Reviewerly/exHarmony huggingface dataset:
SISTEM PAKAR UNTUK MENENTUKAN KELUARGA BERENCANA ALAMI MENGGUNAKAN METODE FUZZY TSUKAMOTO

Family Planning (KB) according to the BKKBN is a program that has a function to help married couples in the process of delaying the birth of their first child (postponing), spacing the birth of their next child (spacing) or limiting the number of children the husband wants. wife. In general, married couples do family planning using hormonal contraception. Several studies explain that the use of hormonal contraception has side effects that can be experienced by women, such as experiencing headaches, weight gain, menstrual disorders, changes in vaginal fluids, vaginal pain, mood changes, and changes in sexual desire. The side effects given by using hormonal contraception can be a consideration for married couples in determining how to do family planning. One of the family planning programs that can be said to be safe from side effects such as those caused by the use of hormonal contraception is KBA (Natural Family Planning). This study aims to help married couples determine a safe schedule for sexual intercourse with a guide that can be seen in the system based on input from the user, so this research requires the help of an expert or expert who understands the KBA program, such as a midwife or nurse. Obstetricians. This study uses the Fuzzy Tsukamoto method by utilizing variables that affect the KBA program and determining the degree of membership, so that output will be obtained based on input from the user. Based on the tests that have been carried out, an accuracy of 100% is obtained based on 10 test data.
ADAPTATION OF INTENSIVE METHODS OF A FOREIGN LANGUAGE TEACHING TO THE CONDITIONS OF A NONLINGUISTIC UNIVERSITY

The relevance of the research. One of the most urgent problems of modern vocational education is the intensive development of professional competencies of future specialists. Formulation of the problem. The existing models of intensive foreign language teaching do not fully meet the current requirements of a non-linguistic university, and do not take into account the professional content of teaching a foreign language. The problem is to identify ways to adapt intensive methods to the requirements of educational standards of a non-linguistic university, to the professional content of education. The goal is to identify opportunities for the development of integrated professional and communicative competence using the means of a foreign language. The research methods used are analysis, generalization, observation, forecasting. The provisions on intensive teaching of a foreign language by G.A. Kitaygorodskaya make up the methodological basis. In the course of the research, the literature on the topic of the study has been analyzed, targeted observations made over the course of intensive classes, written works and creative projects of students studied. The obtained results have been verified in the process of experimental work at Maikop State Technological University. The results and key findings. As a result of the research, a model of intensive teaching of a foreign language in a non-linguistic university has been formed, it has been proved that teaching a professional foreign language in a non-linguistic university will be rational if the goals, methods and means of the intensive method are adapted to the professional content of education.
RANCANG BANGUN SISTEM PENGGAJIAN BERBASIS WEB DENGAN MODEL SEKUENSIAL LINIER

A banking company has a goal to improve the economy and people's welfare. In addition, banking companies such as PT. BPR Suadana must also improve employee performance and welfare. One way is to increase performance in the form of salary. Payroll system at PT. BPR Suadana currently looks still manual. Where in the salary input is still recorded manually. This makes time inefficient and increases the risk of errors in the payroll process. This study aims to build an information system used in the payroll system at PT. BPR Suadana. The method used in the construction of this payroll system is the Linear Sequential Model SDLC method. The results of this research are in the form of a web-based payroll system that can be accessed and used by related divisions, namely HRD, Funds Section, and also the Director. the results of the TAM test that has been carried out by the author, it can be seen that the percentage results of 88% of users or respondents stated strongly agree and 8% agreed, that the payroll system at PT. BPR Suadana that has been made by the author is easy to use and very useful in overcoming payroll problems at PT. BPR Suadana.
DAMPAK PSIKOLOGI MAHASISWA SELAMA PEMBELAJARAN DALAM JARINGAN DENGAN PENERAPAN ALGORITMA DEMPSTER SHAFER

The Covid-19 pandemic is major epidemic that is currently being experienced throughout the world. The pandemic has lowered the structure of the economy, social, culture and even the world of education. As a result, Governments around the world issue Distance Education policies so that this has an impact on the lessons learned for students or students. Especially for University Prima Indonesia students who are the scope of research carried out by researchers to determine the psychological impact of students on learning in the covid-19 pandemic network. Psychological impact in question is whether students experience mental changes, changes in way of thinking, emotional changes, social changes or less physically and mentally healthy. With symptoms, namely depression, anxiety, excessive fear, changes in sleep patterns, economic decline, hampered activity. The results of the study obtained a valid percentage level of symptoms worth 0.8%. The method used in analyzing psychological impact of students is dampster shaper. Expert system methods are often used in research because of the recognized analytical results.
PEMBANGUNAN APLIKASI INFORMASI KATERING DI KOTA PADANG BERBASIS ANDROID

The need for food is one of the main human needs. In the era of the COVID-19 pandemic, one of the businesses that has survived is the business of providing food or culinary. With the advancement of technology, various media and methods have been successfully developed to market food products. The catering business is a business that is quite popular in the culinary field. In the city of Padang there are more than 30 catering businesses but most of them still do traditional marketing. So far, the process of searching and ordering catering in the city of Padang is still using a manual system, through advertisements in mass media and electronic media as well as through word of mouth promotion systems. This study aims to build an application that provides catering information. The research was conducted using the waterfall method which resulted in an application built with the android platform so that it can be accessed by users using smartphones. This application has succeeded in providing information about a list of menu options, prices and equipped with ordering features and location search features.
A new method to extract n-Ary relation instances from scientific documents

A new method to extract knowledge structured as n-Ary relations from scientific articles is presented. We designed and assessed different approaches to reconstruct instances of n-Ary relations extracted from scientific articles in experimental domains, driven by an Ontological and Terminological Resource (OTR) and based on multi-feature representation of relations and their arguments. The proposed method starts with the identification of partial n-Ary relations in tables of scientific articles and then seeks to reconstruct them with argument instances in the article texts. Based on the so-called Scientific Publication Representation (SciPuRe) of textual arguments and Scientific Table Representation (STaRe) of n-Ary relations representation of an n-Ary relation called STaRe (Scientific Table Representation, originating from partial n-Ary relations extracted from document tables), here we propose and evaluate different approaches for the selection of textual argument instances that could complement partial n-Ary relations: structural, frequentist and word embedding models. The application domain concerns food packaging, especially composition and permeability data. Experiments were conducted on a corpus of 332 relation instances composed of 1547 arguments. Corpora of full and partial relations recognized in document tables and argument instances extracted from texts are available online. Different methods and strategies were measured with an f-score ranging from .34 to .74. These results show that n-Ary relations reconstruction approach depends on the number of selected candidate argument instances.
Detection method of springback for linear guideway straightening using digital image correlation

The guideway deformation control of the straightening process is the basic method to ensure straightening accuracy. The prediction of and compensation for springback in the straightening process of a guideway adopts mostly numerical analysis and finite element analysis methods instead of experimental methods because of the measuring difficulty of actual springback. In this paper, a method is proposed to detect bending deformation during the straightening process, which provides a reference for the relevant manufacturing processes. Digital image correlation measurement technology is adopted for the detection of bending springback, which can measure the full-field displacement distribution without contact and with high precision. The experimental results show that digital image related technology can very accurately detect the deformation of the guideway straightening stroke and bending springback deformation. This study can help to control bending deformation during the straightening process and ensure straightening accuracy, providing a reference for real-time monitoring of straightening force.
Multipair Emission Effects in Quantum Dot-based Entangled Photon Sources

Multiphoton emission limits applications of probabilistic entangled photon sources in quantum information technologies. Using quantum dots under various conditions of resonant two-photon excitation, we demonstrate that entanglement is unaffected by multipair emission.
Accelerating the Use of Classical Infrastructure to Implement Quantum Networks

For emerging quantum networks to coexist with the classical internet, they must conform to existing specifications. We examine the architectural model of the internet, especially physical layer requirements, and we propose data link layer standardization.
Microwave and optical entanglement for quantum transduction and network

We prove the advantage of entanglement-based transduction over direct transduction using information-theoretical approach. For entanglement-based transduction, the entanglement rates are compared in both discrete and continuous variable settings. Each setting favors different parameter regimes.
Improved Quantum Controlled Teleportation Via Quantum Hiding

We propose an algorithm that offers higher control and security levels over entanglement-based quantum networks. The merits, cost, and performance of the proposed algorithm are discussed.
On-demand single photon source integrated into a nanophotonic platform

We generate streams of high purity single photons from a single atom-like defect in a diamond nanophotonic cavity demonstrating an integrable system for quantum information processing.
Librarians' perspectives from Croatia, Portugal and the UK

In 2020, (digital) media education faced one of the biggest challenges amid the COVID-19 pandemic. In a global context, the pandemic has tested the abilities of both teachers and librarians to teach online, and uncover their need to gain more confidence in managing the digital environments. Even countries with outstanding connectivity and infrastructure have witnessed generic digital environment problems such as online fatigue, lack of interactivity and students’ motivation to participate in online learning. By using digital competence framework for educators and Jisc framework, we present the results of the first phase of our research on how librarians (N=487) perceive online challenges by using the case of Croatia as an example. A comparative dimension is included in this research by taking into account the counterpart experiences from Portugal and the United Kingdom. Our research findings suggest that strong support and professional development programmes are needed for the librarians, especially more sustainable support from governmental institutions and information and communications technology companies.
Mobile Platform for MOCC Music Hybrid Teaching Based on Convolutional Neural Network

With the wide application of Internet mobile devices in many industries, the hybrid teaching mode of online and offline has also become a research hotspot in the field of education. In the process of constructing the music online teaching platform based on mobile platform MOOC, the distribution of samples will affect the data recognition results of the system. Therefore, this paper uses convolutional neural network as the backbone network to extract data features and improve the resolution. At the same time, in the process of data compression, this paper realizes the global average pool and unified parameters by improving the attention mechanism, so that all parameters interact with their K adjacent parameter characteristics, so as to reduce the overdependence between channels and reduce the complexity of the overall calculation. For the analysis of complexity, this paper detects the time required for serial training and parallel training, intercepts the average value of the parameters of all nodes, and obtains the optimal number of nodes of this model. Finally, combined with the characteristics of music teaching, this paper designs a mobile MOOC music teaching platform based on convolutional neural network. The platform includes modules such as basic information management and music course resource construction and applies it to the actual music course teaching process. The performance of the algorithm and the feasibility of the system are verified by classroom activity test, hoping to provide some reference for the research in the field of music mixed education.
IMPACTS ON THE IMPLEMENTATION OF CONTINUOUS CODE DELIVERY METHODOLOGIES: A SYSTEMATIC LITERATURE REVIEW

Continuous Delivery (CD), is a software engineering discipline, aiming to make software available to be delivered to the user at any time.The objective of this work is to carry out a sample survey of articles to analyze the impacts on the implementation of CD methodologies and tools.CD is linked to the agile methodologies that are increasingly needed.This article presents as a methodology, a systematic review of the literature, in which the impacts of the implementation of the continuous code delivery methodology are analyzed, having as the work result the positive and negative aspects of the implementation by several researched authors.
HETEROGENEITY IN THE ADOPTION OF THE INTERNET OF THINGS (IOT) IN THE AGRICULTURAL FIELD

Identify agricultural activities that can benefit from the adoption of the Internet of Things (IoT).This article brings as relevance/originality the synthesis of literature published internationally in the areas of business, management, agricultural sciences, economics, and multidisciplinary on the adoption and use of the Internet of Things in different agricultural activities.A Systematic Literature Review was carried out in the Scopus and Web of Science scientific repositories using as search terms the keywords, Internet of Things, and terms directly related to agricultural.After applying the filtering and selection criteria, the final analysis sample consisted of 39 articles.The results are the journals that published the most within the topic; the nature of the research analyzed and; the most used methodological procedures.Furthermore, the fields of application, in agricultural, of the innovations developed and presented by the articles are highlighted: monitoring, control, prediction, and logistics.This article has as its theoretical contribution the synthesis and analysis of works that deal with the use of IoT in agricultural.As contributions to practice, this article sheds light on different possibilities for using the Internet of Things to improve monitoring, control, prediction and logistics of agricultural activities.
Operating ecology and financial risk analysis of the real estate industry——Empirical analysis based on SWOT-PEST analysis and the F-Probit model

In the context of "no speculation" in China, the survival environment of real estate developers is increasingly complex, and the real estate industry has been declining. Based on this, this paper uses SWOT-PEST analysis to study the business ecology of China's real estate industry, and it uses the F score model to analyze the financial risk of 9 real estate enterprises, and finally uses the Probit regression model and stability test to analyze the influencing factors of profits and total assets of the real estate industry. After studying, the conclusions are as follows: (1) China's real estate industry is still not over despite the downturn. (2) the financial risk of most real estate enterprises is increasing year by year. Although there is no bankruptcy crisis, it should not be underestimated. (3) the liquidity level and cumulative profitability of enterprise assets are important factors affecting the assets and profits of enterprises.
Analysis of Determining the Types of Wireless BTS Devices Using the Dude Implementation and Telegram Notifications on Internet Services Provider XYZ

ISP XYZ is a company engaged in the field of Internet Service Providers (ISP). Network monitoring is something that an ISP must have in monitoring network router traffic, wireless Base Transceiver Station (BTS) traffic and wireless client traffic. Connections between BTS backbone and BTS use wireless devices. Because currently the main network (backbone) inter BTS to BTS uses wireless devices, sometimes disturbances occur such as frequency interference and high data loads on BTS which lead data distribution to customers disrupted. The factors that affect this incident are the number of similar frequency number usage, the distance between BTS to BTS, the type of wireless device that can no longer carry large data loads as its main source. Telegram makes it possible to send and receive text messages over the internet. In addition, the function of telegram is usable. This research will be used to determine policies for updating wireless devices, especially on the BTS to BTS backbone. Chat, video calls, shared photos and files, telegram supports bots. This bot will later be used to mechanize notifications from the dude application to telegram messages, which of course are connected to the internet. You can provide reports on the use of data traffic, wireless device data resources that are currently implemented.
On-chip multi-photon interference with distinguishable photons and time-resolved detection

We use commercially available low jitter C-band single photon detectors to interfere photons detuned by up to 6.8 GHz. We perform HOM interference and time-resolved boson sampling with 2 and 3 heralded input photons.
Optimasi Jumlah Etil Selulosa dan Kecepatan Pengadukan dalam Preparasi Hollow Microspheres Kaptopril

Captopril is an Angiotensin-Converting Enzyme inhibitor (ACE Inhibitor) used for the treatment of hypertension. It has been reported that the duration of antihypertensive action after a single oral dose of captopril is only 6–8 h, specific absorption in the stomach, stable at acidic pH and degraded at high pH. These indicate a promising potential of the captopril hollow microspheres system as an alternative to the conventional dosage form. The preparation method used in this study is non-aqueous solvent evaporation. This study aims to determine the amount of ethyl cellulose (EC) and stirring speed to produce hollow microspheres having entrapment efficiency (EE), buoyancy and particle size maximum. Determination of the optimum hollow formula microspheres captopril uses a design factorial of two factors at two levels. The factors used in this study were the amount of EC and stirring speed, while the observed response was EE, buoyancy and particle size. The chosen optimum formula will be verified and characterized (yield, SEM, FT-IR). Formula AB was the optimum formula with EE 90.68%, buoyancy 81.52% and particle size 267.10µm. The verification obtained results in accordance with the prediction of the Design-Expert software. The characterization results obtained a yield value of 98.33%, with a spherical shape, uneven surface morphology, and hollow core. The results of FT-IR analysis showed that there was no interaction between the drug and polymer used in the formulation.
EFEKTIVITAS PENGGUNAAN METODE CLUSTERING BERBANTUAN GAMBAR FOTOGRAFI DALAM MENINGKATKAN KETERAMPILAN MENULIS PELAJAR SMK

Most of the SMK graduates have a lack of writing skills, even though writing skills are the main skills needed by professionals working in companies.In line with this, the CPA Horizons 2025 report also lists writing skills as one of the core competencies needed to become a successful worker.Almost everyone, including recruiters and company partners, agrees that SMK graduates need better writing skills, but to date most SMK students are still lacking in this area.This study aims to analyze the effectiveness of using the photographic image-assisted clustering method in improving the writing skills of SMKN 1 Kefamenanu students.This research is quasi-experimental research, where there are two classes as research subjects, namely class X Fashion Design 1 and 2 at SMKN 1 Kefamenanu.The method of determining the subject using probability sampling using cluster random sampling technique.The material taught is writing essays.The control group was not given treatment while the experimental group was given treatment in the form of implementing the clustering method with the help of photographic images.The writing skills of students in the experimental and control groups were assessed and compared.Then, independent sample t-test was used to determine the effect of the implementation of the learning method on students' writing skills.The research data was obtained through the post-test, where before being given treatment the two groups first conducted a pre-test.The findings of this study indicate that the average n-gain in the experimental group is 0.24 greater than the control group is 0.10.This revealed that students who were given learning treatment using the photography-assisted clustering method had better writing skills than students who were given learning treatment using conventional methods.
On safe sequential optimization using posterior sampling

We consider the problem of designing posterior sampling based sequential optimization policies for maximizing a blackbox function subject to safety constraints. Posterior sampling algorithms, which are easier to implement, have met with empirical success for blackbox maximization problems without safety constraints. We consider whether posterior sampling algorithms which satisfy safety constraints have good performance with respect to achieving the global maxima while minimizing the number of safety constraint violations. We propose a safe Gaussian process Thompson Sampling algorithm for safe maximization of a blackbox function. The algorithm uses a sample estimate of safe set in order to meet safety constraints and uses a mutual information based acquisition function in order to improve the estimate of the safe set. We evaluate the performance of the proposed policy with respect to prior work using simulations. We observe that the proposed policy achieves similar behaviour compared to prior work for safety violations while achieving the global maximum.