Reviewerly/exHarmony huggingface dataset:
Review of Algorithmic Differentiation for Cloud Schemes by Baumgartner et al

The manuscript "Algorithmic Differentiation for Cloud Schemes" by Baumgartner et al., applies Algorithmic Differentiation (AD) to the cloud scheme of the IFS model.The paper is a nice introduction of the AD method and shows an example of its use for identifying parameters for which the IFS cloud scheme is sensitive to during cloud formation and evaporation.The paper is well and clearly written and the topic fits well in the scope of Geoscientific Model Development.I have only minor comments and requests for clarification.Once they have been addressed, I can recommend publishing the paper.
Structured Streaming

In this chapter, we will look at an example of how to create a streaming application. Apache Spark's structured streaming API allows you to use the DataFrame API to express your Apache Spark job. Instead of working with static datasets, you work with micro-batches of data using the scalable, fault-tolerant stream processing engine built on Apache Spark.
New Content based Image Retrieval using JEC and Lasso

In current scenario with growing technologies as well as enhancement in the digital world, it has found itself surrounded by a huge quantity of data or information.To handle such huge amount of data/images will often creates difficulties while retrieving the data or images efficiently.One feasible solution to overcome such difficulties is data retrieval technique.Image retrieval is the process of retrieving images from a large database of digital images dataset.proposed method is done by three primitive methods namely through color, shape and texture other term process data based on color ,size and texture.In this paper extract the image from database based on size texture and color.The technique by which used on proposed Wavelet transform Joint equal contribution and lasso.For proposed method is firstly take query image and extract feature by using DWT and other algorithm and then match that data with exiting database and find similarity data from the database.In this paper is analysis different author work and proposed novel method to get better retrieval rate.
Building a Neural Machine Translation System

In this project, we investigate the NMT system building methods and analyze different techniques to improve the performance of NMT systems.
Review Jurnal Penyuntingan Media pada Berita, Surat Kabar, dan Percetakan di Indonesia

Editing in the world of News, Newspapers, and books is something that is familiar to those who enjoy language education. Excellence in every article on the news, newspapers, or books will not be seen if it does not include the important role of editing in it. One will not be interested if the writing does not stand out and can attract the attention of the reader. Editing must be activated for each post to be published before reading. In contrast to news or newspapers, current books are edited with knowledge imprinted with jalas. Unlike news and newspapers that have to be edited in a dense and clear language. Editors are not solely employed without experience, but as little as possible taken from people who have a history of studying specifically the world of editing, which is as small as possible editors graduating from college with a specialty in the field of language. Because only the field of language that studies in writing languages. As in the majors of Indonesian, English, or other foreign languages.Keywords: the role of the editor, the publication of writing, the world of editing
Sistem Informasi Kegiatan Penunjang Akademik Mahasiswa Berbasis Desktop

As science and technology have grown, the role and use of information technology has become important. In creation of the book activities on the campus of the Jakarta high school administration of information and computers that have been carried out each year, there are some problems with the data of the activities being carried out and the list of students who have followed the activities that have been carried out, so the certificates and schedule of the activities are ineffective and efficient. In constructing student information-support information system at the Jakarta high school for information management and computers muhammadiyah using Visual Basic (vb.net) as the language oh this program and mysql as database. The system development uses the waterfall model with the step-by-step analysis, design system, coding and testing, implementation and maintenance. The study produced a student’a educational information system that could facilitate the activity data input processstudents can be done quickly, accurately and efficiently. The built system may show student’s overall data, which consists of a list of activities, activity activity times, and activities that have been followed.
Electron as Kerr's super-rotating black hole

The known weakness of Gravity in particle physics is a delusion caused by underestimation of the role of spin. Spin of elementary particles is extremely high and exceeds mass on 20-22 orders (in unit’s c = G = m = k = 1). The caused by spinning gravity framedragging distorts space much stronger than mass, that shifts the usual effective scale of gravitational interaction from Planck to Compton distances. We show that compatibility between gravity and quantum theory can be achieved without modifications of the Einstein equations, by using a model of super-bag a no perturbative particle like solution to supersymmetric system of the Landau-Ginzburg (Higgs) field equations. Super-bag generates a free from gravity Compton zone for quantum theory. Shape of the bag is defined unambiguously by spinning Kerr-Newman solution. For parameters of an electron (charge e, spin J, and mass m) super-bag forms a thin superconducting disk of Compton radius coupled with circular string along its perimeter. The supersymmetric LG (Higgs) model is naturally upgraded to Wess-Zumino super-QED model, forming a bridge to perturbative formalism of conventional QED.
Brothers' Candles: Creating, Maintaining, Analyzing, and Visualizing Data

Most candles declined from 2017 to 2018, which matches expectations based on the sales decline shown in visual 2a.Positively, 9 candles improved from 2018-2019.Stella Maris has been consistently improving while overall candles sales are decreasing, so there must be something consumers like about that fragrance.One possible recommendation based on this visual is to consider adding additional fragrances that are similar to Stella Maris.
Effective Mining of High Utility Itemsets with Automated Minimum Utility Thresholds

Data mining is a process in which useful information is discovered from large volumes of data using various tasks such as classification, clustering, association rules. Frequent items are the sets of items or structures which occur in a transaction. It gives the information about how frequently the specific item appears in a transaction. Though there are many mining tasks, one of the finest methods is association rule mining which finds the correlation, frequent patterns and rules from a various large amount of dataset. Association rule mining uses various scalable and efficient algorithms which predicts the rules to find the occurrence of an element in the dataset. This paper compares various association rule mining algorithms based on the data support and speed.
Pengaruh Metode Belajar dan Konsep Diri terhadap Hasil Belajar Matematika Siswa

The purpose of this study was to determine the effect of learning methods with CTL on student mathematics learning outcomes, to determine the effect of students' self-concepts on student learning outcomes in mathematics, and to determine the effect of the interaction of learning methods with CTL and self-concepts. The experimental method was used in this study, which was located at Uswatun Hasanah Middle School in 2019, with 60 students being sampled, including 30 control class students and 30 experimental class students. Data was collected by distributing questionnaires directly to the sample. Data analysis uses descriptive statistics such as finding mean, median, mode, standard deviation, and inferential statistics, which is to find coefficients. The results showed: There is an influence of learning methods with CTL on student mathematics learning outcomes, there is an effect of students 'Self Concepts on student learning outcomes in mathematics, and there is an interaction of learning methods with CTL methods and students' Self Concepts on mathematics learning outcomes.
A Multiple Logistic Regression of Factors Affecting the Demand of Modern Contraceptives in Malinau, North Kalimantan

Background: Family planning is a key to reduce unintended pregnancies.In the developing country, there is more heterogeneity in perspectives on family planning and contraception, depending on the history of a given country, its culture and religions, and where it is demographically, economically, and epidemiologically.This study aimed to determine factors affecting the demand of modern contraceptives in Malinau, North Kalimantan, Indonesia.Subjects and Method: A cross sectional study was conducted at 4 sub-districts in Malinau, North Kalimantan, Indonesia, from December 2018 to January 2019.A sample of 200 mothers was selected by fixed disease sampling.The dependent variable was demand of contraceptive.The independent variables were age, parity, residence, education, income, perception, intention, attitude, and subjective norm.The data were collected by questionnaire and analyzed by a multiple logistic regression.Results: The demand of modern contraceptives among women was affected by parity (b= 3.03; 95% CI= 1.23 to 4.83; p<0.001), intention (b= 4.84; 95% CI= 2.85 to 6.82; p<0.001), attitude (b= 3.92; 95% CI= 1.42 to 6.42; p= 0.002), and family income (b= 4.57; 95% CI= 2.66 to 6.47; p<0.001). Conclusion:The demand of modern contraceptives among women is affected by parity, intention, attitude, and family income.
Analisis Faktor Penyebab Keterlambatan Pengembalian Berkas Rekam Medis Rawat Inap di RS Universitas Airlangga

One of the hospital's obligations is to organize a medical record. Good or bad medical record-up is a description of the quality of the hospital. The minimum service standard for the patient's return of the patient's medical record is completed by obtaining medical services until the medical record file returns to the medical record room within 2x24 hours. The return of an inpatient medical record in Universitas Airlangga Hospital takes more than 2 X 24 hours, even up to 1 week is calculated since the patient returned home and the file has not been completed 100%. Such problems will result in delayed reporting, provision of old patient medical record files should still be sought in the last location of the borrower's medical record file if not found in the filing rack. There is still an unrecorded return time in the expedition book. There is a problem with the delay in the return of an inpatient medical record so that it is necessary to identify the problem that aims to correct or minimize potential problems. The identification methods used are observation and interview methods. Observations are performed on data sources collected either primary data or secondary data related to the cause of the return of the medical record file. The interview is conducted by the researcher to the officer related to the late return of the inpatient medical record file. The study uses the 5M method (Man, Machine, Method, Material, and Money) by Harrington Emerson.
Pemanfaatan Ikan Asin Dalam Pembelajaran Bahasa Indonesia Di SD/MI

The low ability of students to write sentences in Indonesia language learning is the background of this research. Salted fish learning resources are used to develop students’ writing sentence skills. Salted fish as part of local wisdom is an important given to the education. This study aims to examine the effectiveness of the use salted fish learning resources to make sentences in Indonesian language learning. The study was conducted in class III SDN Tambakreja 02 Cilacap with 25 students, consisting of 12 male and 13 female students. Data collection techniques were observation, interview and documentation. The collected data were analyzed using qualitative analysis techniques. The result of the study prove that salted fish learning resources are effective in developing students’ writing abilities. High student enthusiasm, seen from a pleasant atmosphere and student activity in the learning process. The percentage of students who score above KKM is 92% of 25 students
Improvement in Efficiency of Solar Photovoltaic Power System

The present paper relates to solar photovoltaic power system. In this paper the work is done on improving the efficiency of solar photovoltaic power system. In a Photovoltaic system the light coming from sun is directly converted into solar energy. This system as a source of energy becomes very popular nowadays due to some existing benefits like pollution free production of energy and free availability of sun light which is inexhaustible in nature. The main drawback is only output power which is still low, there is a requirement to improve the system. A technique called MPPT is used to track the maximum sun light coming at a particular point to produce maximum power. In this paper tracker works with an incremental conductance algorithm. In the paper simulations are taken to identify the maximum power point by MPPT.
A Critical Discourse Analysis of Grace Natalie Louisa’s Speech

The Critical Discourse Analysis is often applied to analyze political discourse including the political speech. This article analyzes Grace Natalie Louisa’s Speech, mainly in Festival 11 by Partai Solidaritas Indonesia (PSI), that is exclusively based on the perspective of Teun Adrianus van Dijk. It reveals that we can learn how to deliver our ideology to public. Moreover, we can have a better understanding of the political purpose of these speeches.
Detection of fall using Embedded Device and Machine Learning Implementation

The health issues caused due to the abnormal and accidental falls increasing every day, some falls are even leading to death or fatal injuries. Such falls can cause trauma both physically and psychologically. To overcome these circumstances fall detection has become an important topic for researchers and scientists to provide better and effective solution. A proper detection of fall can save a life of human being be it any age by giving immediate required treatment. Generally alerting the concerned authorities regarding the fall happens to be crucial in the fall detection systems. There are many existing systems that tend to this problem but they all are heavily equipped and have some drawbacks. In this proposed system Raspberry pi4 is used with OpenCV for using MOG2 machine learning algorithm to detect the fall by concentrating only on the person. And for alerting the fall this system uses internet based REST API called TWILIO.
In-laboratory breast specimen radiography reduces tissue block utilization and improves turnaround time of pathologic examination

Abstract Background This study was performed to determine whether in-laboratory specimen radiography reduces turnaround time or block utilization in surgical pathology. Methods Specimens processed during a 48-day trial of an in-lab cabinet radiography device (Faxitron) were compared to a control group of specimens imaged in the mammography suite during a prior one-year period, and to a second group of specimens not undergoing imaging of any type. Results Cases imaged in the mammography suite had longer turnaround time than cases not requiring imaging (by 1.15 days for core biopsies, and 1.73 days for mastectomies; p &lt; 0.0001). In contrast, cases imaged in-lab had turnaround time that was no longer than unimaged cases (p &gt; 0.05 for core biopsies, lumpectomies and mastectomies). Mastectomies imaged in-lab required submission of fewer blocks than controls not undergoing any imaging (mean reduction of 10.6 blocks). Conclusions Availability of in-lab radiography resulted in clinically meaningful improvements in turnaround time and economically meaningful reductions in block utilization.
ACRL candidates for 2019: A look at who’s running

Jon E. Cawthorne is dean of Wayne State University Library System and the School of Information Studies, a position he has held since 2017. Prior to this, Cawthorne served as dean of libraries at West Virginia University (2014–17), as associate dean of public services and assessment at Florida State University (2012–14), and as associate university librarian for Public Services at Boston College (2011–12).Anne Marie Casey is the director of Hunt Library at Embry-Riddle Aeronautical University, where she has worked since 2009. Prior to this position, Casey provided 17 years of service to Central Michigan University, where she served as associate dean of libraries (2002–09), director of off-campus library services (1999–2002), and as a distance learning librarian (1991–99).
adminstrasi dan manajemen keuangan sekolah

Financial administration, Managing finance in schools is very necessary because managing school finances will help record the entry and exit of funding spent by schools and record funding from government and school donors. So that school administration runs smoothly. School financial management needs to pay attention to a number of principles. Law No. 20 of 2003 article 48 states that the management of education funds is based on the principles of justice, efficiency, transparency, and public accountability.
INFORMATIZATION IN EDUCATION

Using the capabilities of modern information technologies contributes to the development of certain types of thinking, accelerates the development of memory, attention, observation, and forms the qualities of a leader capable of leadership and organizational activities. In addition, the role of the computer in the development of the individual's creative abilities is not surprising today.
Does It Make Sense To Hold a Hybrid Event?

Special Events GaloreVolume 21, Issue 3 p. 2-2 Event Formats Does It Make Sense To Hold a Hybrid Event? First published: 04 February 2021 https://doi.org/10.1002/speg.31535Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume21, Issue3March 2021Pages 2-2 RelatedInformation
The Sounds of Obsolescence in the Age of Digital Re-Production

This practice-based research focuses on creating a series of sound sculptures that establish a narrative between past and present through the convergence of obsolete and current media technologies. Within the transdisciplinary frame of media archaeology, new methods of inquiry into the obsolete object’s engagement and relationship with current media technologies may emerge that suggest an alternative readings of history. Using a practice-based research approach, the process of defining, producing and refining the art works will be supported by an exegesis that contextualises and interprets the knowledge embodied in these works. By discursively revealing aesthetic and artistic intentions in this way the artefact and the process of its creation become sources of embodied knowledge and artistic method. This research contributes to existing practice-based discourse by providing new insights into the process of making, interpreting and contextualising sound-based art informed by media archaeology.
Surveillance Data Capturing and Compression

In this chapter, we will introduce surveillance data capturing using finite state machine (FSM) and critically evaluate the major technology of surveillance data compression. FSMFinite State Machine (FSM) has been used in the case of transmissions between different states within a system. It is important to study FSM in intelligent surveillance because it is an approach to bridge the gap between our real world and semantic space by using events. Moreover, a surveillance system records monitoring data all day long to effectively tackle the input data of surveillance systems; technologies of data compression are indispensable which will be detailed at the second half of this chapter.
Enlightening and Predicting the Correlation Around Deep Neural Nets and Cognitive Perceptions

Recently, psychologist has experienced drastic development using statistical methods to analyze the interactions of humans. The intention of past decades of psychological studies is to model how individuals learn elements and types. The scientific validation of such studies is often based on straightforward illustrations of artificial stimuli. Recently, in activities such as recognizing items in natural pictures, strong neural networks have reached or exceeded human precision. In this paper, we present Relevance Networks (RNs) as a basic plug-and-play application with Covolutionary Neural Network (CNN) to address issues that are essentially related to reasoning. Thus our proposed network performs visual answering the questions, superhuman performance and text based answering. All of these have been accomplished by complex reasoning on diverse physical systems. Thus, by simply increasing convolutions, (Long Short Term Memory) LSTMs, and (Multi-Layer Perceptron) MLPs with RNs, we can remove the computational burden from network components that are unsuitable for handling relational reasoning, reduce the overall complexity of the network, and gain a general ability to reason about the relationships between entities and their properties.
AN EXPERIMENTAL ANALYSIS ON EFFECT OF NOISY IMAGE DATASETS ON PERFORMANCE OF DEEP LEARNING MODELS

Deep Learning is a sub field of Machine Learning which works based on neural network structures. Deep Learning has been increasing the capabilities of Artificial Intelligent systems rapidly in many emerging areas like video analytics, data analytics and autonomous systems. The availability of the labelled data is increased due to enhancements in digital technology. The generation and labelling of training data become easier as many advanced and low-cost sensors are developed. Even though various sensors are available, Noise is the one of the major concerns of the database creation. In case of limited availability of data, Noise can be used to normalize the model to avoid overfit. But in huge databases, noise decreases the inference accuracy of the trained model. So, it is very important to understand the effect of noise on model performance. This paper presents an experimental analysis on the individual and combined effect of noise present in training database and validation database. Here, Standard CIFAR-10 database with 60000 images is used as labelled data. A comparative analysis is made to observe the behavior of trained model in terms of inference accuracy against three types of injected noises such as Gaussian Noise, Salt &amp;amp; Pepper Noise and Speckle Noise at different variance levels.
ROBOMOP

Households of today are becoming smarter and more automated.Domestic robots are entering the homes and people's daily lives, but it is yet a relatively new and immature market.Several robotic vacuum cleaners are available on the market but only few ones implement complete cleaning of floors.The purpose of this project is to design and implement a Vacuum Robot which is Autonomous.The main objective of this project is to design and implement a vacuum robot prototype by using Arduino Mega, Ultrasonic Modules, DAC/ADC, DC Motors, Servo Motor and Battery protection unit to achieve the goal of this project.Vacuum Robot will have several criteria that are user-friendly.