Reviewerly/exHarmony huggingface dataset:
Technological Infrastructure and ICT Use by Elementary School Teachers in San José Chiltepec, Oaxaca

This exploratory study involved teachers from three rural primary schools in San José Chiltepec, Oaxaca. Its objective was to diagnose the technological infrastructure and information and communication technologies (ICTs) applied in education in those schools. We learned the technological infrastructure of each institution and identified the teachers’ mastery of technology by determining the primary needs for technology in the schools, the use of technology in the teaching–learning processes, and the teachers’ perceptions about its benefits and impact on education. The findings highlighted the importance of ICTs in primary education in the complex and limited socioeconomic contexts of the Oaxacans and the need to use the current infrastructure well. From the results, we proposed a series of strategies for the elementary schools to improve their technological infrastructure and help the teachers accept the paradigm shift from traditional education to one strengthened by technology and innovation.
Peran Kepemimpinan Kepala Sekolah Dalam Inovasi Manajemen Perpustakaan Untuk Meningkatkan Mutu Pembelajaran Di SMPN 2 Dompu

This study aims to describe the Principal's Leadership Role on Library Management Innovation in improving the quality of learning at SMPN 2 Dompu. To describe Innovations in Procurement Planning, Procurement of Collections, Classification of Collections, Services, Monitoring and Evaluation of the Implementation of the Library Program. This study uses a qualitative research approach, with several data collection techniques in the form of interviews, observations and documentation studies. The subjects of this study were the principal, two library managers, five teachers, five students, and one librarian. The subject of the school only took one school as the respondent, namely SMPN 2 Dompu. This is because SMPN 2 Dompu is a model school set by the West Nusa Tenggara Education Quality Assurance Institute. It is also inseparable from the role of libraries. For this reason, the authors took SMPN 2 Dompu as research subjects. The results of the study are 1). That the principal's leadership in improving the quality of education is very important in improving the quality of education which is assessed as a superior who is the central element determining the direction of school success. The role of the principal at SMPN 2 Dompu has been optimal, so that the principal has more time in school, such as controlling teacher educators every morning, then evaluating, and conducting training on the teacher council so that the school administration is adequate. democratic nature in leading its members. 2). From the results of interviews and observations on the management of the library management at SMPN 2 Dompu, it shows that in planning, compiling, classifying, serving, controlling and evaluating innovation
A geochemical and Sr-Nd and stable Ca isotopic study of Wajrakarur Kimberlites, India.

The ~1.1 Ga old Wajrakarur Kimberlites from the Eastern Dharwar Craton occur in four clusters [1][2][3].While the depth of origin of these magmas are often debated (SCLM [3] versus asthenospheric mantle [4]), their compositions reflect limited crustal contamination [3, 4].Calcium isotopic composition of the bulk silicate Earth (BSE, δ 44/40 Ca SRM915a , 0.94 ‰) is primarily estimated from mantle xenoliths [5].However, large variability in δ 44/40 Ca values exists in mantle derived rocks which reflects magmatic processes as well as crustal recycling [6].Here we present Ca isotopic compositions of whole-rock kimberlites from Wajrakarur.These samples have also been analysed for their geochemical and Nd, Sr isotopic compositions.The δ 44/40 Ca SRM915a values were measured using a double spike-TIMS [7] while Sr and Nd isotopic compositions were determined using TIMS; geochemical compositions were determined using a quadrupole ICPMS, all at the Centre for Earth Sciences, IISc, Bangalore.The Wajrakarur kimberlite pipes display enriched trace element concentrations (e.g., [La] = 200-1300 times Chondrite) and light-REE enrichment with high La/Sm (5-15) and La/Yb (50-200).The 87 Sr/ 86 Sr (t) (t = 1.1 Ga) of most samples, screened for alteration, ranges from 0.70147 to 0.70391; these samples show mostly mantle-like Ce/Pb and Nb/U, consistent with their mantle derivation and minimal crustal contamination.The kimberlite sample KL2 displays radiogenic 87 Sr/ 86 Sr (t) (0.70830), as well as low Ce/Pb (4.4) and Nb/U (0.8), all indicating crustal contamination.The δ 44/40 Ca SRM915a values (0.99-1.42 ‰), measured in selected samples thus far, are higher than BSE.Such high δ 44/40 Ca SRM915a values could reflect the role of garnet and/or orthopyroxene in the origin of these rocks.
Model Reuse Method in Protection Schematic Simulation

Various types of protection equipment from different manufacturers are used in the substation. In different application scenarios, protection devices of the same model and version usually adopt the same protection schematic diagrams except only function switching and parameter setting are different. Therefore, the paper proposes a general model reuse method to realize multiplexing application of protection schematic graph model in microcomputer protection schematic simulation and training. First, basic protection diagram simulation model is established according to the software principle of the protection device. Then, instance protection diagram model is generated through the basic model and engineering configuration file automatically. In the simulation process, detail simulation data is recorded for each actual simulated device. Finally, the correspondence relation is achieved between a virtual protection schematic model and several simulation instances. Furthermore, the effectiveness of the method proposed in the paper is validated through case study.
Fast-Converging Congestion Control in Datacenter Networks

The widespread deployment of Remote Direct Memory Access (RDMA) in datacenter networks increases the stringency for convergence speed when congestion occurs. Fast convergence significantly reduces buffer occupancy, which in turn lessens the probability of triggering Priority-based Flow Control (PFC). Besides, the propagation delay becomes shorter with rapidly growing link speed, which correspondingly makes the queueing delay a major part of end-to-end latency. Fast convergence and low buffer occupancy become more essential for lowering queue delay and flow complete time. We present DQCC (Double-Q Congestion Control), a fast-converging congestion control scheme, which consists of two fundamental components: (i) an ECN-marking-ratio-based queue buffer occupancy estimating (QBOE) solution and (ii) a queue-building-rate driven rate adjustment (QDRA) mechanism to achieve fast convergence. We conduct extensive experiments to evaluate the performance of DQCC, and the results show that DQCC greatly accelerates the convergence process. DQCC achieves low tail latency and low buffer occupancy simultaneously.
‘Organizing professionalism’ - a discussion of library professionals’ roles and competences in co-creation processes

Introduction. This paper investigates how co-creation may change the roles and relations between the library professional and citizens, and address what this development means to our understanding of what constitutes professionalism in the library profession as well as discuss the competences needed in order to be able to perform in this facilitating role. Method. This is a conceptual paper discussing selected research on co-creation and professionalism. Three brief examples from public libraries in Norway and Denmark is presented to illustrate how public libraries can facilitate and/or engage themselves in co- creation processes. Analysis. Research on co-creation and the role of professionals in co-creation processes creates together with Mirko Noordegraaf’s (2015) idea of ‘organizing professionalism’ an analytical lens for discussing how co-creation may change the competences needed for library professionals.. Results. The facilitating, relational and personal competences needed for library professionals in co-creation is discussed, and the importance of connections, dealing with conflicting logics and legitimising professional work is highlighted. Conclusions. Organising professionalism provides another perspective on professionalism that brings to our attention, that parts of the knowledge needed in co-creation processes exists and develops in dispersed knowledge networks and therefore cannot only be developed as an individual competence.
Impact of Shot Noise Estimation on the Secret Key Rate of a CV-QKD System

In this work we present the impact of the uncertainty of the shot noise estimate on the performance of a continuous variables quantum key distribution system using a probabilistically shaped 128-APSK constellation. We demonstrate that the performance of the system is greatly degraded by the uncertainty of the shot noise estimate, with a total loss of security being possible.
Finding and identifying expert team members in open source environments

Team members working in open-source development (OSD) environments, often are geographically distributed developing their software projects. For any software project to succeed, it is important to find the right experts who possess all the required skills and expertise. Searching for help and locating the right experts for each task are essential as well as extremely complicated tasks in OS environments. This article explores the problem of identifying experts in open-source environments. It focuses on mining developers' mailing lists to understand the developers' social structure and point out the experts involved in the development process. We identify the experts using the interaction factor (number of interactions), which means that the higher the number of interactions, the more active the team member. Results show that central members can be paramount experts in the network. Also, it shows that there are groups that can be defined by similarity based on members' connections. It concluded that the structure and location methods are very useful approaches in experts' prediction, and the proposed methodology can serve as an effective approach that OS project coordinators may use to identify experts.
Research on the Mode of Cultivating Students' Innovation Ability Based on the Idea of Integration of Production, Teaching and Research

In order to reform the ability training mode, the new mode of cultivating students was put forward based on the concept of integration of production, teaching and research.A school enterprise cooperative education base was built, the interdisciplinary integration was improved and the construction of the teaching staff was strengthened.Multi-dimensional teaching was carried out, and a tutor type scientific research team was built.The purpose of the mode is that the students constantly improved their practical ability while mastering professional knowledge, so as to comprehensively improve their innovation ability.
Food Feature Learning for Knife Cutting Operation of Cooking Robot with Parametirc Bias

The knife cutting operation of food in cooking is a task that requires dealing with nonlinear dynamics for a variety of ingredients with different types and individual differences. In this study, Deep Predictive Model with Parametric Bias (DPMPB) was used to learn state transition models and foodstuff features. We conducted an experiment to learn foodstuff features for 10 kinds of foodstuffs in the cutting operation of the robot, and confirmed that the foodstuff features were acquired as Parametric Bias without any supervision.
The attitude of teachers to the labour-related moral education of younger schoolchildren in extracurricular activities: a comparative analysis of rural and urban schools

The article is devoted to the study of the problem of teachers' attitude to the labor education of younger schoolchildren in extracurricular activities in the context of a comparative analysis of rural and urban schools. The relevance of the work is due to the need for a comprehensive analysis of various approaches to the labor education of younger schoolchildren arising in rural and urban schools. The study of the process of labor education of younger schoolchildren in extracurricular activities in various socio-cultural educational spaces will allow to identify pressing problems and on this basis suggest ways to solve them. The purpose of the article is to conduct a comparative analysis of the labor education of younger schoolchildren in extracurricular activities, using the example of rural and urban schools. To study the problem, an expert survey of teachers was conducted in the period from September 2021 to January 2022 using the Google Form service. Normative documents were used as research materials: the Strategy for the Development of Education in the Russian Federation for the period up to 2025, the Strategy for the Development of Youth in the Russian Federation until 2025, Order No. 286 "On approval of the Federal State educational standard of primary general Education" dated 31.05.21; methodological recommendations on the organization of education, as well as scientific research on this problem. 183 teachers took part in the survey, including from rural schools (n = 83), schools of the city of Orenburg (n = 100). The participants of the experiment were familiarized with the purpose of the study and confirmed their consent to cooperate. In the experimental work, the questionnaire method was used, which made it possible to identify the problems of organizing the labor education of younger schoolchildren in extracurricular activities and suggest ways to solve them.
Malayalam Digit Recognition Using CNN

Handwritten Digit recognition is the recent prominent field of research with the emergence and evolution of algorithms in machine learning, pattern recognition, computer vision and deep learning algorithms. Handwritten Digit Recognition system plays a best role in the field of data statistics, financial affairs like yearly checkup, inhabitant statistics, sorting the mail, processing of the bank checks, etc. The proposed system deals with the aspects of machine learning, where a model is built to extract and identify the handwritten Malayalam digits from an input image. The system involves in building an Convolutional Neural Network with filters that enhances the ability to recognizing correct features and predict the Malayalam digits accurately. The first stage of Malayalam Digit Recognition system is Malayalam Digit dataset creation followed by pre-processing step and then build the CNN model and extract the features and last the system classifies the digits. The Handwritten Malayalam Digit Recognition system recognizes the Malayalam Digits with an accuracy of 83%.The proposed system finds real-time applications.
Predictive Value of Plasma Hematocrit Level in Early Diagnosis of Pre-Eclampsia

Objective: To determine whether hematocrit level is associated with pre-eclampsia and assess its predictive value in diagnosing pre-eclampsia.&#x0D; Study Design: Cross-sectional validation study.&#x0D; Place and Duration of Study: Department of Obstetrics and Gynecology, CMH Quetta, from Jul 2019 to Jan 2020.&#x0D; Methodology: A total of 561 pregnant women with a singleton pregnancy were included in the study. The diagnosis of preeclampsia was made as per operational definition. The samples were collected by non-probability consecutive sampling. Pregnant females with a parity of 0-4, gestational age &gt; 16 weeks on last menstrual period (LMP) and singleton pregnancy on ultrasound were included in the study. In addition, data on plasma hematocrit findings and incidence of pre-eclampsia (positive/negative) were recorded.&#x0D; Results: The age range in this study was from 18 to 40 years, with a mean age of 28.805 ± 2.41 years, mean parity of 1.258 ± 1.07 and mean gestational age was 11.352 ± 2.22 weeks. Plasma hematocrit findings predict 26 (4.6%) patients, and the incidence of pre-eclampsia was in 35 (6.2%) patients. Plasma hematocrit findings had shown a sensitivity of 60%, specificity 99%, diagnostic accuracy by 97%, PPV 80.7%, NPV 97.3%, (p&lt;0.001) in diagnosis of preeclampsia.&#x0D; Conclusion: Haematocrit can be valuable as a screening test for the timely diagnosis of pre-eclampsia in health centres. Women with a hematocrit above the cut-off of 38% must be scrutinized prudently for the signs of pre-eclampsia.
An Improved Ensemble Classification Algorithm for Imbalanced Data with Sample Overlap

Classification of imbalanced data remains an important topic of machine learning. Existing and recent literature showed that class overlap had a higher negative impact on the performance of learning algorithms. The learning task becomes more difficult when there is data overlap in imbalanced data sets. Under the background of unbalanced data, this paper aims at the problem of sample overlap, and proposes an ensemble classification method of imbalanced data, namely unbalanced overlapping random forest (IORF). We consider the problem of sample overlap in imbalanced data classification and introduce the coefficient of sample difficulty to measure the importance of each training sample. When generating different data subsets according to the weighted bootstrap method, pay more attention to overlapping samples. Finally, the generated data subset is used to train the diverse decision tree for ensemble. In addition, in order to prevent the repeated selection of minority class samples from causing over-fitting of the classifier to the minority class samples, a data enhancement method based on Gaussian perturbation is proposed to reduce the over-fitting of the classifier to the overlapping minority class samples. The experimental results show that the proposed method can further improve the classification performance.
Extensible Key Management (EKM)

EKM is functionality that exists in SQL Server to allow you to store your keys in a secure repository away from your database or application servers. Traditionally this repository would have been a piece of hardware known as a Hardware Security Module (HSM) which would sit in a rack in your server room. These days we’re much more likely to use an HSM backed cloud service such as Azure Key Vault. In this chapter we look at using EKM with both TDE and Always Encrypted - using Azure for the examples.
Lecturers Perspectives on the Advantages and Disadvantages of Tablet Use for Learning and Teaching in a South African Rustic University

This research sought to establish the lecturers perspectives on the advantages and disadvantages of tablet use for learning and teaching at a rustic university in the East London district of South Africa.The research was anchored on qualitative approach and design used to collect the data was Case study research.The sample consisted of 10 lecturers from the departments of Information and Communications Technology and Electrical Engineering.The researcher developed an open-ended questionnaire to collect the data.The responses gathered were analysed thematically.Findings showed that lecturers experienced the advantages of tablet use for learning and teaching such as tablet as a vital and user-friendly tool, enhanced engagement and collaboration between students and lecturers and to do research.They also experienced disadvantages such as distractions, connectivity problems, taking photos during lecture hours and lack of concentration.Like any other device, tablets also have advantages and disadvantages.Therefore, if the university can set a policy that needs to be followed by each lecturer and student in classroom, disadvantages and ineffectiveness can be turned to advantages and effectiveness and thereby making tablet an effective tool for learning and teaching.
Efficient Optical Isolator Via Dual-Raman Process with Chiral Nonlinearity

A scheme for optical nonreciprocity is proposed via dual-mode Raman process in thermal atoms. We investigate a far-detuned nonlinear Raman process, with the assistance of the Doppler effect to achieve chiral optical nonlinearity. The resulting Kerr nonliner absorption is subject to a direction dependent Doppler shifts seen by the thermal atoms. Moreover, the inter-channel Raman interference could significantly enhance Kerr nonlinear absorption for probe field, leading to the enhancement of the optical nonreciprocity. Simulation results show that the isolation ratio could reach 41 dB and the insertion loss is about 0.16 dB, with bandwidth up to 2*pi*48 MHz. Furthermore, the sensitivity of the system is investigated under different strengths of the control and Raman fields.
An Improved Moving Object Detection in a Wide Area Environment using Image Classification and Recognition by Comparing You Only Look Once (YOLO) Algorithm over Deformable Part Models (DPM) Algorithm.

Aim:The objective of the research is to increase the precision of object detection using novel image classification using machine learning algorithms.Materials and Methods: The categorising is performed by adopting a sample size of n = 10 in You Only Look Once (YOLO) and sample size n = 10 in Deformable Part Model (DPM) algorithms with a sample size = 10 and the G-Power analysis was carried out with 80% and confidence interval 95%.Results and Discussion: The experiment outcomes shows that the You Only Look Once (YOLO) has a high accuracy of 90.78% in comparison with the 83.47%.A statistically significant difference exists between the research groups with p=0.001 (2 tailed) (p<0.05).Conclusion: Detection of items and entities with high accuracy using machine learning algorithms shows that the You Only Look Once (YOLO) generates higher accuracy than the Deformable Part Model (DPM) algorithm.
Enabling Verifiable Single-Attribute Range Queries on Erasure-Coded Sharding-Based Blockchain Systems

As the amount of data grows, blockchain has an increasing need for data storage and how to query data efficiently and securely. The combination of erasure coding technology and permissioned chain can reduce the storage consumption of each block from O(n) to O(1), but the query strategy it adopts limits the query function, reduces the query efficiency, and increases the network load. In this paper, we propose a query method for blockchains based on erasure code sharding, which combines the idea of pushing queries and accumulator to make up for the shortcomings of the original query strategy and ensure the integrity of the query results. We design an accumulator-based authentication data structure (ADS), which supports verifiable single-attribute range queries. Second, in order to solve the problem of amplifying the effect of node mischief brought by distributed computing, we propose an error correction strategy that uses the erasure code recovery mechanism to locally recover the fault interval and correct the erroneous results. Finally, it is implemented on the open source blockchain system Tendermint. It has been proved through sufficient experiments that the system query efficiency has been improved while ensuring the availability of the system.