Reviewerly/exHarmony huggingface dataset:
Impact of the Validity Analysis Model and Multirelational Data Clustering Based on the Trust Probability

In view of the present poor impact of multi relational data clustering, a multirelational data clustering effectiveness analysis model based on trusted probability is created. The construction of the multirelational data clustering trusted probability evaluation model, standardization of the multirelational data clustering trusted probability evaluation index, optimization of the multirelational data clustering trusted probability analysis process, and data clustering processing quality and finally, investigations show that the validity analysis model of multirelational data clustering based on credible probability is more effective in practice and satisfies the research goals entirely.
Access of Technology as a Mediator on Access to Finance to Drive Business Innovation in Small to Medium-Sized Enterprises

Abstract This study assesses the role played by access to finance as an indirect stimulant of business development and economic growth. The ‘access to technology is considered as a mediator in analyzing growth. A dataset that spans five years was gathered from small to medium-sized enterprises (SMEs) in different sectors, was analyzed as panel data through fixed and random effect regression estimation models. The results showed that access to technology playing marked role in mediating the relationship between access to finance and the adopted process sophistication. The results further showed that while access to finance is crucial driver for development in emerging economies, the access to technology seem to play more active role through stimulated growth owing to incremental improvements in business process sophistication. This study finds that multiple factors stemming from a firm’s access and use of newer forms of technology can play an essential role in generating these results, in particular the more straightforward access to finance. These findings were analyzed and interpreted under conditions that control for standard macroeconomic economic growth factors. The conclusions support policy decisions of governmental agencies that aim to improve financial support services and facilitate ease of access to cutting edge technologies.
Weather Forecasting in Python Django with Machine Learning

Abstract: Weather forecasting is that the application of science and technology to predict the state of the atmosphere for a given location and that they are created by collection quantitative information. Soft computing is an innovative approach to construct computationally intelligent systems that area unit supposed to possess human experience inside a selected domain, adapt themselves and learn to do higher in ever-changing environments, and make a case for however they create selections. options like time-to-time update weather Temperatures Update, Last seven days information Predict, weather in each hour as consistent with weather changes. Provide correct information info regarding weather. user will search weather anytime and anyplace. any places data are often search and supply info as consistent with weather. help user to travel. Help User to future plans for holidays. during this model using front-end and back-end techniques like hypertext mark-up language, CSS, Django, python, SQLite+
Genetic Stochastic Method of Global Extremum Search for Multivariable Function

This article is devoted to the development of stochastic methods of global extremum search. The modification of the annealing simulation algorithm [Ermakov and Semenchikov, 2019] is combined with the covariance matrix adaptation method [Ermakov, Kulikov and Leora, 2017]. In this case, an effective computational approach [Ermakov and Mitioglova, 1977] is used for modeling the multivariate normal distribution. The special algorithms of covariance matrices adaptation are suggested to avoid the obtaining of a local extremum instead of a global one. The methods proposed are successfully applied to the problem of nonlinear regression parameters calculation. This problem often arises in physics and mathematics and may be reduced to global extremum search. In particular case considered the extremum of ravine function of 14 variables was found.
Language Learning Strategies Used for Enhancing Reading Comprehension among Primary Year 6 ESL Pupils

There has been a huge transfiguration of English as a Second Language (ESL) teaching approaches in recent years.In view of this, the importance of Language Learning Strategies (LLS) is indisputable since 21st century teaching focuses on the learning process rather than the learning product.The ability to read is regarded as one of the most crucial skills to be mastered as it requires the readers to subconsciously interact with the writers through various cognitive and metacognitive strategies such as predicting, analysing, summarising, etc.This paper aims to shed light on the LLS employed by 60 primary Year 6 ESL pupils to master reading comprehension at a sub-urban school in Bintulu, Sarawak.Accordingly, Strategy Inventory for Language Learning (SILL) Survey Questionnaire is adopted in this study to identify the LLS used by the said pupils as they learn to read in English.The data were then discussed and analysed quantitatively in descriptive analysis.Results of the study revealed that compensation strategy is the highly used LLS, while the cognitive related strategy is the minimally used LLS among primary Year 6 ESL pupils in improving their reading comprehension.Future research is suggested to extend the investigation of LLS used towards other language skills in determining the success criteria of an effective language learner.
AUTOMATIC GENERATION OF DEM USING SVM CLASSIFIER

Abstract. People are moving towards an automated strategy for building a Digital Elevation Model (DEM) from a high-resolution Google Earth photograph as technology advances. Manually terrestrial measurements are both time and money costly. The automatic creation of DEMs became possible because to recent advances in image matching algorithms and intelligent filtering. The goal of this work is to give an overview of how to create DEMs automatically in the tough situation of a build-up area with the extraction of building points. The calculation of building heights, is to produce a digital elevation model, which may be easily obtained by collecting automatic Lidar point cloud data The estimation of building height with its shadow plays important role in determination. In this detection of shadow and removal of false shadow is also very important. During picture segmentation, shadow detection is performed. Statistical features are used to extract the suspected shadow. Support vector machine on IOOPL matching could effectively remove the shadow for shadow removal. The approach can successfully detect shadows in high-resolution remote sensing photos of cities and can effectively repair shadows at a rate of over 95%. SVM classifier with the accuracy of 92% as compared to others on lower end. The average variation in height estimation comes out to be 1.64 m. First, the building with height more than 20 m and slope more than 3 m, give significantly improved precision in determining building height. Second, the strategy is cost-effective because most RS images from Google Earth are free to use with less knowledge of RS is needed for computation.
Legal Regulation Of Genetically Engineered Activities

The idea that science has no boundaries comes from recent discoveries in the field of genetics.This is the science that deals with the study of genes, genetic variation and heredity in organisms.Over the past 25 years, the most revolutionary in the field has been the study of double helix DNA genes and genomes; this research has led to new discoveries, including the ability of humans to alter genetic sequences, the discovery of gene modification mechanisms such as the CRISPR-Cas (cluster regular short palindromic repeats) and Cas (CRISPR-related) system.Improvements in genetic engineering have opened up access to new opportunities to save lives and create new treatment options for diseases that cannot be cured by known classical methods.However, despite the current possession of such knowledge, two very important questions arise: First, can we make changes to a system that is not fully understood?Second, who controls the limits of genetic science?Unfortunately, there are no answers to fully answer these questions, because legal systems have not kept pace with the genetic engineering revolution and lawyers and scientists often do not understand the rules.In such a situation, the only true answer would be for the public authorities to intervene with adequate legal regulations and to apply the concept of bioethics to genetic engineering.This article presents the legal regulation of genetic engineering activities
Emergency remote education: A perspective of its potentialities and limitations in a Peruvian university

This research aims to identify the potentialities and limitations of emergency remote education in the Peruvian university context as a consequence of the COVID-19 pandemic based on teachers’ experience of the Hermilio Valdizán National University (UNHEVAL). The type of this research was descriptive and the sample consisted of 123 teachers of the academic period 2020-I. For the data collection, a questionnaire was used, whose validation was made through the judgment of experts (0.96) and the reliability of the results through the Z-test. According to the results, flexibility stands out between the potentialities in regards to topics’ distribution, time, and the possibility to produce greater interest in the participants. It was observed that time flexibility is not considered as favorable unlike what was detected through literature. Infrastructure stands out, especially when is related to the connectivity and Internet access as well as the distractors produced by the easy access to devices and applications that are not related to the class session. The paper revealed weakness in the digital competencies of both teachers and students, and the scarce level of social interaction caused by social isolation. It is concluded that the potentialities and limits of emergency remote education in a Peruvian university are conditioned by different elements specific to each context or country and must be considered for the production of new educational proposals as a policy of prevention of the possibility of new events that require mandatory isolation.&#x0D; Received: 1 July 2021Accepted: 19 April 2022
Dynamics of the remittances: Fnancial development nexus in Sub Saharan Africa (SSA)

This paper explores the inter-connectedness of remittances and financial development and how their associated covariates such as savings, investment, money supply and economic growth are impacted by this relationship. The study employs a panel vector autoregression (P-VAR) estimation technique, and the generalized methods of moments (GMM) are applied after removing fixed effects and lagged regressors are used as instruments to have consistent estimators. The main findings of the study demonstrate that (i) remittances and financial development have a feedback interrelationship, and some interlinkages are identified amongst their covariates, (ii) economic growth has a dual connection with financial development and that (iii) savings, investment, and broad money supply influence both financial development and remittances. These findings contribute to current discussions in the literature as they support the importance of deepening financial markets in SSA, and attracting more remittances. The significant role played by the diaspora in improving domestic financial depth is confirmed. Progression in SSA economic growth helps to stimulate those in the diaspora to repatriate most of their earnings back home.
Learners’ Perceptions of Computer-Assisted Instruction Approach Teaching and Learning of photosynthesis in Biology Lessons

The purpose of the study was to investigate the effect of computer-assisted instruction approach to the teaching and learning of photosynthesis on the performance of second year Senior High School (SHS 2) Biology students in science. The design for the study was a quasi-experimental research. This study was carried out in Sefwi Wiawso SHS and Asawinso SHS all at Sefwi Wiawso Municipal Assembly in the Western North Region of Ghana. They are all mixed institution. The purposive sampling techniques was used to schools, classes and students for the study. One-hundred one (101) electives biology participants were purposively selected, they consist of SHS 2 Science of (55) fifty-five students from Sefwi Wiawso SHS and SHS 2 Home economics of (46) forty-six students also from Asawinso SHS. The third years were not selected because they were preparing to write their WASSCE. The main instrument for data collection was questionnaire. The study collected only quantitative data and employed quantitative method of data analysis. Data obtained from participants in both experimental and control groups on the Test 2 were analysed statistically using independent-measures t-test. The independent-measures t-Test was used to investigate whether any differences existed between experimental and control groups’ mean scores on the Test 2. The study further revealed that computer-assisted instructions gives feedback to learners to have the opportunity to master computer-assisted instructional package tool used. It is recommended that, computer-assisted instruction method should be encouraged in many Biology classes in Wiawso Municipal Assembly, since it gives students opportunity to see links between concepts, summarise and organise their works, thoughts logically and sequentially. Both genders must be encouraged to use computer-assisted instruction method to studying Biology.
Penggunaan Google Forms Untuk Pembuatan Soal Ujian Sekolah di SMK Lowis Sakti

At this time the strategy in learning during the Covid-19 pandemic is through online learning. Google Forms is one solution, especially in making school exam questions. The use of Google Forms is increasing from time to time. This service from Google can be used for various purposes, such as creating forms, questionnaires, to creating questions. Creating questions is one of the Google Form features that are often used by academics, be it teachers, lecturers, students, researchers, and so on. The implementation of this community service aims to improve the insight and skills of teachers in choosing the right learning media during Distance Education. Partners involved in this community service activity are teachers at SMK Lowis Sakti, where the activities carried out are exam questions using the Google Form application, and the results of the two-day training were seen by teachers at SMK Lowis Sakti enthusiastic about the material presented. and have been found and able to answer questions and practice directly using the Google Form application.
Importance of Intercultural Communication in an Organization

Communication is the bridge that can unify cultures, but it requires continuous tweaking, buy-in, and also excitement from all teams. Communication is the process used by people to transmit, interpret, and share information. Effective information communication among the organization's employees is essential to increase employee engagement and motivation to encourage fulfillment. Communication requires reciprocity; it includes speaking and listening, making feedback one of the most imperative tools to direct the organization in a culturally diverse environment. Providing the necessary tools to guide, teach and train employees to navigate through a culturally diverse organizational environment successfully is an organization's responsibility so that it can cultivate employee growth and success. The purpose of this short article is to show the significance and utility of the concept of business society for scholars and practitioners in the field of information studies. It offers an academic as well as empirical assessment of the results of society on interaction and info in companies. First, the ideas of organizational society, information as well as communication are quickly discovered. Then a case study of the impacts of business culture on communication as well as details exists. Particularly, we make a thorough assessment of exactly how perspectives to communication and info that had their origins in a leading business culture were a strong impact on the death of the firm. It has been concluded in this review that educating the employees in an organization can help provide a better understanding of intercultural differences, organization-appropriate behaviors, and conflict resolution. Recognizing the complexities involved between communication and culture has become a need for most organizations to gain a competitive advantage and shape a positive workplace environment.
Credibility Analysis of Accounting Cloud Service Based on Complex Network

Compared with the previous accounting information system (hereinafter referred to as AIS), the dynamic and changing environment of accounting cloud service, cloud storage away from enterprise entities, service modules selected for purchase, and seamless dynamic configuration. With the emergence of new situations such as the reconstruction of accounting information processing process, the emergence of new features increases the information risk of enterprises. Therefore, taking reasonable and effective measures can enable enterprises to intuitively understand whether AIS is credible in the accounting cloud service environment. Referring to the existing research system in the field of reliability evaluation, this paper analyzes the current situation of accounting cloud service and its characteristics compared with the previous AIS and divides it into four parts: normative inspection, index calculation, and reliability calculation to illustrate the method system for measuring the reliability of accounting cloud service. This paper analyzes the reliability requirements and reliability attributes of accounting cloud services and constructs a reliability evaluation grade model combined with fuzzy comprehensive evaluation to guide the selection of users and the quality management of cloud accounting suppliers. Considering the complexity and dynamics of AIS reliability evaluation in accounting cloud service environment, the reliability of AIS is also affected by the complex call relationship between modules; combined with the complex network theory, a reliability analysis and evaluation method of accounting cloud service based on complex network are proposed.
Penerapan Agile Development Methodology dalam Sistem Penjualan Buku dengan Fitur Kategori dan Pencarian

In the current digital era, it is very important that business people need a website to make it easier to make sales online, buyers can search for goods without having to come to the store. Books are windows of knowledge. The Bookstore sells various types of best-selling book categories, latest books, school textbooks, cooking books, internet computer books, internet computer books, comics and novels, religious books, self-development books. The problem is that the bookstore owner has difficulty in knowing sales reports, difficulties in the number of available or empty book stocks, types or categories of books that cannot be separated. Designing a book sales information system and software developed using the Agile Development Methodology. The purpose of this study is that bookstores can have a website that attracts buyers, is easy to use and access, has a book category and search for books to make it easier for buyers to find the books they want and also make it easier for owners to manage book stock and reports
Politeness Strategies Employed in Communication with Santri and Ustadz in an Islamic Boarding School in Indonesia

This study on politeness and morals is a learning strategy used in the interaction between santri and kyai/ustdaz in Pesantren Salaf Al-Qur'an Sholahul Huda Al-Mujahidin. This study examined the politeness strategies of both santri and kyai/ustadz in their daily interactions and the factors underlying their use of such systems. Furthermore, a case study qualitative approach by doing observation and interview was employed as the study method. To figure out the phenomenon, Brown and Levinson's (1987) theory of politeness strategies was applied in analyzing the data: Bald on Record, positive politeness, negative politeness, and off Record. From the analysis, it was figured out that all types of politeness strategies were realized in kyai/ustadz utterances. In contrast, only three politeness strategies were performed by santri. It was identified that some social factors of power and social distance triggered the santri and kyai/ustadz to execute such plans. However, another influential factor that was found to encourage the participants to employ those strategies was Pesantren Sholahul Huda Al-Mujahidin's culture of akhlak encompasses several values based upon Islamic values declared in Al Quran and Al Hadith. Maintaining and nurturing this akhlak and morality is believed to be the basis of the realization of peace.
Construction of Digital Management Model of Personnel Archives Information Based on the Concept of Industry 4.0

In order to improve the effect of personnel archives information management under the background of Industry 4.0, this paper conducts in-depth research on retrieval technology. Aiming at the shortcomings and deficiencies of the existing sorting methods, this paper introduces the basic principle of information retrieval, the retrieval process, and retrieval model and proposes a relevance ranking algorithm based on the user vector calculation method and the record vector calculation method. The algorithm solves the query structure sorting problem of information retrieval, optimizes the retrieval process, and improves the efficiency of information acquisition. Under the guidance of the concept of Industry 4.0, this paper constructs the digital management model of personnel archives information. The experimental results show that the digital management model of personnel archives proposed in this paper has certain effects.
Human height and weight classification based on footprint using gabor wavelet and K-NN methods

Height and weight are parameters to identify a person, especially for a forensic. To identify height and weight is usually done manually. In addition to manually using height measuring devices and scales, you can also use information related to the foot length. There is a relationship between height and foot length can be expressed in the correlation coefficient (r) as same as for weight. Therefore, in this study, a system for measuring human height and weight based on images of the footprint is implemented on Android. The methods used in this study are Gabor Wavelet and k-Nearest Neighbor (k-NN). The simulation results generate the best accuracy of 75%. The system can also used to categorize the ideal body level according to the Body Mass Index (BMI). The system is able to process images with an average computation time of 8.92 seconds.&#x0D;