Reviewerly/exHarmony huggingface dataset:
STUDY PUBLIC RESPONSE OF SAMARINDA CITY TO THE INSTALLATION OF RAINWATER HARVESTING AND IT’S BENEFITS

Flooding, a lack of potable water, and environmental harm caused by regional expansion are all issues that continue to plague Samarinda City. This research tries to persuade the community to use rainwater harvesting (RWH) systems as a solution to these issues, and then closes with the people of Samarinda's overall response. It was discovered that 33% of respondents collect and use rainwater for various reasons utilizing a survey method and descriptive analysis approach. Only 16 percent of the 33 percent use it for basic needs (cooking and drinking water). The majority of responders (80%) think that using rain water (RWH) can lessen the Regional Water Company's service load. However, the number of people who are aware of the favorable effects of RWH on the environment is still quite small, around 25%. The biggest reasons for respondents not installing RWH in their homes and environs are the expense of installation (26%) and space availability (52%) issues. In order to boost public interest in rainwater collecting with RWH installations in the future, more extensive and precise socialization activities and movements are required.
MEANDERS OF TEACHERS’ MUSICAL PEDAGOGICAL TRAINING IN UKRAINE AND POLAND: HISTORICAL-PEDAGOGICAL DISCOURSE

The article highlights the results of scientific research, which is carried out according to the principle of historicism, which aims to find the "presence" of the past and the presence of "seeds" of future development in modern musicpedagogical education.The purpose of the article to highlight the peculiarities of teachers' music-pedagogical training at various stages of the development of the education system in Ukraine and Poland.The purpose is realized through the use of the methodological potential of the historical-pedagogical discourse.Genetic analysis makes it possible to establish the initial conditions for the development of music education of teachers in Ukraine and Poland and highlight its main stages (confessional-musical, deunification-educational, uniting-search, content-organizational and European integration).It has been proved that since during the second millennium Ukrainian and Polish lands often coexisted in the coordinates of one state or a European-type military-political union, and cultural and educational processes had similar development trends, the permanent changes experienced by the musical training of future teachers in the bosom of pedagogical education in Poland and Ukraine in generally coincide.In particular, elementary school teachers were trained at the practical level, and secondary and higher school teachers at the academic level, and special attention was paid to their musical training.Thanks to the use of comparative and diachronic analysis, national specificities and common trends in the teachers' musical-pedagogical training in the areas of Galicia and Cieszyn Silesia.Attention is drawn to the universalization of a public school teacher's training, who had to learn the basics of general education, to be a methodologist and educator, an artist and musician, an organizer of student choirs and orchestras, an organist, a violinist, a composer and the author of methodological manuals.The revival of the traditional silhouette (profile) of a highly educated teacher, in whose professional training the art of music plays a serious role, is noted.
Hardness of Braided Quantum Circuit Optimization in the Surface Code

Large-scale quantum information processing requires the use of quantum error correcting codes to mitigate the effects of noise in quantum devices.Topological error-correcting codes, such as surface codes, are promising candidates as they can be implemented using only local interactions in a twodimensional array of physical qubits.Procedures such as defect braiding and lattice surgery can then be used to realize a fault-tolerant universal set of gates on the logical space of such topological codes.However, error correction also introduces a significant overhead in computation time, the number of physical qubits, and the number of physical gates.While optimizing fault-tolerant circuits to minimize this overhead is critical, the computational complexity of such optimization problems remains unknown.This ambiguity leaves room for doubt surrounding the most effective methods for compiling fault-tolerant circuits for a large-scale quantum computer.In this paper, we show that the optimization of a special subset of braided quantum circuits is NP-hard by a polynomial-time reduction of the optimization problem into a specific problem called PlanarRectilinear3SAT.
Super-Resolution of Synthetic Aperture Radar Complex Data by Deep-Learning

One of the greatest limitations of Synthetic Aperture Radar imagery is the capability to obtain an arbitrarily high spatial resolution.Indeed, despite optical sensors, this capability is not just limited by the sensor technology.Instead, improving the SAR spatial resolution requires large transmitted bandwidth and relatively long synthetic apertures that for regulatory and practical reasons are impossible to be met.This issue gets particularly relevant when dealing with Stripmap mode acquisitions and with relatively low carrier frequency sensors (where relatively large bandwidth signals are more difficult to be transmitted).To overcome this limitation, in this paper a deep learning based framework is proposed to enhance the spatial resolution of low-resolution SAR images while retaining the complex image accuracy.Results on simulated and real SAR data demonstrate the effectiveness of the proposed framework.
Development of 5.0 based learning devices using wordpress websites

This study aims to describe and explain the validity of the device, the practicality of the learning device, and the effectiveness of the learning device through word press media for high school in West Sumatra. This research method is a development model. The test subjects in this development research were high school students from the city of Padang. Instruments used to collect data in this study include: validity instruments, practicality instruments and effectiveness instruments. Data obtained through various instruments qualitatively and quantitatively. The findings in this study are First, the validity of the wordpress-based economic textbook learning tool with a very valid level of validity for linguists. Second, Validity of lesson plans and syllabus learning tools on wordpress-based economic subjects with a level of validity for linguists is very valid. Third, the validity of LKS learning tools on wordpress-based economic subjects with a very valid level of validity for language experts.
Significance of Cloud Computing in Libraries

Cloud computing is an emerging technology.The Science Model is an IT (Information Technology) approach that is used frequently in these enterprises and in society in general.Innovative changes Information and communication technology (ICT) practitioners included, have been brought about by cloud computing.(ICT ) due to its advantages such as decreased price, available somewhere whenever as nicely as flexible and elastic as it is.In this essay, cloud computing is defined.And how cloud computing options can be really useful for libraries..
Access of E-Resources under N-List Programme in Maharani Science College, Mysuru: A Survey

The present study has been undertaken with a view to know the scenario of the usage pattern of e-resources available under N-LIST programme by the faculty members, under graduate students and post-graduate students of Maharani Science college, Mysuru.The study aims at ascertaining the frequency of access, place of access, access mechanism and also search strategy used by users.A survey method was adopted, which comprises self-designed questionnaires and distributed through purposive and stratified random sampling method among the users.It also gives the present member's strength of the N-LIST programme.On the basis of filled up questionnaires received from the respondents, data has been analyzed and tabulated using SPSS software.
Social Media and Libraries

Academic libraries utilize social media to inform internet users about their resources and services while also promoting those resources.The internet user community as a whole is drawn to this.To keep up with the quickly expanding contemporary trends in academic libraries, social media must be.Thanks to the development of mobile communication technology, they are now a common part of our daily lives.Academic libraries provide several options to interact and connect with users simply using social media.The online platforms and software programs that let individuals engage in social networking or produce and share content.Modern Libraries employ social media as a platform for communication, information distribution, and knowledge exchange in this digital age.For research on Face book, Twitter, YouTube, and Pinterest.The study focuses on two factors: Type of published material and User involvement to gauge the reaction.
Use and Awareness of E-Resources by Social Scientists: A Comparative Study of Banaras Hindu University and Aligarh Muslim University

E-sources have been a boon to the research community as ICT advancements have made them a major source of scholarly communication. E-resources emerged as a new and powerful tool in the electronic environment, as an aid in teaching, learning, and research. The purpose of this paper is to determine the level of awareness and use of eresources among social scientists at Banaras Hindu University (BHU) and Aligarh Muslim University (AMU). Awell-structured questionnaire has been administered to the social scientists of the BHU and AMU to collect data regarding the use of e-resources.The study focuses on the methods used by social scientists to search and browse eresources, as well as their satisfaction levels and problems faced.However, it has been found in this study that a lack of training is a barrier to the proper and full utilization of e-resources.
Cloud Computing: An Innovative Tool for Library Services

Cloud computing, a cutting-edge approach to ICT, offers potential benefits like cheaper prices, accessibility from anywhere at any time, and elasticity and adaptability.In this essay, cloud computing is defined along with its definition, essential traits, paradigm, components, advantages, and disadvantages also covered is cloud computing in libraries..
Optimisation of SPARQL queries over the RDF data in the cloud environment

The semantic web is built with the support of resource description framework (RDF). The changing faces of semantic web created the requirement of new approaches to store and query the RDF data. The RDF data contains large volume of data that have more number of binding. Processing the SPARQL queries over the RDF data in the cloud creates some challenges. The network cost and query processing time highly impacted the performance of queries over the cloud. This paper proposed an optimisation algorithm for query processing in the large datasets. The proposed algorithm considered the parallel execution of queries as a major objective to reduce the network cost as well as to minimise the response time of the query. The experimental evaluation is carried using the LUBM 400 university dataset along with the hardware rented with Amazon web services. The proposed algorithm proved their efficiency in terms of reducing the query response time and minimising the network traffic.
The level of legal consciousness in pedagogical college students

The issue of legal personality formation within consciousness of students in pedagogical institutions is of great importance. The aim of the article was to determine legal consciousness initial condition of pedagogical college students and to propose ways to improve it. The relevance of the study is determined by the fact that pedagogical college students form a possibility of transferring moral and psychological patterns, which includes their legal consciousness in their future professional activity. The key basis within the research structure is represented with definition of legal consciousness initial values and development of methods aimed at its correcting. The initial values and their impact on programs of students' legal consciousness formation are determined. It was found that flexible strategy of legal consciousness level increase can provide full integration of the present aspect into legal framework of teaching process.
A novel high-efficiency searchable encryption scheme under robot cloud computing environment

This paper proposed a high-efficiency searchable encryption scheme under cloud computing environment. Through the matching calculation of keyword index set and keyword trapdoor generated by the data user, the searchable encrypted mechanism is realised. By utilising the powerful computing resources of the cloud server, the pre-decryption operation is introduced to reduce the computing time cost of the data user. The cloud server does not know anything about the original file in the cloud through a trapdoor corresponding to the user-provided keyword (the trapdoor retrieves files containing a specific keyword from a large number of encrypted files). Security analysis shows that the new scheme cannot leak data privacy information and has stronger security than other state-of-the-art schemes.
Automatic classification of multi-source and multi-granularity teaching resources based on random forest algorithm

In traditional teaching resource classification methods, the classification accuracy is low and the RDV value of classification convergence is high. Through fuzzy information mining and fusion clustering method, multi-source and multi-granularity teaching resource data is obtained. With the help of incremental orthogonal component analysis method, the dimension of multi-source and multi-granularity teaching resource data is reduced. First, the teaching resource data is brought into random forest. Then, the filtering error of teaching resource is determined according to the classification parameter nonlinear feature recognition results. Finally, the multi-source and multi-granularity teaching resource classification is completed. The experimental results show that the highest classification accuracy is about 98%, and the lowest RDV is about 0.015.
Mechanism Balancing Taxonomy

Mechanism balancing consists of distributing their masses, inertias, and elastic components in order to achieve specific mechanical properties such as: insensitivity to gravity, insensitivity to linear and angular accelerations, or shaking force cancellation. This article proposes systematic definitions of various balancing types and classifies them into a new taxonomy represented by a 4-set Venn diagram based on 4 primary balancing types: static balancing, force balancing, moment balancing, and inertial invariance. The intersections of these primary types lead to 4 pure balancing types and 11 blended balancing types. The definitions and applications of the primary balancing types are listed along with their intrinsic properties. The proposed taxonomy is exemplified with one-degree-of-freedom rotative mechanisms for which the conditions required to achieve balancing are made explicit. This theoretical work alleviates several inconsistencies observed in the existing literature, for example, concerning the concepts of dynamic balancing and inertial balancing. It also consolidates the conceptual understanding of mechanism balancing, which allows for a more rigorous analysis of existing mechanisms and paves the way for the design of new kinds of balanced mechanisms.
Optimal web page classification technique using artificial neural network

The rapid growth of the World Wide Web (WWW) is demanding for an automated assistance for web page classification (WPC) and categorisation. WPC is a supervised learning problem which is a hard topic in the area of data mining. In this work a method for WPC is proposed. The method consists of feature extraction, information learning and classification phrases. In feature extraction, the features are extracted and utilised to extract informative contents of the pages. The information learning makes use of decision tree algorithm to extract the rules from the features calculated. Based on the rules extracted the classification utilises an artificial neural network and group search algorithm with firefly (ANN-GSOFF) algorithm to improve the WPC. The performance of this technique has been evaluated using WebKb dataset based on parameters like precision, recall and accuracy. The overall performance of projected technique is 67.42% recall, 74.77% accuracy and 83.12% precision values.
An English listening and speaking ability training system based on binary decision tree

In order to solve the problems of low speech resolution accuracy and poor auxiliary training effect of traditional auxiliary training system, a design method of English listening and speaking ability auxiliary training system based on binary decision tree is proposed. The hardware design includes English listening and speaking data extraction module, storage module and training module. In terms of software, the binary decision tree algorithm is used to construct the binary decision tree training model of English listening and speaking training. Through the algorithm, the data information of English learners in the process of listening and speaking ability training is extracted and the training data is evaluated. The experimental results show that: this system has high accuracy in the discrimination and evaluation of English speech data, and low occupancy rate of system storage space, which is conducive to improving students' English listening and speaking ability and English learning achievement.
Ontology-based hierarchical retrieval model for digital English teaching information

In order to overcome the low recall and precision of traditional English teaching information retrieval model, this paper designs a hierarchical retrieval model of digital English teaching information based on ontology. TF-IDF and simhash algorithm are used to judge the similarity of digital English teaching database documents and calculate the weight of English teaching information retrieval keywords. Using the relationship between different retrieval concepts to build a semantic network diagram, a hierarchical retrieval model of digital English teaching information was built, the retrieval results according to the user's interest were adjusted, and more accurate retrieval results are obtained. The experimental results show that the recall rate of the model is more than 94%, the precision rate is more than 96%, and the average retrieval time is only 0.44s, which shows that the recall rate and precision rate of the design model are higher, and the retrieval time is shorter.
Design of online learning behaviour feature mining method based on decision tree

In order to solve the problems of traditional feature mining methods, such as low precision of feature extraction and high time cost of mining, this paper proposes an online learning behaviour feature mining method based on decision tree. SVM is used to obtain online learning behaviour data and heterogeneous support vector, with online learning behaviour feature data extracted by transforming data form. Then, the behaviour feature data is preprocessed by the agglomerative hierarchical clustering method. Based on the analysis of the principle of decision tree, the root information gain maximisation data is obtained, and the online learning behaviour feature mining is realised by correcting the leaf node error. The experimental results show that the feature extraction accuracy of this method can reach 98%, and the mining time is always less than 2.5 s, which proves that it can meet the design expectations.
The cooperative type cooperative integrated reading and composition (CIRC) model is being used to enhance reading comprehension skills.

The Use of a Cooperative Learning Model of the CIRC Type to Improve Reading Comprehension Skills The research goal is to define cooperative learning model processes in order to improve reading comprehension skills in SD Muhammadiyah 2 Sorong City. This study makes use of classroom action research (CAR). The process of observing actions entails preparing, doing, observing, and reflecting. There are two cycles involved in accomplishing an action. With a total of 30 pupils, the topics were 4th grade in SD Muhammadiyah 2 in Sorong City. employing observation, questionnaires, interviews, and tests as methods of data collection. The study's finding indicates that using a cooperative learning model like CIRC can improve students in SD Muhammadiyah 2 Sorong City's fourth grade reading comprehension skills.
Pattern of Hematological Diseases treated at Birat Medical College and Teaching Hospital

Introduction: Hematological diseases are increasing day to day in the eastern region of Nepal. There are very few centers providing treatment to hematological diseases patients in the eastern region of Nepal.&#x0D; Objectives: The aim of this study is to stratify the types of hematological diseases treated at Birat Medical College and Teaching Hospital along with their demographic and clinic-pathological features.&#x0D; Methodology: This descriptive cross-sectional study was conducted from 21 December 2020 to 20 July 2021 in the Department of Hemato-Oncology. All the clinically as well as laboratorically proven hematological disease patients receiving treatment during the study period were taken as study population. Hematological diseases are blood related diseases like anemia, blood cancers (like leukemia , lymphoma , multiple myeloma) ,hemolytic diseases , coagulation disease ,thrombocytopenia, etc. Data were entered and analyzed in Microsoft Excel version 2010 and IBM SPSS Statistics version 22 respectively.&#x0D; Result: There were a total of 48 cases who received treatment during the study duration. The mean age of the cases was 50 (range 2-92) years with female gender almost equal to male gender. About 29% cases were involved in tobacco/ smoking . Majority of the cases involved were leukemia (33%), lymphoma (21%) ,hemolytic disease(11%) and Immune thrombocytopenic purpura(11%) cancer.We have good clinical remission (61%) of the cases, majority of which were non malignant cases. Total 77% of the cases were alive, 4% were referred while 19 % of the cases expired during the study period, majority of which were acute leukemias.&#x0D; Conclusion:There is a rise of hematological cancer in eastern Nepal and hence there is a need for a comprehensive hematological center in the eastern region of Nepal.
The effects of electrode configuration on omnipolar signals: An in-silico approach

Atrial Fibrillation (AF) is the most common cardiac arrhythmia, involving pathological triggers and substrate in the atria.In the clinical catheter laboratory, contact electrograms are an essential tool to characterise AF.Omnipolar electrograms (OE), derived from three or more neighbouring electrodes, are thought to be superior compared to traditional unipolar and bipolar electrograms by eliminating far-field effects and correcting for wavefront incidence angle.We sought to understand the changes in OE morphology under different electrode configurations using 2D simulations of healthy tissue and scarred tissue.Virtual unipolar electrograms (UE) were generated from single electrodes which were used to predict the local electric field and subsequently calculate OEs in cliques of 3, 4, and 6 electrodes at different inter-electrode spacings.Five features were identified on each OE to measure changes in OE morphology under different clique configurations.Additionally, the morphology of the OE signals in the presence of fibrosis was examined.OE signals obtained from scarred tissue are more fractionated compared to healthy tissue.The most appropriate inter-electrode distance for interpreting the OE signals was found to be 2-3mm, using either three or four electrodes.