Reviewerly/exHarmony huggingface dataset:
Estimasi Panjang Antrian Pada Simpang Bersinyal Dengan Menggunakan Artificial Neural Network

Signalized intersections are nodes in the transportation network where vehicles in different directions meet and are critical points for congestion. Vehicle queue length is one of the performance parameters of a signalized intersection. Long queues of vehicles are at high risk of accidents involving many vehicles. Feedback signal control (actuated signal control) can be used to improve intersection performance. One of the variables that can be used as a feedback input is the length of the vehicle queue. Traffic in Indonesia is mixed traffic where various types of vehicles use the same road lanes and with low lane discipline. This causes the traffic system to become complex and to be stochastic and non-linear. Queue length modeling using a static linear algorithm is unable to capture the phenomenon of this complex traffic system. Therefore, this study aims to build a queue length model based on machine learning, that is, using an artificial neural network (ANN). This model studies traffic systems with historical data so that through the training process it can model queue lengths with a good degree of accuracy. An estimation model was built and applied to a section of the Muara Rapak signalized intersections, Balikpapan. Data on queue length for 10 days, 2 hours/day, obtained using CCTV and direct field surveys. The results of the model test show that ANN has a good level of accuracy with MAE, RMSE and MAPE of 3.8 m, 4.9 m and 6%, respectively.
Super-exponential distinguishability of correlated quantum states

Abstract In the problem of asymptotic binary i.i.d. state discrimination, the optimal asymptotics of the type I and the type II error probabilities is in general an exponential decrease to zero as a function of the number of samples; the set of achievable exponent pairs is characterized by the quantum Hoeffding bound theorem. A super-exponential decrease for both types of error probabilities is only possible in the trivial case when the two states are orthogonal and hence can be perfectly distinguished using only a single copy of the system. In this paper, we show that a qualitatively different behavior can occur when there is correlation between the samples. Namely, we use gauge-invariant and translation-invariant quasi-free states on the algebra of the canonical anti-commutation relations to exhibit pairs of states on an infinite spin chain with the properties that (a) all finite-size restrictions of the states have invertible density operators and (b) the type I and the type II error probabilities both decrease to zero at least with the speed $$e^{-nc\log n}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msup> <mml:mi>e</mml:mi> <mml:mrow> <mml:mo>-</mml:mo> <mml:mi>n</mml:mi> <mml:mi>c</mml:mi> <mml:mo>log</mml:mo> <mml:mi>n</mml:mi> </mml:mrow> </mml:msup> </mml:math> with some positive constant c , i.e., with a super-exponential speed in the sample size n . Particular examples of such states include the ground states of the XX model corresponding to different transverse magnetic fields. In fact, we prove our result in the setting of binary composite hypothesis testing, and hence, it can be applied to prove super-exponential distinguishability of the hypotheses that the transverse magnetic field is above a certain threshold vs. that it is below a strictly lower value.
Pterygium Prevention in Coastal Areas with The Use of Glasses

Pterygium is a disorder on the surface of the eye whose cause is not fully known however, advanced age and exposure to ultraviolet (UV) light are often associated with risk factors for pterygium. A coastal environment that is windy, full of sunlight, dusty, and sandy is one of the factors that can cause pterygium. Prevention of pterygium is very important because untreated pterygium can cause blindness. The purpose of this paper is to find out how to prevent pterygium by using glasses and how to choose good glasses, especially in coastal areas. Study searches were carried out on several websites, such as PubMed and Google Scholar, with keywords such as "Pterygium," "Coastal Areas," "Prevention," "Glasses," and "Sunglasses." The studies used are review articles, narrative reviews, books, and research results. The number of articles chosen by the author is as many as 15 articles. The importance of using and selecting glasses for pterygium prevention was discovered in a literature review.
The State of Trajectory Visualization in Notebook Environments

Gaining insights from trajectory datasets is a challenging task that requires suitable visual data representations.There is a considerable gap between the state-of-the-art cartographic techniques presented in the literature and currently available spatial data science toolboxes.This review paper presents the current state of geospatial visualization tools for trajectory data, focusing on the Python and Jupyter notebooks ecosystem.The shortcomings identified provide pointers for further scientific software development, as well as a reference for data scientists in choosing the best-fitting tool for a specific job.
Geological features and genesis of the Dyusembay Central (Sayakhat) ore deposit

The article considers the geological features and ore composition of the Dyusembay Central (Sayakhat) leadzinc deposit in the Karsakpai metallogenic complex in the Central Kazakhstan. Historically, the complex was considered industrially significant in terms of iron ores, rather than of lead, zinc, and copper. It is shown that the ore deposit is composed of tuffaceous, silty-sandstone, carbonaceous-terrigenous (ore-hosting), terrigenous, and volcanogenic rocks assigned to the lower subformation of the Zhilandysai Formation of the Upper Proterozoic. The subvolcanic rocks identified and outlined in the area of the ore deposit belong to vent volcanic facies and are represented by felsic automagmatic breccias. All the rock complexes developed within the deposit have undergone multiple alterations: the regional, postvolcanic, contact, and hydrothermal (near-ore) ones. Commercial ores are represented by veinlet-disseminated sulfide mineralization in carbonaceous mudstones and silty sandstones, regionally and metasomatically altered to varying degrees. The ore bodies are composed of heterogeneous mineral assemblages corresponding to various stages and phases of the ore formation. The composition and structural and textural features of the ores reflect the long and complicated history of their formation. It is concluded that this ore deposit belongs to a new formational type of veinlet-disseminated stratified lead-zinc deposits localized in black shale sequences, with a significant role of volcanic activity and regional metamorphism, and is a remobilized SEDEX-type ore deposit.
Geological structure and gold prospectivity of the Shamansky ore cluster of the Altai-Sayan folded region (Republic of Khakassia)

In this work, we consider the geological settings, mineralogical composition and age of rocks and ores, as well as regularities in the formation of gold mineralization of the Shamansky ore cluster, which is one of the most prospective ore clusters in the Altai-Sayan mineragenic province. It is shown that the cluster has a complex fold-block structure. The rocks are characterized by intense folded and discontinuous dislocations. We identified the area of the reatest deformations, where the known prospective signs of gold mineralization are concentrated. Two morphological types of gold-sulfidequartz ores have been distinguished: veins and pyritequartz-sericite-ankerite metasomatite. We characterized the composition of gold and its morphological features. Sulfur isotope data of sulfides from gold-bearing quartz veins predominantly have values of δ34S from +3.7 to+6.5 ‰ that indicate their hydrothermal-sedimentary origin. 40Ar/39Ar isotope-geochronological data on sericite from gold-bearing quartz shows the age of 359.5 ± 5.5 Ma testifying to the Late Devonian-Early Carboniferous stage of the formation of gold-sulfide-quartz veins. A comparison of geological, metallogenic, mineralogical-geochemical and isotope-geochronological data allowed us to conclude that the gold mineralization of the Shamansky cluster belongs to the orogenic type. According to the model of formation, gold mineralization occurred in three stages: ore-preparation islandarc (540-520 Ma), main ore orogenic-1 accretion-collisional (510-450 Ma), and additional ore orogenic-2 transpressional-collisional (380-345 Ma).
Mineralogy and Geochemistry of Gold Mineralization at Southern part of Ulu Sokor Gold Deposit, Kelantan, Malaysia

The Ulu Sokor gold deposit is classified as orogenic type deposit with evidence from previous studies on the structural, mineralogical, alteration, fluid inclusion, and stable isotope data. This study focuses on the mineralogy and geochemical analysis of representative ore rock samples from southern part of Ulu Sokor gold deposits. The project area is situated at the North of Kelantan state which lies on the Central Belt of Peninsular Malaysia. The main objective of this research is to determine the gold mineralization enrichment pattern relative to other trace elements based on the new data of mineralogy and geochemical analysis. Gold mineralization is primarily hosted in structurally controlled quartz vein which occurs in various degrees of ductile-brittle environment. Based on the field relationships, ore microscopy and geochemical data analysis, there are two main gold mineralization type in the southern part of Ulu Sokor gold deposit, namely (1) Gold associated and as inclusions in bismuthinite based on the mineralogy study, and (2) Refractory gold occurs as lattice bound in pyrite based on the Au/As molar ratio. In terms of mineral exploration and gold prospecting, the significant enrichment in this study area is Bi. However, some other metals can also be considered as a significant value in this area such as Pb, As, Cu and Zn. From the bulk ore chemistry, the geometric mean values of Au and Bi are 1.9 ppm Au (n=23) and 96 ppm Bi (n=22), respectively. The knowledge base for bismuth minerals in Malaysia would provide a significant targeting clue for the gold mineralization.
Correlation Of Self-Regulation And Learning Habits With Student's Thesis Writing Skills

This study aims to determine the correlation between self-regulation and study habits with thesis writing skills of students at the Kupang State Christian Institute. The study used a quantitative approach with the correlational method. The population in this study amounted to 248 people consisting of semester IX students, while the research sample amounted to 71 people who were calculated using the Slovin formula. Data was collected through distributing questionnaires and then continued with carrying out data processing using statistical techniques. Based on the results of the correlation analysis of the three variables, the coefficient price of 0.311 is obtained, it can be said that between the variables X1 and X2 with Y has a significant correlation, then from the analysis results also obtained the coefficient of determination (r-square) of 0.097 or equivalent to 9, 7%. This means that the correlation between self-regulation and study habits with thesis writing skills for students of the State Christian Institute of the State Christian Institute of Kupang is 9.7% and the remaining 90.3% is caused by other factors outside the variables of self-regulation and study habits. . From these results, the researcher can draw the conclusion that the alternative hypothesis (Ha) is accepted.
NegML: A Privacy-Preserving Machine Learning Approach Based on Negative Database

Machine learning has become an increasingly prominent subject in the age of big data. It has made significant advances in image identification, object detection, and natural language processing, among other areas. The initial aim of machine learning is to extract meaningful information from enormous amounts of data, which unavoidably raises privacy concerns. Numerous privacy-preserving machine-learning approaches have been presented so far. However, most of them suffer from significant improvements in efficiency or accuracy. A negative database (NDB) is a data representation that may safeguard data privacy by storing and exploiting the complementary form of original data. In this research, we provide NegML, a privacy-preserving machine learning approach based on NDB. Private data are first transformed to NDB before being fed into machine learning algorithms such as a Multilayer perceptron (MLP), Logistic regression (LR), Gaussian naive Bayes (GNB), Decision tree (DT), as well as Random forest (RF). NegML has the same computational complexity as the original machine learning algorithms without privacy protection. Experiment findings on heart illnesses, milk datasets, Car evaluation benchmark datasets and Blood fusion dataset show that the accuracy of NegML is equivalent to the original machine learning model in most circumstances, as well as the technique based on differential privacy.
EFL Public Speaking Class Anxiety at STKIP PGRI Banjarmasin

Public speaking was a crucial activity that involved the act of making a speech in front of audience. When the students were required to deliver their speech in front of others, they may face a more difficult situation. This frequently results in anxiety where people experience the fear of giving public speeches. This research aimed to investigate the level of EFL students’ public speaking anxiety (PSA) at STKIP PGRI Banjarmasin and how they used their individual efforts or strategy to reduce their PSA. This research was conducted with a mixed method design. There were 16 EFL students investigated using the Public Speaking Class Anxiety Scale (PSCAS) questionnaire and interview after they passed a Public Speaking course during a semester. The results of this research revealed some important findings. First, most EFL students have a high level of PSA. Next, most of them feel that they are afraid of making mistakes when they were performing public speaking in class. The third, the main factor causing them to have PSA was the feeling that they were afraid of having negative evaluations from the teachers and their classmates after performing the public speaking activity. Finally, they usually practice with friends beyond the class as one of their individual efforts to reduce their PSA. The conclusion of this research showed that the majority of EFL students’ PSA at STKIP PGRI Banjarmasin was at a high level and working with friends was the most individual effort they usually made to reduce their PSA.
Design and Realization of the Innovation and Entrepreneurship Experience System of Data Dynamic Innovation Model

At present, we are setting off a wave of innovation and entrepreneurship, and in universities, college students’ entrepreneurship is also sought after by everyone, and the work of dual innovation is promoted step by step. In order to improve the level of dual innovation of college students, help college students can better carry out entrepreneurship, save precious time of college students, and improve the management level of college students, this paper composes the entrepreneurship level of college students from three dimensions, and the preferred analysis of college students’ entrepreneurship Then we summarize its characteristics and analyze the development of college students’ entrepreneurship, and finally, based on the characteristics of college students’ entrepreneurship, we give some guidance and develop a management system according to the national policy of importance, this system is mainly a set of system to give guidance to the current college students’ dual entrepreneurship without any management experience, through the experiment, it can be seen that this system is a better solution to the current Through the experiment, it can be seen that this system can better solve the problem of insufficient management experience of college students.
STUDENT DATA MANAGEMENT BASED ON INFORMATION TECHNOLOGY IN MAN 1 PAMEKASAN

Students, Data Management, Information TechnologyStudent management can be interpreted as a management of all kinds related to students in schools starting from students registering, being accepted into school (acceptance of new students) until the students graduate from the school.With student management, students will be more focused and organized.Based on this, there are three main problems in the research, namely: First, how is the student data management system at MAN 1 Pamekasan.Second, what are the inhibiting and supporting factors of the information technology system at MAN 1 Pamekasan.Third, what are the solutions to overcome obstacles in managing student data.This study uses a qualitative approach with a descriptive type.Sources of data obtained through interviews with the type of semi-structured, non-participant observation, and documentation.Meanwhile, checking the validity of the data is carried out through extended observations and persistence of observations, and triangulation of sources and methods.The results showed that: First, information technology-based student data management at MAN 1 Pamekasan includes several things, namely taking care of permits, preparing facilities and infrastructure.Second, one of the ways to launch the system is by having a strong internet and giving directions to students.Third, one of the ways to expedite the system is to strengthen the internet and wifi and provide circulars to students so that there are no problems in managing student data.
Digitalization of higher education in the context of globalization processes

Based on the analysis of a number of publications on the topic of digitalization of education in the aspect of globalization, the article identifies the most relevant areas related to the introduction of digital technologies and digital tools into the educational process, such as the creation of a virtual (digital) educational environment; transition to online learning, learning in a blended format, etc. In all observed aspects, the influence of globalization processes on the problematic field of education, including the higher education system, is noticeable, which can be considered both from the positive side and from the point of view of social risks of transformation institute of higher education under the influence of digitalization, risks expressing situations of uncertainty in changing the configuration of relations between the subjects of the new educational reality. The subject of the study is the possible directions for the development of education at the stage of expanding digitalization in the aspect of globalization processes. The purpose of the study in this article is to study the processes of transformation of the institution of higher education in the era of digitalization. Under the influence of globalization, the role of the teacher and student is changing, and the area of digitalization in the managerial and technological fields is expanding. Digitalization expands the flexibility of education, promotes openness, increases the involvement of students in the learning process, increases the speed of innovation. However, it is necessary to calculate the possible negative consequences of this transformation. Research methods include theoretical: analysis, synthesis, comparative, generalization, bibliometric analysis, empirical: development of research tools for a questionnaire survey (quantitative method), observation.
Investigation Report and Problem Analysis on the Pass Rate of CET-4 and CET-6 of Animal Science Major in Three Colleges and Universities in Yunnan Province

College English Test Band 4 and Band 6 have been paid more and more attention, and become an important indicator to measure the quality of college English teaching and the recruitment of employers. Taking the students of three animal science majors in Yunnan Province as the research object, this paper focuses on the analysis of the current situation and existing problems of the passing rate of CET-4 and CET-6. The influence and role of basic English teaching on CET-4 and CET-6 have been discussed. In addition, how colleges and universities should devote themselves to the reform of basic English teaching, constantly improve the teaching quality, so as to effectively improve the passing rate of CET-4 and CET-6 for students of animal science majors were also put forward.
Penulisan Artikel Ilmiah Bereputasi Bagi Guru Sekolah Dasar Kota Padang

Requirements for teacher rank, especially in Group IVa to IVb, require special requirements, namely one journal published with ISSN both nationally and locally, in this case there are still many teachers who do not understand how to write an article taken from an existing PTK. The purpose of this service is to provide training to elementary school teachers in Padang City in writing reputable scientific articles. Until now there are still many Padang City elementary school teachers who have remained in group IVa and even for years now there are mandatory requirements that must be met for credit scores from the sub-element of scientific publications and/or elements of innovative work. The results obtained from this workshop are increasing teachers' understanding of writing reputable scientific papers and producing scientific papers from teachers.
Penguatan Literasi Digital Melalui Alih Tekhnologi Program Kampus Mengajar di SD Al Mufidah Surabaya

The basic literacy that must be possessed by someone to be able to compete in the 21st century is literacy, numeric literacy, scientific literacy, digital literacy, financial literacy, and cultural literacy and citizenship. This community service activity aims to develop digital literacy for teachers and students through the Teaching Campus program at Al Mufidah Elementary School Surabaya. The Teaching Campus Program is one of the implementations of the Independent Campus Policy which is beneficial for students. This community service activity at SD Al Mufidah Surabaya is carried out from March 1, 2022 to June 25, 2022. The method of activity consists of four stages each week, namely: planning weekly activities with the team, implementing weekly activity plans, analyzing weekly activities, making improvement plans and follow-up. The form of digital literacy development activities is that students help teachers and students in implementing technology, information and communication (ICT) based learning. Students assist teachers and students in optimizing the use of various digital applications, namely WhatsApp, Zoom Meeting, Google Meet, Google Drive, and Google Form. Students also assist teachers in preparing teaching materials in the form of power point media (ppt) and learning videos. Thus, the Campus Teaching program is beneficial for students to gain hands-on experience in the field about becoming professional teachers, teachers and students also gain information and skills in using various digital technologies as a provision to face global competition in the 21st century.
Template-driven Real-time Data Acquisition Technique with Big Data

The development of Big Data (BD), which is used to obtain numerous data from various domains, is brought about by technological advancement. However, managing the information and extracting knowledge from it is the most challenging and problematic. Thus, this paper proposed a template-centric new Data Acquisition (DAQ) methodology. The stock market data is gathered from several structured or unstructured data sources. After the DAQ criterion, templates are created for the gathered data. The stock market data is collected grounded on its Application Programming Interface (API) and transmitted via the transmission protocols during the DAQ process. To effectively remove redundant data, the transmitted data is pre-processed and stored efficiently in the network for further real-time analysis. Finally, the proposed technique’s performance is evaluated. As per the experimental and empirical evaluation, the proposed system surpasses the other methods.