Reviewerly/exHarmony huggingface dataset:
The Actual Problems of Russian Science

The article is discussing the actual problems of Russian science in the light of the past and ongoing transformations. Drawing on the analysis of the scientific sources, the relationships between the science and media institutions as well as on my own 50 year experience as the researcher, I came to the following conclusions. First: the gap between the results of scientific research and the media is still widened. Second: a majority of Russian scientific schools continue to develop in a monodisciplinary manner while a world science slow but steady acquires an interdisciplinary character. Third: a time gap between a scientific discovery and its comprehension by the secondary and higher schools and the productive forces is remained. Four: such necessary tie between the scientific discoveries and their popularizing, so strong in the Soviet times, has practically disappeared. Five: the optimal and the most efficient mode of the mastering of new knowledges and crafts by means of the triad ‘science—teaching—practice’ has been replaced by a quick and partial re-teaching at the working place. Six: recently only separate researchers are capable to reanimate the tie ‘scientific discovering—social practice’ which our great thinkers as M. Lomonosow, V. Vernadsky, P. Kapitza and many others saw necessary. Seven: today the science and the media have different languages of communication. Therefore, a direct translation of a new knowledge into a society by means of the media is impossible. Eight: the gap between a growing interest of a global community to so-called techno-science and a diminishing attention to the biological and social consequences is growing, and the current pandemia is one of the results of it.
The IDR family

This chapter is devoted to Induced Dimension Reduction (IDR) methods. This name comes from the fact that the successive residual vectors are constructed to live in subspaces of decreasing dimensions. We describe several variants and study theirrelations to Krylov subspaces.
Sistem Pendukung Keputusan Penetapan Mustahiq Zakat Usaha Produktif

This research was conducted at the National Amil Zakat Agency (Baznas), Solok Regency, West Sumatra. The purpose of this study is to assist Baznas officials in selecting and determining someone who is entitled to receive productive business zakat so that the zakat given is right on target. The problem that occurs is the process of selection and determination of someone who is entitled to get productive business zakat not using a computer-based decision support system so that the productive business zakat given is not yet on target. The method used in this study is the Simple Additive Weighting (SAW) method. The results of this study are an application that can help Baznas Solok District officials. This application is used to select recipients of productive business zakat and determine productive business zakat recipients based on predetermined criteria so that the recipient is in accordance with the intended target.
Simulasi dan analisa kestabilan model matematika dinamika persebaran kasus perokok / Zuroidah Zeni Nurushofa

ABSTRACTNurushofa, Zuroidah Zeni. 2017. Simulation and Stability Analysis of Mathematics Dynamics Model on The Spread of Smoker Cases. Thesis, Mathematics Department, Faculty of Mathematics and Natural Science, State University of Malang. Advisor: (I) Dr. Rustanto Rahardi, M. Si.Keywords: Smoker Dynamics, Simulation, Stability Analysis, Mathematical ModelingThe continuous number of smokers increases the number of individuals suffering from cigarette diseases, thus finding a solution to this problem should be immediately done. One of them is by constructing a mathematical model of the number of smokers, so that the dynamics of the number of smokers can be observed. In this thesis, it has been discussed mathematical model of the dynamics of the spread of smokers. The population is divided into subpopulations of potential smokers (P), active smokers (S), temporary stop smokers (Q_t), and permanent stop smokers (Q_t). In the first model, the interaction occurs between potential smokers and active smokers. In addition, individuals in the sub-population stop smokers come from the smoker sub-population. Based on the analysis of the model, there are two equilibrium points, i.e. smoking free equilibrium (E_0) and smoking present equilibrium (E_1). Using the theorem, it can be concluded that the equilibrium point E_0 with E_0= (P,S,Q_t) is asymptotic stable locally. The second equilibrium point E_1 with E_1=(P^*,S^*,〖Q_t〗^*) is also asymptotic stable locally. From the model analysis, we obtain two fixed points, for smoker free point, stable when R_0 1, while fixed point endemic smoker stable moment R_0> 1. In the present-smoking simulation, tests were performed using two different R_0 values and the results showed that the greater the R_0 value the smoker and stop smoker population increased. As for the sub-potential smokers, the population will decrease. Vice versa, the smaller the value of R_0 then the potential population of smokers will increase. As for the population of smokers and population stop smoker, the population will decrease.
SPCNet:Spatial Preserve and Content-aware Network for Human Pose Estimation

Human pose estimation is a fundamental yet challenging task in computer vision. Although deep learning techniques have made great progress in this area, difficult scenarios (e.g., invisible keypoints, occlusions, complex multi-person scenarios, and abnormal poses) are still not well-handled. To alleviate these issues, we propose a novel Spatial Preserve and Content-aware Network(SPCNet), which includes two effective modules: Dilated Hourglass Module(DHM) and Selective Information Module(SIM). By using the Dilated Hourglass Module, we can preserve the spatial resolution along with large receptive field. Similar to Hourglass Network, we stack the DHMs to get the multi-stage and multi-scale information. Then, a Selective Information Module is designed to select relatively important features from different levels under a sufficient consideration of spatial content-aware mechanism and thus considerably improves the performance. Extensive experiments on MPII, LSP and FLIC human pose estimation benchmarks demonstrate the effectiveness of our network. In particular, we exceed previous methods and achieve the state-of-the-art performance on three aforementioned benchmark datasets.
IMPROVING STUDENTS’ WRITING SKILL THROUGH ROUND TABLE TECHNIQUE

In Writing for General Communication course, students are expected to be able to write using several genres of text. In reality, most of the students in second semester at IKIP Siliwangi face some problems related to writing skill. To improve the students’ writing skill, the lecturers need to find out an appropriate technique for the students. This research used Classroom Action Research (CAR). The objectives of the study are: 1) finding out whether or not Round Table can improve the students’ writing skill 2) finding out classroom situation when Round Table implemented in writing for general communication course. The finding was supported by the result of students’ writing scores. The average score of pre test was 68.31. After the implementation of Round Table Technique in every cycle, the students’ speaking score were getting better. It can be seen from the result of students’ average score 75.15 in cycle 1 and 81.5 in cycle 2. It can be concluded that Round Table Technique can improve students’ speaking skill and improve speaking classroom into a better situation. Keywords : Writing Skill, Round Table Technique, CAR
Research on diversified teaching mode of College English in the information technology era

With the research of the characteristics and relationship between autonomous learning and onlinelearning, this paper study the feasibility and necessity of cultivating students' autonomous learning ability inthe era of information technology, as well as some existing problems. Taking constructivism learning theoryand interactive teaching concept as the theoretical multiple dynamic evaluation system and network teachingresource library as the main part, this paper explains the relationship between the multi interactive teachingmode in the era of information technology and the improvement of ESP teaching effect, because languageteaching itself is a multi-factor interaction process. In the teaching process, it is impossible to control allkinds of complicated factors completely or simulate the environment of the laboratory to complete the wholeteaching process. It is also hard to elaborate the relationship between language teaching process and resultswith concrete and clear causality. The research in action research focuses on action. Teachers or educatorswork with research attitude and method, and then put forward improvement measures and research inpractice. The practice process of College English multi-dimensional interactive teaching mode is a dynamiccoordination and benign interaction process of learners, teachers, teaching tasks, teaching environment andteaching policies. The interaction between teaching factors is the core feature of College English multidimensional interactive teaching mode.
Logics with Invariantly Used Relations

This thesis deals with various aspects of the finite model theory of logics with invariantly used relations. To construct such a logic we start with an arbitrary logic L, such as first-order or monadic second-order logic and enrich it by giving it theability to speak about additional relations such as a linear order which is not actually defined on the structure in question, provided that its truth value be independent of which particular linear order we choose. We investigate how the expressive power of the resulting logics relates to that of the base logic L, and give efficient algorithms for model-checking.
Perbedaan Glasgow Coma Scale dan Rapid Emergency Medicine Score dalam Memprediksi Outcome Pasien Trauma Kepala di Instalasi Gawat Darurat

Initial assessment of patients with head trauma is an influence on the management of patients with head trauma. GCS was developed to describe the level of consciousness in patients with head trauma. Whereas REMS is a scoring system that has been used widely in various countries to predict the mortality of patients coming to the emergency room. The purpose of this study was to determine the differences in the effectiveness of REMS and GCS scoring on the outcome of head trauma patients in the Emergency Departement. This study uses an analytic observational design with a retrospective cohort approach. The sample consisted of 181 patients where the sampling was carried out using a purposive sampling technique in which the researchers selected samples according to the inclusion and exclusion criteria of the existing population. Bivariate analysis conducted in this study used the Somers'd test and the Spearman test. The Area Under Receiver Operating Characteristics (AUROC) is used to assess the ability of REMS and GCS scoring to distinguish good outcomes and bad outcomes. The results of this study indicate that REMS and GCS scoring has a p-value&lt;0,05 which means there is a significant relationship with the outcome of head trauma patients. From the results of the AUROC analysis, the AUC value was 0.753 for REMS, and the AUC was 0.769 for GCS. The ability of REMS and GCS to predict the outcome of head trauma patients shows good performance. So that both can be considered used as an early detection system or Early Warning Score System (EWSS) in head trauma patients in the Emergency Departement.
Nucleus Neural Network: A Data-driven Self-organized Architecture

In this paper, inspired from the nuclei in brain, we propose a nucleus neural network (NNN) and corresponding connecting architecture learning method. In a nucleus, the neurons are not assigned as regular layers, i.e., a neuron may connect to any neurons in the nucleus and the connections are self-organized according to data distribution. This type of architecture gets rid of layer limitation and makes full use of processing capability of each neuron. It is crucial to assign connections between all the neuron pairs. To address the time demanding of objectives in traditional architecture learning methods, we propose an efficient architecture learning model for the nucleus based on the principle that more relevant input and output neuron pair deserves higher connecting density. The new objective measures the information flow through the network architecture without involvement of weights and biases which greatly reduces the computational complexity. We find that this novel architecture is robust to irrelevant components in test data. So we reconstruct a new dataset based on the MNIST dataset where the types of digital backgrounds in training and test sets are different. The new dataset is a great challenge for learners because training data and test data are not only independent but also follow different distributions. Experiments demonstrate that NNN achieves significant improvement over architectures with regular layers on the reconstructed dataset.
Pendampingan Masyarakat Dusun Lidah Wetan dalam Pelestarian Budaya Literasi dengan Pembuatan Perpustakaan Mini dan Taman Baca di Surabaya

villages in Surabaya that has a very dense population. In this digital era, children and young people are less aware of the need to read. In the tongue, teenagers are not so concerned with learning. Bhayangkara University in Surabaya held a Community Service program which took place in the Lidah Wetan Hamlet, Lakarsantri District, Surabaya City. With the theme "Preserving Literacy Culture". The program is inseparable from the vision and mission of local village officials. With the mini library created by Community Service Team, Bhayangkara University is expected to increase the enthusiasm and interest in reading in the surrounding community. This mini library provides a variety of books ranging from children's story books, learning books to read, learning books to write, learning books to draw, school materials, to religious nuances books and other books (food recipes, fiction stories, etc.). Some programs are directed at encouraging children's potential in reading culture and fostering youthful enthusiasm in organizing. Nowadays many young people are trying to challenge Karangtaruna. Several agendas are designed to solve these problems.
BASIC ISSUES IN SPEECH PERCEPTION

Speech is the primary means by which humans communicate with each other. When we listen to someone speaking we generally focus on understanding their meaning. We are trying to interpret what does the speaker want to tell us by generating the ideas of the language she/he produces. Since the language is series of sound that has meaning, the perception of speech involves the recognition of patterns in the acoustic signal in both time and frequency. It is much easier to get the meaning of a conversation if both the speaker and the listener has same language. But, if both of them has different language it will take time to get the clear meaning of a conversation. This paper is trying to examine the basic issues in speech perception that human beings face everyday consciously or unconsciously.
Research on Intelligent Recognition of Coast Image Features in Distributed System Based on Deep Learning

Xing, Z. and Li, G., 2020. Research on intelligent recognition of coast image features in distributed system based on deep learning. In: Yang, D.F. and Wang, H. (eds.), Recent Advances in Marine Geology and Environmental Oceanography. Journal of Coastal Research, Special Issue No. 108, pp. 26–31. Coconut Creek (Florida), ISSN 0749-0208.The traditional content-based image recognition method has the disadvantages of low recognition efficiency and poor precision for coast images. Therefore, a massive image recognition method based on Hadoop is proposed in this paper, which implemented distributed computing for coast digital images. In this paper, the speeded up robust features (SURF) of images were acquired, and the SURF features of similar pictures were clustered via the k-means clustering algorithm. Finally, the image features were quantified by term frequency-inverse document frequency data mining technology, and the image was shaped according to the SURF features input by a user to achieve accurate identification of similar images. The analysis of results showed that the recognition means has superior efficiency and accuracy for identifying massive images, which greatly improved the recognition performance of the image and enhances the robustness of the system.
Real-Time Scene Text Detection Using Deblurring Technique

In this paper we present another scene text identification calculation dependent on two AI classifiers: one permits us to produce up-and-comer word areas and different sift through non text ones. To be exact, we remove associated parts (CCs) in pictures by utilizing the maximally steady outside district calculation. These separated CCs are apportioned into bunches so we can produce up-and-comer districts. Dissimilar to customary techniques depending on heuristic principles in grouping, we train an AdaBoost classifier that decides the nearness relationship and bunch CCs by utilizing their pair astute relations. At that point we standardize applicant word districts and decide if every locale contains text or not. Since the scale, slant, and shade of every applicant can be evaluated from CCs, we build up a book/non text classifier for standardized pictures. This classifier depends on multilayer perceptron's and we can control review and exactness rates with a solitary free boundary. At long last, we stretch out our way to deal with abuse multichannel data.
Brittle Deformation and Neotectonics of the Serra da Cantareira Ridge, Pico do Jaragu&amp;#225; Hill, and Perus Region &amp;#8211; Southeastern Brazil

&amp;lt;p&amp;gt;Classical geomorphological and geological researches state that the Brazilian landscapes are mostly influenced by the old tectonics (Pre Cenozoic), considering that such region is currently far away from the South America plate border, where seismic activity is higher. On the other hand, recent studies are pointing out present-day tectonic activity in the southeast Brazil thus revealing that Neotectonics, the tectonic regime acting since Neogene, has an important role on the evolution of the Brazilian landforms, including the Continental Rift of Southeastern Brazil, which comprises a set of 900 km length of ENE-WSW tectonic lines and tertiary basins. However, information about Neotectonic activity in the nearby zones of the rift are still missing, such as in the Serra da Cantareira Ridge, Pico do Jaragu&amp;amp;#225; Hill and Perus region, both of them characterized by outcrops of Pre Cambrian igneous and metamorphic rocks. In this way, the objective of this research is to study the brittle deformation of these areas in order to identify possible traces of Neotectonics. This young tectonic was explored through lineament domains, which were automatically detected by SID software and statistically analyzed through Daisy 3 software. In the field, 712 structural data were surveyed in 51 outcrops and cumulated into databases of the Daisy 3 software, in order to identify the main fault azimuthal trends, fault kinematics, and compute the paleostresses. The lineament analysis show the presence of a principal E-W lineament domain, coincident and possibly related to an old (Neoproterozoic), shear zone probably reactivated in the current tectonic regime.&amp;amp;#160; The field data indicate the predominance of NW-SE, E-W, and NE-SW strike-slip faults, compatible with the left and right-lateral kinematics of the E-W shear corridor. The computed paleostresses are similar to the Neotectonic stress regime identified in the surrounding areas by other researches: NE-SW compression and NW-SE extension (Neogene); Nearly N-S compression and E-W extension (Holocene). On the other hand, only some of the studied faults present evidence of Neotectonic activity. In fact, most of the surveyed faults are closed or mineral-filled, suggesting they are old or were not recently reactivated. The preliminary results of this work suggest the important role of inherited (Pre-Cambrian) crustal weakens crustal zone probably reactivated in Cenozoic and also in the Neotectonic stress regime. Further detailed studies and field surveys are still necessary to highlight the role of the current Neotectonic regime on the present-day Brazilian landscape as well as to better define the geographic extent and location of the E-W shear corridor.&amp;lt;/p&amp;gt;
PHENOMENOLOGICAL STUDY: THE INTEGRATION OF TECHNOLOGY AS MEDIA IN TEACHING AND LEARNING PROCESS BASED ON STUDENTS’ PERCEPTION

This research is a phenomenological study that identifying based on students’ perception and experiences about technology integration as media in the teaching-learning process. This research used descriptive qualitative, by conducting open interviews for students in teaching expertise at STBA Pontianak. Based on the results of the interview, students argued that by using learning media, learning activities become more effective and efficient and also can increase student involvement and motivation in learning. Learning media also can stimulate students' attention and thinking ability, thus helping students understand the material delivered by the teacher. There are several types of technology-based learning media that can be used in learning, including computer equipment, internet, YouTube, website, email, etc. With the use of technology as a learning media, the learning process becomes more effective and efficient and can improve the quality of learning. The utilization of technology as learning media makes it easy for teachers and students to explore learning material according to what they need. Therefore, the application should be supported with adequate facilities and tailored to the needs of students. In the selection of technology as media must be adjusted to the material to be delivered. Then choosing technology from the media needed an educator must study the theory and information that have been developed. By using technology-integrated media, it is hoped that in the class situations are not boring so learning can achieve goals and students easily understand learning material
Smart Door Unlocking Using Face Recognition and Blink Detection

Internet of Things (loT) has become one of the promising technologies used to connect, manage and control smart objects connected to the Internet. In the development of smart cities, smart homes play a key role among many IoT applications. Smart home also helps physically challenged people in their day-to-day life activities. This paper proposes a solution in providing a smart, secured and easy way of door unlocking. Various concerns involving door unlocking are key lost/forgotten and waiting for someone to open the door. Smart door provides a convenient way to overcome these issues and is a step towards making a smart home. The solution uses face recognition and eye blink detection techniques as the backbone algorithm.
Flexible formats of learning: opportunities and limitations

In most countries of the world the 2020 pandemic has caused a sharp surge in attention to remote learning formats at all levels of the educational system. But what are flexible learning formats: a universal tool of the 21st century or a temporary replacement?