Reviewerly/exHarmony huggingface dataset:
Digital Infrastructure Management-Challenges and Opportunities in Post Covid Era

Digital Infrastructure Management-Challenges and Opportunities in Post Covid Era are analyzed in this paper. The 2020 pandemic has been the most serious issue in medical as well as humanity’s history. It has impacted various lives in one way or another. There are multitudes of death cases globally, and the census is pacing at its fastest rate as possible. This lockdown has stressed the medical field and infrastructure and paved its way in the digitalization sector. While observing the lockdown, the world’s economy has faced a steep fall due to sudden and unexpected hampering to the daily work. This opened the door to digitalization. The Digital field has seen a great hike where all the work is shifted from offices to home. It has opened various opportunities but also faces major challenges which expect to furnish after the pandemic crisis. This paper deals with the aspects of digital infrastructure in the post-Covid-19 era.
A method for semantic-based image retrieval using hierarchical clustering tree and graph

Semantic extraction for images is an urgent problem and is applied in many different semantic retrieval systems. In this paper, a semantic-based image retrieval (SBIR) system is proposed based on the combination of growth partitioning tree (GP-Tree), which was built in the authors’ previous work, with a self-organizing map (SOM) network and neighbor graph (called SgGP-Tree) to improve accuracy. For each query image, a similar set of images is retrieved on the SgGP-Tree, and a set of visual words is extracted relying on the classes obtained from mask region-based convolutional neural networks (R-CNN), as the basis for querying semantic of input images on ontology by simple protocol and resource description framework query language (SPARQL) query. The experiment was performed on image datasets, such as ImageCLEF and MS-COCO, with precision values of 0.898453 and 0.875467, respectively. These results are compared with related works on the same image dataset, showing the effectiveness of the methods proposed.
STRATEGI PEMBELAJARAN BAHASA INGGRIS MELALUI COLLABORATIVE WRITING DAN SYNCHRONOUS CORRECTIVE FEEDBACK BAGI GURU SMA/SMK DI SURABAYA

The strategy of collaborative writing as a means of increasing the success of learning English has been widely studied. Most of the research on the two strategies aforementioned emphasized more on the perspective of students and teachers using conventional methods. However, research on how to use collaborative writing strategies and feedback using Google Docs is least investigated. Therefore, this article aims to describe the process of implementing English language learning through collaborative writing training for Senior High School teachers in Surabaya by using Google Docs application. This training was conducted by English Department of the University of Adi Buana Surabaya in collaboration with MGMP (Musyawarah Guru Mata Pelajaran) Bahasa Inggris or English Teacher Working Group as a part of community service. It is held online and was attended by 65 participants for three days. The data were obtained from the survey, language teachers’ reflections, as well as interview and analysed using content analysis. The results of the data analysis show that in addition to increasing teacher knowledge about the two learning strategies – collaborative writing and corrective feedback, the teachers also get hands-on experience applying these learning strategies with the help of technology applications on Google. Moreover, the collaborative writing and corrective feedback learning strategy through Google Docs provides new nuances in learning English and help motivates teachers to write in groups which in turn can increase interest in publication as part of increasing teacher professionalism.
Detection and Analysis of Human Cells Based on Artificial Neural Network

The detection and classification of histopathological cell images is a hot topic in current research. Medical images are an important research direction and are widely used in computer-aided diagnosis, biological research, and other fields. A neural network model based on deep learning is also common in medical image analysis and automatic detection and classification of tissue and cell images. Current medical cell detection methods generally do not consider that the yield is affected by other factors in the topological region, which leads to inevitable errors in the accuracy and generalization of the algorithm; at the same time, the current medical cell imaging methods are too simple to predict the classification markers, which affect the accuracy of cell image classification. This study introduces the concepts of two kinds of neural networks and then constructs a cell recognition model based on the convolution neural network principle and staining principle. In the experimental part, we developed three groups of experiments using the same equation as the experiment and tested the best cell recognition model proposed in this study.
Study on Hopf Branch of Stability of Time-Delay Unified System and Performance Evaluation Based on Deep Learning

Deep learning is a breakthrough in machine learning research. It aims to establish a deep network structure that can simulate the human brain for analysis and learning, interpret data through the mechanism of layer-by-layer abstract feature representation, and has excellent feature learning capabilities. According to the input-output performance evaluation data of colleges and universities, three experiments are done. First, the feature expression ability of RBM, the basic building block of deep learning, is studied, and compared with PCA, the results show that RBM-fine-tuning has better performance than PCA-expressed classifier; the reconstruction error can be used to judge the hidden layer. As the number of RBM layers increases, the classification accuracy gradually increases, indicating the feasibility of the RBMs feature extractor. Second, the model in this study has a higher prediction accuracy than other classification models and clarifies the effectiveness of the modular deep learning model based on RBMs from the perspectives of network convergence analysis and network output analysis. The ability is stronger than DBN, and the obtained abstract feature representation is more conducive to classification. Although the classification accuracy rate of the model in this study has been improved, the model has certain limitations. The network initialization is still set based on experiments and experience, and the prediction accuracy rate is only 88.3%, which needs to be improved. The parameter training algorithm of RBMs can be further studied. To improve the more accurate reference basis for the performance evaluation of colleges and universities. Third, in the research of dynamical systems, the stability of the time-delay unified system at zero equilibrium and positive equilibrium is studied, and the conditions for generating the Hopf branch are given. At the same time, some conclusions are obtained through theoretical analysis. Numerical simulations further verify the validity of the theoretical results.
Least Absolute Shrinkage and Selection Operator (LASSO) untuk Mengatasi Multikolinearitas pada Model Regresi Linear Berganda

Abstract. Linear regression analysis is one of them used to see the intersection between non-free variables and free variables. If there is more than one free variable, multiple linear regression analysis is used. Regression models are said to be good if the assumptions are met. One of them is the absence of multicollinearity, namely a high correlation or relationship between independent variables. In the event of multicholinearity, it can be resolved using the Least Absolute Shrinkage And Selection Operator (LASSO) regression method. The LASSO regression method was first introduced by Robert Tibshirani in 1996. This method can select variables and overcome multicholinearity. To make it easier to computate LASSO, you can use the Least Angle Regression (LARS) algorithm. In this study, we will discuss the application of the LASSO regression method to data on the number of poor people in Indonesia in 2020. By looking at the correlation coefficient and VIF values, there are 3 variables that indicate multicollinearity problems. The gross regional domestic product variable is the variable that is first entered in the model, meaning that the variable is most correlated with error.&#x0D; Abstrak. Analisis regresi linear salah satunya digunakan untuk melihat perngaruh antara variabel tak bebas dengan variabel bebas. Apabila variabel bebas lebih dari satu maka digunakan analisis regresi linear berganda. Model regresi dikatakan baik apabila asumsinya terpenuhi. Salah satunya adalah tidak adanya multikolinearitas yaitu korelasi atau hubungan yang tinggi diantara variabel bebas. Apabila terjadi multikolinearitas, dapat diatasi dengan menggunakan metode regresi Least Absolute Shrinkage And Selection Operator (LASSO). Metode regresi LASSO diperkenalkan pertama kali oleh Robert Tibshirani pada tahun 1996. Metode ini dapat menyeleksi variabel dan mengatasi multikolinearitas. Untuk mempermudah komputasi LASSO, dapat menggunakan algoritma Least Angle Regression (LARS). Dalam penelitian ini, akan dibahas penerapan metode regresi LASSO pada data jumlah penduduk miskin di Indonesia tahun 2020. Dengan melihat nilai koefisien korelasi dan nilai VIF, terdapat 3 variabel yang terindikasi masalah multikolinearitas. Variabel produk domestik regional bruto adalah variabel yang pertama kali masuk pada model artinya variabel tersebut paling berkorelasi dengan galat.
Automatic Description Method for Sports Videos Based on Economic Management Effectiveness Visualization Techniques

The automatic description (AD) of sports videos is a fundamental task for archiving the content of broadcasters, as well as understanding video scenes, and economic management effectiveness visualization techniques are key to the classification of sports videos. In this paper, a freestyle gymnastics video is used as an example to study the automatic video description by observing the set of movements of an athlete in a freestyle gymnastics video to generate the terminology of the movements performed by that athlete. The technique used in this paper to visualize the effectiveness of economic management is the long and short-term memory (LSTM) network model, which is used to learn the mapping relationship between word sequences and video frame sequences. Attention mechanisms (AM) are also introduced to highlight the importance of keyframes that determine freestyle gymnastics movements. The study is carried out by building a dataset of free gymnastics (FG) breakdown movements from professional events and applying a planned sampling method. Experimental results show that the method can improve the accuracy of an automatic free gymnastics video (FGV) description. The proposed method has a wide range of applications in sports analysis and instruction.
Palynology of the North Karanpura basin, Bihar, India 4. Subsurface Palynology of the bore-hole no. K.5

The present paper deals with subsurface Palynology of Barakar Stage and Barren Measures present in the bore-hole no. K.5, located in the Baral-Raniganj-Kevendai area, North Karanpura basin (Sheet no. 73E/1), Bihar, India. 34 dispersed spore pollen genera and 39 species have been recovered from Barakar Stage while Barren Measures have yielded 51 genera and 67 species. The palynological assemblage of both Stages comprises trilete, monolete, monosaccate, bisaccate, polysaccate, polyplicate and colpate spores-pollen. The palynological assemblage of Barren Measures have been subdivided into three palynological zones on the basis of percentage of spores-pollen in the material.
Mutually unbiased maximally entangled bases from difference matrices

Abstract Based on maximally entangled states, we explore the constructions of mutually unbiased bases in bipartite quantum systems. We present a new way to construct mutually unbiased bases by difference matrices in the theory of combinatorial designs. In particular, we establish q mutually unbiased bases with q − 1 maximally entangled bases and one product basis in <?CDATA ${\mathbb{C}}^{q}\otimes {\mathbb{C}}^{q}$?> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:msup> <mml:mrow> <mml:mi mathvariant="double-struck">C</mml:mi> </mml:mrow> <mml:mrow> <mml:mi>q</mml:mi> </mml:mrow> </mml:msup> <mml:mo>⊗</mml:mo> <mml:msup> <mml:mrow> <mml:mi mathvariant="double-struck">C</mml:mi> </mml:mrow> <mml:mrow> <mml:mi>q</mml:mi> </mml:mrow> </mml:msup> </mml:math> for arbitrary prime power q . In addition, we construct maximally entangled bases for dimension of composite numbers of non-prime power, such as five maximally entangled bases in <?CDATA ${\mathbb{C}}^{12}\otimes {\mathbb{C}}^{12}$?> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:msup> <mml:mrow> <mml:mi mathvariant="double-struck">C</mml:mi> </mml:mrow> <mml:mrow> <mml:mn>12</mml:mn> </mml:mrow> </mml:msup> <mml:mo>⊗</mml:mo> <mml:msup> <mml:mrow> <mml:mi mathvariant="double-struck">C</mml:mi> </mml:mrow> <mml:mrow> <mml:mn>12</mml:mn> </mml:mrow> </mml:msup> </mml:math> and <?CDATA ${\mathbb{C}}^{21}\otimes {\mathbb{C}}^{21}$?> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:msup> <mml:mrow> <mml:mi mathvariant="double-struck">C</mml:mi> </mml:mrow> <mml:mrow> <mml:mn>21</mml:mn> </mml:mrow> </mml:msup> <mml:mo>⊗</mml:mo> <mml:msup> <mml:mrow> <mml:mi mathvariant="double-struck">C</mml:mi> </mml:mrow> <mml:mrow> <mml:mn>21</mml:mn> </mml:mrow> </mml:msup> </mml:math> , which improve the known lower bounds for d = 3 m , with (3, m ) = 1 in <?CDATA ${\mathbb{C}}^{d}\otimes {\mathbb{C}}^{d}$?> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:msup> <mml:mrow> <mml:mi mathvariant="double-struck">C</mml:mi> </mml:mrow> <mml:mrow> <mml:mi>d</mml:mi> </mml:mrow> </mml:msup> <mml:mo>⊗</mml:mo> <mml:msup> <mml:mrow> <mml:mi mathvariant="double-struck">C</mml:mi> </mml:mrow> <mml:mrow> <mml:mi>d</mml:mi> </mml:mrow> </mml:msup> </mml:math> . Furthermore, we construct p + 1 mutually unbiased bases with p maximally entangled bases and one product basis in <?CDATA ${\mathbb{C}}^{p}\otimes {\mathbb{C}}^{{p}^{2}}$?> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:msup> <mml:mrow> <mml:mi mathvariant="double-struck">C</mml:mi> </mml:mrow> <mml:mrow> <mml:mi>p</mml:mi> </mml:mrow> </mml:msup> <mml:mo>⊗</mml:mo> <mml:msup> <mml:mrow> <mml:mi mathvariant="double-struck">C</mml:mi> </mml:mrow> <mml:mrow> <mml:msup> <mml:mrow> <mml:mi>p</mml:mi> </mml:mrow> <mml:mrow> <mml:mn>2</mml:mn> </mml:mrow> </mml:msup> </mml:mrow> </mml:msup> </mml:math> for arbitrary prime number p .
ARTIFICIAL GRAVITY AND ITS IMPLICATIONS

Artificial gravity has been one of the interesting topics in modern physics. Let’s take the step deeper and look at some of the physics, both known and experimental, that physicists are analyzing this very moment to improve future space technology. In this article let us discuss how the artificial gravity differs from normal gravity, different ways to create artificial gravity and its implications.
Process of creating an Electronic Identity Card (Implementation of Population Administration service’s at the East Sumba Population Office of Malang State)

The purpose of this study is to explain and assess the creation of an Electronic Identity Card (e-IC), which was implemented at the East Sumba Population Office in accordance with the provisions of Constitution Number 24 of 2013, which replaced Constitution Number 23 of 2006. The research approach employed is qualitative, outlining the implementation of the creating IC policy in explicit, methodical detail. The Head of the Office of E-IC Making, the Secretary of the Service, and Employees served as the information source, and the data used in this study were both primary and secondary data with research subjects consisting of the Head of the Office of E- IC Making, the secretary of the service, and employees at the East Sumba Population Office, which are directly related to the developing of electronic identity cards. Then the data that can be analyzed and interpreted through the picture is obtained. The results showed that the speed of making electronic identity cards at the East Sumba Population Office was quite good, the speed of making e- IC, in terms of communication, resources, disposition, and bureaucratic structure. In terms of communication, it is pretty good. The employees have socialized with the community about the importance of making e- ICs. In terms of resources, it is still not good because the existing staff is still lacking, so it can be slow to make e- ICs. In terms of disposition, it is pretty good; employees have carried out their duties with a good attitude in carrying out their responsibilities. In terms of the bureaucratic structure, it is pretty good; they already have their respective fields in manufacturing electronic identity cards.
Multityped Abstract Categorial Grammars and Their Composition

This article introduces multityped abstract categorial grammars and show that a suitable composition operation can be defined.
The Neogene of Bragantina Platform and the Eastern Part of the Marajó Basin, Northern Brazil: Paleoenvironment, Provenance, and Relationship with the Evolution of the Proto-Amazonas

Suppressing the Carbonate platform in the Brazilian Equatorial Margin is associated with installing a siliciclastic system, the proto-Amazonas, during the lower Miocene. Nonetheless, recent research indicates that are two independent events. This question motivated this work developed northeast of the State of Pará in deposits associated with the Barreiras Formation. We are using facies analysis and aspects of provenance such as paleocurrent measurements, clast morphology, heavy minerals, and cathodoluminescence. We found a strong influence of metamorphic source rocks with minor volcanic and plutonic contributions from southeastern and southern Pará state on the sedimentation of the Barreiras Formation. Furthermore, it was possible to distinguish two drainage systems due to paleocurrent directions, one present in the Bragantina Platform (SW-NE) with the predominance of staurolite, metamorphic quartz, and angular clasts; and another in the Marajó Basin (S-N) with the increase in the amount of zircon, kyanite, tourmaline, plutonic quartz, and rounded clasts. The probable source rocks are associated to Gurupi Belt, São Luís Craton, Amazon Craton, Araguaia Belt, and sedimentary rocks from the Grajaú Basin and Cametá Sub-Basin. In general, the influence of the Andean Amazon River was low or null, being the main factor for the suppression of the carbonate platform and factors of progradation of sediments from tectonic compartments close to the study region.
Forecasting Inflation In Indonesia Using The Modified Fuzzy Time Series Cheng

Inflation is one of the most important indicators to analyze a country’s economy. Therefore, it is necessary to forecast the inflation rate. Forecasting can be done by various methods, one of which is Fuzzy Time Series Cheng. In this study, several modifications were made to the method used. The purpose of this study is to forecast using the Modified Fuzzy Time Series (FTS) Cheng method and determine the accuracy of the forecasting results obtained. The results of this study indicate that the Modified FTS Cheng method can be used in forecasting, either by determining the interval average-based or using the Sturges equation. Based on the results of the calculation of forecasting accuracy using Mean Absolute Percentage Error (MAPE), the accuracy for Modified FTS Cheng by determining the average-based interval for forecasting based on the current state and next state is 11.58% and 5.78%, respectively. Furthermore, the Modified FTS Cheng by determining the interval using the Sturges equation resulted in a MAPE value of 9.61% and a FTS Cheng of 7.54%. The MAPE value of each method is less than 10%, which means that the method has a very good performance, except for Modified FTS Cheng by determining the average-based interval for forecasting based on current state has good performance with MAPE values ​​between 10 % and 20%.
Introduction to SAP HANA Cloud

Before we start our journey, we should take a step back and look at what motivated the development of the SAP HANA Cloud service.
INFORMATION SEEKING AND VERIFICATION OF WEB INFORMATION: A COMPARATIVE STUDY

This study explores information search and verification of students and employees in Thailand and the impacts of demographics.A survey of 453 participants was collected.Online searchers focus on accessible, economical, timely, simple, reliable, and flexible of information.They have different information seeking, information evaluation, and search performance.This work guides universities and companies to effectively support their people in information seeking and verification for studying/ working tasks.The findings reflect the gaps between knowledge, experience, intention, and the information behavior of various user groups.
PENDAMPINGAN PENGGUNAAN REFERENCE MANAGER MENDELEY DENGAN GAYA “APA MANUAL 7TH EDITION” DALAM MENYUSUN KARYA ILMIAH

Students as prospective teachers are said to be professional educators if they have pedagogical competence, personality competence, social competence, and professional competence. In this training activity, the focus of the activity is on the professional competence of students as prospective teachers, namely the ability to master scientific writing with the help of software. Writing scientific papers that must be done is to include a bibliography. The number of references needed by students in writing scientific papers, therefore, some of them will find it difficult to make a bibliography manually. Therefore, the Mendeley application is needed to make it easier to compile a bibliography automatically. However, there are still many students who do not understand its use and do not even know the Mendeley application. This training is held offline in the classroom, with the target participants being students of IKIP PGRI Jember, especially S1 Early Childhood Education Programs (ECEG) final semester. The method used in this service activity is Participatory Action Research (PAR). The use of this method is expected to improve students' understanding and skills in compiling scientific papers related to citation arrangements, and bibliography. The subject of service according to the title is S1 Early Childhood Education Programs (ECEG) final semester. The object of training is the Mendeley Application with the "APA Manual 7th Edition" style which has been implemented at IKIP PGRI Jember.
Teacher leadership qualities in the modern education

Very important part of the modern education management in China is the problem of creating proper conditions for good personal socialization and the development of personality of students to meet modern social requirements.The People's Republic of China, which has ended the industrial revolution relatively not so long ago, is currently one of the centers of information and technological progress.The intensive growth in average life level around the country has leaded to acute increase of general education level and has created a need for more specialized and high educated professionals.The percent of the population, who enroll to universities for higher education in China grows sufficiently.In 2012 it was only 30 percent, when in 2021 it made a historic jump up of 27,8 percent reaching 57,8 percent [1] .At the same time, universities need qualified teachers, who can achieve success and motivate students on not only study the program, but also self-enhance, be a living example, a leader.Modern teacher needs to both give the students the knowledge and social capital.To do that, a teacher should have certain professional qualities of the personality which determines him as a leader.