Reviewerly/exHarmony huggingface dataset:
Detection of Fake Product Review using Machine Learning Techniques

Abstract: Online reviews play a crucial role in determining whether a product will be sold on e-commerce websites or applications. Because so many people rely on online reviews, unethical actors may create reviews in order to artificially boost or devalue goods and services. This study presents a semi-supervised machine learning strategy to identify fake product reviews. In addition, this work extracts several reviewer behaviours using feature engineering techniques. In this work, we investigate the findings of several experiments on a genuine food review dataset of restaurant evaluations with features gathered from user behaviour. The results show that Random Forest, with the best f-score of 98%, outperforms another classifier in terms of off-score. The data also shows that accounting for the reviewers' behavioural traits boosts the f-score, and the final accuracy came out at 97.7%. The behaviour of different types of reviewers has not been taken into account in the existing methodology. The effectiveness of the proposed fake review detecting algorithm will be further enhanced by the addition of other low-level data, such as frequent time or date dependency, the timing of the reviewer's delivery of a review, and how typical it is to supply favourable or unfavourable reviews.
Students Need Analysis on Speaking Materials: A Survey Study at SMA N 1 Bantul

Speaking ability is very important for everyone to have good communication, especially in international communication since English is the international language. This research is about the studentâ€™s needs in speaking materials. There are 30 students became the respondent to this research. The data were collected through a questionnaire consisting of 29 items and interviews. Based on the studentsâ€™ questionnaire and interview, we can find that most students agreed that grammar (63,3%) is the most difficult thing in learning English speaking and fluency (13,3%). Also, some students in the interview cannot easily identify the exposition text because it is difficult to conclude. 6 students participated in the interview using a voice note to record their answers about the need for speaking materials. Most students agreed that they wanted to do a conversation, making a discussion, and games to make the situation friendly and fun in English-speaking learning.
Editorial Preface on the Proceedings of the 2nd International Conference on Multifunctional Materials (ICMM-2022)

These days, the protection of the environment is a challenge for the entire universe. To protect the environment, various tools and technologies are employed. Knowledge is applied through technology to fulfill practical needs. Countries and organizations worldwide have been concentrating on adopting various technical solutions to confront the challenges posed by global warming and ecological imbalance in recent years. Blockchain technology is one weapon that could be very useful in dealing with the global crisis. Public and private organizations have worked together to establish smart cities, which offer effective governance and improved services to reality. Thus, the development of green smart cities can confront several issues that can be resolved via blockchain. The main goal of the green smart city is to enhance various industries and businesses with the aid of advanced technologies for efficient performance, overall cost minimization, and mitigating resource deterioration.
Cryogenic CMOS: design considerations for future quantum computing systems

Today’s quantum computing systems rely on commercial electronics operating at room temperature in order to perform control and readout operations for qubits [1] –[6]. The qubits operate at cryogenic temperatures; the signals that support control and readout of qubits therefore traverse multiple temperature stages in a dilution refrigerator to enable interaction with the qubits of a quantum computer. For many of the most advanced quantum computers built to date, the control of each individual qubit demands application of a radiofrequency pulse that is precisely calibrated in frequency, amplitude, and phase. Oubit readout demands the amplification of very low amplitude signals that are then post-processed to categorize the state of the qubit being measured. Oubit control electronics are implemented using arbitrary waveform generators (AWGs) of various types. The scalability of such systems is challenged by the need to scale the number of qubit control electronics units linearly with the number of qubits in the system. One approach to mitigating this challenge that is under active exploration is the use of multi-channel AWGs (tailored to the requirements of qubit control) that operate at the 4K stage of a quantum computing system [7] –[10]. Oubit readout electronics are typically implemented using multiple stages of amplification and then DSP-based readout performed at room temperature. In today’s systems, while readout electronics benefits from multiplexing of the readout signals (enabling a single cascade of moderately wideband amplifiers to support the delivery of multiple readout signals to the room-temperature electronics), again, the scalability of this approach is challenged much as is the case with control electronics. One approach to mitigating the readout challenge is the expanded use of cryogenic electronics in the readout chain. Success in the implementation of cryogenic control and readout solutions depends critically on multiple CMOS sub-components; in this paper we focus on SRAM and low noise amplifiers (LNAs). Note that SRAM is critical for both control and readout applications as a mixed-signal solution involving the combination of a custom processor and analog elements is highly desirable in both cases. Further, while the LNA is directly used as an element in the readout chain, a deep assessment of LNA performance and opportunities strongly benefits overall understanding of achievable noise performance in CMOS technologies at cryogenic temperatures and is therefore impoitant in both control and readout contexts.
Predictors of Children’s Literacy: A Meta-Analysis Study Alphabet of Knowledge

Alphabetic skills were one of the early literacy skills. Several studies on alphabetic skills have been conducted in Indonesia. Meta-analysis was used to describe the children's alphabet skills aged 3 to 6 years as an aggregate. The maximum likelihood estimation method and random effect design were performed to aggregate children's alphabetic skills that can be generalized in Indonesia. The articles were obtained from research published between 2014 and 2021. Those were accessed and collected through a collection of bachelor's thesis on Google Scholar and university digital libraries. The meta-analysis was carried out with JASP. The results showed that the ability to recognize letters among children aged 3 to 6 years in Indonesia was 50.16 (scale 0-100). Despite the fact that mastering letters has an impact on children’s growth in early literacy, the study’s findings show that youngsters in Indonesia still have a low level of letter recognition. These results encourage to improve the quality of kindergartens literacy instruction in Indonesia
Weapon Detection Using Deep Learning

Gun violence has become a first-rate motive ultra-modern misery in the present society.the dearth state -ofthe-art right mechanisms to stumble on and become aware of guns in advance outcomes within the increase modern -day the impact caused by gun-related violence.This idea paper offers a look at for concealed weapon detection in IR photographs using picture Processing and open CV and CNN.The proposed device will perform the fusion today's IR photos with corresponding RGB pics accompanied by open cv detection models.Protection and safety is a massive situation for today's modern-day world.For a rustic to be economically robust, it ought to make certain a safe and comfy surroundings for investors and travellers .Having stated that, Closed Circuit television (CCTV) cameras are getting used for surveillance and to display sports i.e. robberies however those cameras still require human supervision and intervention.
Semi-Analytic Approach to Solving Rosenau-Hyman and Korteweg-De Vries Equations Using Integral Transform

In this research, we proposed the fusing of Elzaki transform and projected differential transform (PDTM) to obtain an analytical or approximate solution of the Rosenau-Hyman and Korteweg-de Vries equations which respectively govern pattern formation in liquid drops and model of waves on shallow water surfaces. The results obtained presented in tables and graphs showed better efficiency, accuracy, and convergence of the method to handle Rosenau-Hyman and Korteweg-de Vries equations when compared to other methods in the literature.&#x0D; Keywords: Rosenau-Hyman Equation; Korteweg-de Vries equation; Elzaki Projected differential transform method; Semi-analytic approach
Hubungan Pencarian Informasi Lee Jeno pada Akun Twitter @LeeJeno_IDN dengan Kebutuhan Informasi Followers

Information seeking activities are also usually carried out to meet the needs of each individual and on this activity can be done on social media especially Twitter. Purpose Research. This study aims to find out whether there is a significant correlation between information seeking with the fulfillment information of cognitive needs, affective needs, social integrative needs, and escapist needs of @LeeJeno_IDN’s followers. Methods. This research used correlational quantitative method by using Pearson Correlation. On this population of this research were the followers themselves and got drawn sample with amount 100 using Simple Random Sampling. Result. And the result of this research shown that there is a significant correlation between information seeking with the fulfillment information of cognitive needs, affective needs, social integrative needs, and escapist needs of @LeeJeno_IDN’s followers. Keywords: Information Seeking, Information Needing, Twitter, Social Media, Information
Pelaksanaan Kode Etik Pustakawan Untuk Memaksimalkan Kualitas Layanan Perpustakaan SMP Negeri 1 Sumberrejo

ABSTRACTThe librarian's code of ethics is the key to customer service satisfaction. Professional librarians must have high integrity with the ability and expertise of their field and have a personality by the values of the professional code of ethics. Purpose Research. This study aimed to determine the application of the librarian's code ethics in the library of SMP Negeri 1 Sumberrejo in serving the users and explain what obstacles were experienced by librarians in implementing the librarian's code ethics. Methods. The qualitative approach is the method used in this research. Data collection techniques using interviews, observation, and documentation. Two informants were interviewed, namely the head of the library and the librarian. Result. The result of this research is that application of the librarian's code ethics in the SMP Negeri 1 Sumberrejo is still not optimal. The librarian's response is not good when communicating with the users in providing services, and the librarian is not firm when library facilities are misused. Conclusion. Librarians still face obstacles from internal factors, and librarians do not understand the librarian's code of ethics and the varying level of librarian education. External factors are the lack of socialization regarding the librarian's code of ethics and the lack of strict sanctions violating the code of ethics. Keywords: Code of Ethics; Librarian; School Library
ANALISIS KINERJA APLIKASI INVENTARIS BERBASIS WEB

Inventory Application is a web-based application developed to solve problems in inventory data processing. Payakumbuh College of Technology is a higher education institution in the city of Payakumbuh. Payakumbuh College of Technology is experiencing problems managing inventory data, which is still classified as manual. Therefore, a web-based inventory application was built at the Payakumbuh College of Technology, which was made using PHP, MySQL, and the CodeIgniter framework. To find out how good the quality of the application is, it is necessary to evaluate the performance of the application. GTMe-trix will be used as software testing to evaluate the performance of this application. User responses are also used as a reference for application developers in analyzing the usability of applications that have been built. The overall results of testing the performance efficiency of the inventory application show grade A results and page load times of 5.59 seconds. Therefore, the performance of this application can be stated to be very good and feasible to use. Overall, the informant's level of satisfaction with the use of this inventory application was stated at the satisfied stage. The indicators that still need improvement are barcode labels and barcode scanning automatically.
A cross-view geo-localization method guided by relation-aware global attention

Cross-view geo-localization mainly exploits query images to match images from the same geographical location from different platforms. Most existing methods fail to adequately consider the effect of image structural information on cross-view geo-localization, resulting in the extracted features can not fully characterize the image, which affects the localization accuracy. Based on this, this paper proposes a cross-view geo-localization method guided by relation-aware global attention, which can capture the rich global structural information by perfectly integrating attention mechanism and feature extraction network, thus improving the representation ability of features. Meanwhile, considering the important role of semantic and context information in geo-localization, a joint training structure with parallel global branch and local branch is designed to fully mine multi-scale context features for image matching, which can further improve the accuracy of cross-view geo-localization. The quantitative and qualitative experimental results on University-1652, CVUSA, and CVACT datasets show that the algorithm in this paper outperforms other advanced methods in recall accuracy (Recall) and image retrieval average precision (AP).
The Use of Machine Translation and the Error Analysis of post-edited translations in College English Reading Class.

This paper aims to explore the possibility of using machine translation in English reading classes. For this purpose, 38 subjects were divided into two groups according to the TOEIC score and required to translate and submit a 386-word English text through post-editing translation after using a machine translation tool. This analysis shows the four major error types of contextual comprehension, sentence structures, pronouns, title nouns. In addition, the subjects were required to participate in the questionnaire survey related to the effectiveness of reading comprehension classes using machine translation. The research also proved how effective English reading classes using machine translation were in comparison with English grammar-based reading classes. We can find the similarities between machine translation and students’ post-editing translation in error ratio and characteristics, and the differences between the two English levels in terms of post-editing correction methods and the number of translation errors. This paper is meaningful in that this study will contribute to diversification of teaching methods and improvement of the teaching quality in English reading classes by employing machine translation in English reading classes.
Strategies and Challenges of Shipping Supply Chain Operating System under Blockchain Technology

The breakthrough and wide application of cutting-edge technologies such as 5G, cloud computing and blockchain have provided a technical basis for the digital and intelligent transformation of the shipping supply chain. The epidemic environment also puts forward higher requirements for the stability and resilience of the supply chain, so it is also an urgent need to rely on digital and intelligent technology to build and improve the operation system of the shipping supply chain. Based on the analysis of the current situation, this study will consider how the blockchain technology can be better applied to the supply chain operation system with container shipping as the core, and find the defects and possible challenges in practical application. That is to study the strategies and challenges of shipping supply chain operation system under blockchain technology. The study found that by improving the integration of blockchain technology and the shipping industry, it is entirely possible to fully integrate logistics, capital flow and information flow of the shipping supply chain with blockchain and create an intelligent and reliable ecological network of shipping supply chains. At this time, a more complete shipping supply chain operation system under the blockchain technology will also be constructed. However, there are not enough complete typical cases to support the integrated design of this study. Therefore, the supply chain system may have defects and some challenges. It is not difficult to future research directions from these challenges, and future research prospects will also be pointed out.
PHOTOGRAMMETRY IN ARCHEOLOGY ACCORDING TO VERIN NAVER BURIAL GROUND AND THE SHENGAVIT SETTLEMENT

Abstract. Photogrammetry is a non-destructive, three-dimensional modeling technique that has been widely adopted in archaeology. Archaeological monuments are particularly vulnerable to natural and anthropogenic activities, such as destruction, weathering, and erosion. Therefore, precise fixation and documentation of the monument are essential for preserving cultural layers for future generations. Digital technologies, especially photogrammetry, enable us to obtain better results for the photogrammetric survey. In recent years, this method has been employed in the excavation sites of Shengavit settlement and Verin Naver tombs, demonstrating its effectiveness in archaeological research. To obtain a better view of the stratigraphy of the site, the data was merged with archival drawings of previously collected information. This integration of data has allowed for a more comprehensive understanding of the site's history and evolution.
An efficient data protection scheme with blockchain in IoT

With the development of science and technology, all kinds of data are generated in our daily life. While data analysis brings convenience, it also poses threat to users' privacy. This paper proposes a data security privacy protection model with blockchain in IoT. First, encrypt data before it is stored in the cloud. Secondly, in order to verify user identity and ciphertext safely, an efficient certificateless signature scheme is proposed. The signature scheme is security under random oracle model and time performance is efficient.
A METHOD OF FORMING THE STRUCTURES OF DIGITAL DOUBLES OF DOMAIN-ORIENTED OBJECTS IN THE OPEN SOURCE SPACE BASED ON THE FORMALISMS OF THE THEORY OF SETS, GRAPHS, CATEGORY THEORY AND THE THEORY OF GENERATING CHOMSKY LANGUAGES

For the material of this article, open sources can be presented as information posted on the Internet for multiple and unlimited use in the form of machine-readable systematized data, in formats that allow their separate automated processing. Any of the open sources is partially structured content, cha¬racterized by the fact that it consists of fuzzy overlaps and connections formalized by a number of sustainable rules. Aim. The purpose of the study is to produce a mathematical description of the rules for the decomposition of links of virtual images of content based on statistical data of comparisons in order to formulate a digital analogue of the verbal structure. The research is accompanied by the development of a modular cross-platform predictive analytics system for distributed open sources of the social digital environment based on multi-stream data processing technologies. The system is based on the creation of a prototype of a digital twin, which allows monitoring and subsequent analysis of open sources. A cross-platform digital twin can be created for various open sources. Currently, among them, social networks are a priority for the analysis of the studied data. Materials and methods. Turning to the same type of code content, it becomes necessary to formalize the rules for categorizing the semantic meanings of the structure of connections of the object of study, which can be described in the language of graph theory, have a suitable structure in Lie matrices, obey the laws of transitivity and have properties that allow you to recreate connectivity in a quasi-projection. A method is proposed that makes it possible to produce sequential calculus that does not contradict each other according to the basic rules of axiomatics. Results. The method allows for real-time analysis of the data flow of open sources, identification of digital traces of research objects, identification of the structure of their connections. Conclusion. With the help of the proposed group of algorithmized mathematical iterations, it becomes possible to create a combination of local systems with feedback subsystems of predictive analytics of open sources of Internet resources and local systems for various purposes.
Analysis of Factors Influencing The Acceptance of Hospital Management Information System (SIMRS)

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PENGARUH KECERDASAN EMOSIONAL DAN MINAT BELAJAR TERHADAP PEMAHAMAN AKUNTANSI (Studi Pada Mahasiswa Fakultas Ekonomi Universitas Nasional PASIM)

The purpose of this study was to examine the effect of emotional intelligence and learning interest on the level of understanding of accounting. This study uses primary data which includes questions in the form of a questionnaire that is measured using a Likert scale. The research sample is 133 students who had completed introductory accounting courses. The results showed that emotional intelligence had an effect of 64,4% on students understanding of accounting and learning interest had an effect of 72,2% on students understanding of accounting, simultaneously emotional intelligence and student learning interest had a positive and significant impact on the level of accounting of faculty students economics study program of management and accounting at Pasim National University. &#x0D; &#x0D;
Peranan Gerakan Literasi Terhadap Pemahaman Berbahasa

This journal explains how to improve language comprehension through literacy education in SD or what is often called the School Literacy Movement (GLS). The School Literacy Program is designed using the Read-Summary-Tell-Share method. The subjects of this study were all students including low grades (1, 2 and 3) and high grades (grades 4, 5 and 6), educators (teachers), education staff, principals and librarians. This research was carried out according to the stages of student development based on their characteristics; 1) implemented in a balanced manner; 2) use a variety of texts and pay attention to the needs of students; takes place in an integrated and holistic manner in all areas of the curriculum; 3) carried out on an ongoing basis; 4) involving oral communication skills; 5) considering the diversity and condition of schools. The results of this study students understand the language properly and correctly.&#x0D; &#x0D;