Classes that are similar (i.e., close in the feature space) increase the difficulty of learning a robust model. While it may be desirable to train a model to be robust for a large robustness region, pairwise class similarities limit the potential gains. Furthermore, consideration must be made regarding the relative cost of mistaking one class for another. In security or safety critical tasks, similar classes are likely to belong to the same group, and thus are equally sensitive. In this work, we propose a new approach that utilizes inter-class similarity to improve the performance of verifiable training and create robust models with respect to multiple adversarial criteria. First, we cluster similar classes using agglomerate clustering and assign robustness criteria based on the degree of similarity between clusters. Next, we propose two methods to apply our approach: (1) the Inter-Group Robustness Prioritization method, which uses a custom loss term to create a single model with multiple robustness guarantees and (2) the neural decision tree method, which trains multiple sub-classifiers with different robustness guarantees and combines them in a decision tree architecture. Our experiments on Fashion-MNIST and CIFAR10 demonstrate that by prioritizing the robustness between the most dissimilar groups, we improve clean performance by up to 9.63% and 30.89% respectively. Furthermore, on CIFAR100, our approach reduces the clean error rate by 26.32%.