Reviewerly/exHarmony huggingface dataset:
Six frames, four moves, one habit: Finding ACRL’s Framework within SIFT

T he SIFT method of source evaluation, proposed in 2017 by educational technologist Mike Caulfield, was designed as a “practical approach to quick source and claim investigation.” At this time, academic librarians (including us) had already been questioning the effectiveness of popular source evaluation methods, especially checklist-based ones. Checklists seem too cursory and lack the flexibility and nuance needed to fully address the complex nature of internet sources. The number of librarian-proposed updates to checklist methods of source evaluation has accelerated in recent years, while SIFT has also emerged as a popular evaluation method with librarians. Because of SIFT’s popularity, and because we ourselves are using SIFT, we wanted to look closely at SIFT through the lens of the ACRL Framework for Information Literacy. We believe there is value in using concepts from the entire Framework to best teach source evaluation. It is important to identify overlap and gaps between the SIFT method and the ACRL Framework. Where does SIFT align with the evaluation expectations expressed within the Framework? What may academic librarians need to pair with SIFT lessons to better teach source evaluation? To answer our questions, we mapped the six frames of the ACRL Framework to the four moves and one habit of SIFT. Here, we introduce each move of SIFT, then connect it with relevant parts of the Framework. We also note where the Framework addresses source evaluation differently or in a more extended way than SIFT does, and what that might mean for librarians using SIFT in their classrooms.
Assessment of Entrepreneurship Education as a Strategy for Poverty Alleviation among Business Education Graduates of Universities in South-South Nigeria

This study assessed entrepreneurship education as a strategy for poverty alleviation among business education graduates from universities in South-South Nigeria. Three research questions and three null hypotheses guided the study. The study adopted the descriptive survey research design. The target population for this study comprised of 200 business education graduates in Federal/State Universities in South-South Nigeria. The entire population was used for the study, since the population is manageable. Hence there was no sampling. The instrument that was used to collect data in this study was a questionnaire. The face and content validities of the questionnaire were determined by the researcher’s supervisor and two other experts in Business Education Department. Cronbach alpha reliability index was used to determine the internal consistency of the items in the instrument. The data obtained were analysed using descriptive and inferential statistics. Mean and standard deviation were utilized to answer the research questions while independent samples t-tests were employed to test the hypotheses at a significance level of 0.05. The findings of the study revealed that on average, undergraduate students possess high ability in the utilization of ICT skills; that on average, business education graduates possess high ability in the utilization of management skills; that on the average, business education graduates possess high ability in the utilization of marketing skills. The study also revealed that there is no significant difference between male and female business education graduates in the mean ratings of their possessed competencies in marketing. The study recommended that educational institutions should provide additional education and training for undergraduate in ICT so that they can possess high ability on how to create website, identify and open spreadsheet in another location, send and receive fast messages.
Improved Multiplication-Free Biometric Recognition Under Encryption

Modern biometric recognition systems extract distinctive feature vectors of biometric samples using deep neural networks to measure the amount of (dis-)similarity between two biometric samples. Studies have shown that personal information (e.g., health condition, ethnicity, etc.) can be inferred, and biometric samples can be reconstructed from those feature vectors, making their protection an urgent necessity. State-of-the-art biometrics protection solutions are based on homomorphic encryption (HE) to perform recognition over encrypted feature vectors, hiding the features and their processing while releasing the outcome only. However, this comes at the cost of those solutions’ efficiency due to the inefficiency of HE-based solutions with a large number of multiplications; for (dis-)similarity measures, this number is proportional to the vector’s dimension. In this paper, we tackle the HE performance bottleneck by freeing the two common (dis-)similarity measures, the cosine similarity and the squared Euclidean distance, from multiplications. Assuming normalized feature vectors, our approach pre-computes and organizes those (dis-)similarity measures into lookup tables. This transforms their computation into simple table lookups and summations only. We integrate the table lookup with HE and introduce pseudo-random permutations to enable cheap plaintext slot selection, which significantly saves the recognition runtime and brings a positive impact on the recognition performance. We then assess their runtime efficiency under encryption and record runtimes between 16.74ms and 49.84ms for both the cleartext and encrypted decision modes over the three security levels, demonstrating their enhanced speed for a compact encrypted reference template reduced to one ciphertext.
Simulacija proizvodnje električne energije iz fotonaponskih panela korišćenjem solarnih sistema za praćenje

Roofs and walls of buildings represent an important location for the installation of photovoltaic systems in urban areas. High-rise buildings, with a specific spatial shape, provide the possibility of installing these systems both on the roof and on the exterior walls. Possible way to increase the efficiency of solar systems is to use solar tracking systems which maximize electricity production. In this paper, a simulation of photovoltaic systems installed on the roof and walls of a high-rise building in the city of Kragujevac, Serbia was performed, using fixed installation and installations with single and dual axis systems for solar tracking. The simulation was performed in the EnergyPlus software. The results show that usage of solar tracking systems increases electricity production, especially dual axis system for solar systems with an unfavourable orientation.
HASI: Hierarchical Attention-Aware Spatio-Temporal Interaction for Video-Based Person Re-Identification

Video-based person re-identification (re-ID) aims to match the same pedestrian of video sequences across non-overlapping cameras. Video re-ID methods generally adopt frame-level feature extraction for different video frames, but they still lack effective spatio-temporal interaction, easily leading to the multi-frame misalignment problem. In this paper, we propose a Hierarchical Attention-aware Spatio-temporal Interaction (HASI) network, including an Attention-aware Temporal Interaction (ATI) module and a Hierarchical Local-spatial Enhancement (HLE) module for video-based person re-ID. In order to avoid the spatial misalignment between video frames, the ATI module employs multiple Frame-to-Frame Temporal Interaction (2FTI) blocks with the Multi-head Inter-frame Alignment Attention (MIAA) to make the current frame iteratively interact with each rest frame of a video in a positive single-cycle manner, rather than only interacting with the adjacent frame or directly building the relationship of all frames at once. This module can not only obtain the long-range non-adjacent temporal information, but also learn the pairwise frame-to-frame relationships. Moreover, the HLE module is designed to enhance the local fine-grained features from multiple Transformer layers, whilst delivering low-level information to further enrich middle-level and high-level semantic knowledge. Thus, our method can learn multi-perspective pedestrian information, including inter-frame long-range interaction information and intra-frame multi-layer global and local information. Extensive experiments demonstrate the superiority of the proposed HASI method compared with the state-of-the-art methods on the three challenging video-based re-ID datasets, i.e., MARS, iLIDS-VID, and PRID-2011.
Factors Influencing Online Learning of Private University Students under the Covid-19 Pandemic in Selangor

The high uncertainty of the Covid-19 pandemic makes it challenging for policy makers to design suitable solutions in response to it, especially in the education sector. The education sector is highly affected by the outbreak of COVID-19. The outbreak of COVID-19 is hindering education globally and hence has forced some high institutions to switch to online classes with the aim of mitigating the spread of the disease. This study’s major objective was to determine factors influencing online learning of private university students under the COVID-19 pandemic in Selangor. The analysis was conducted through a quantitative approach using SPSS Version 20.0. From 217 participants given the questionnaire through online method with use of a Google link and social media such as WhatsApp and Facebook, the research obtained 206 responses. The analysis conducted, which included the linearity test, Pearson correlation analysis, and multiple regression, revealed relationship between independent variables (technical skills, course content and methodology, online connectivity and availability, student engagement) and the dependent variable (online learning under the COVID-19 pandemic). Hence, multiple regression showed that all the hypotheses were accepted. However, the research faced limitations relating to the approach used, such as convenience sampling, as the researchers focused only on a quantitative approach. Hence, future studies can focus on simple random sampling and missed approaches to further enhance the reliability and validity. Keywords: online learning , social media, Covid-19 pandemic. DOI: https://doi.org/10.55463/hkjss.issn.1021-3619.62.31
PENGARUH BUDAYA ORGANISASI, KOMPETENSI DAN FASILITAS TERHADAP KEPUASAN PENGGUNA DI PUSAT PERPUSTAKAAN UNIVERSITAS ISLAM NEGERI (UIN) SYARIF HIDAYATULLAH

User satisfaction is an important topic because it can provide information that can be used by an organization to evaluate its final position. This study aims to determine the effect of organizational culture, competence and facilities on user satisfaction at the Syarif Hidayatullah State Islamic University (UIN) library center. The method used in this research is quantitative research using survey research methods. The quantitative research used in this study is associative in nature with the aim of knowing the relationship between two or more variables, so that it can explain and control a symptom. The results of this study can be interpreted that simultaneously organizational culture, content, and facilities have a significant effect on user satisfaction at the UIN Syarif Hidayatullah Library Center. Partially, organizational culture and facilities have a significant influence on user satisfaction at the Syarif Hidayatullah UIN Library Center, only competence partially has no effect on user satisfaction at the Syarif Hidayatullah UIN Library Center.
MODEL PEMBELAJARAN DICK AND CAREY SERTA IMPLEMENTASINYA DALAM PEMBELAJARAN PAI

Dick and Carey's learning model is a learning model developed through a systems approach. The learning system model developed by Dick and Carey consists of several components that are necessary to design larger learning activities. Dick and Carey include cognitive and behavioristic elements that emphasize students' responses to the stimulus presented. The steps of the Dick and Carey model are 10 systematic steps. This model is suitable to be applied in PAI learning because the stages in this model are detailed and structured so that they can produce better learning and are in accordance with the core competencies in PAI learning, namely mastery of knowledge, attitudes and skills, in addition to PAI learning orientation which is oriented towards human nature, namely the body, mind and spirit that must be maintained in order to achieve balance (tawazun), so that it requires a complete and detailed process of designing learning. This research uses literature research (Library Research). The purpose of this study was to determine the understanding and brief history of the Dick and Carey model, to find out the steps in the Dick and Carey learning design model, to determine the implementation of the Dick and Carey learning model in PAI learning, to determine the advantages and disadvantages of the Dick and Carey design model Carey.
A Study on the Direction of Dokdo Education in University Liberal Arts Education

The purpose of this study is to study the direction of Dokdo education in university liberal arts education. This study collected and analyzed data through a survey of university students. The purpose of Dokdo education is set with the ideology of Dokdo education centered on educated people in the era of the 4th industrial revolution and the goal of Dokdo education centered on forming an identity as an educated person. Considering civic education, convergence education, and history education, the curriculum Dokdo education is organized into type of Dokdo education based on the education values, content of Dokdo education based on the education contents, and organization of Dokdo education based on the education related subjects. The operation of Dokdo education is based on systematic educational support in connection with elementary, secondary schools and educational improvement through horizontal cooperation.
Exploring the Perception of Professional Characteristics and Professionalism of Multicultural Society Expert: Focusing on the Master's Degree Students Who are Completing the 2nd Level Course of Multicultural Society Experts

The purpose of this study is to investigate the perceptions of the job characteristics and expertise regarding multicultural social experts among students currently completing the multicultural social expert course. For this purpose, a questionnaire survey was conducted upon 14 students who were majoring in Korean language education and completing the multicultural social expert course at S University. As a result showed that the unclear identity of the multicultural social expert leads to decreased occupational value and students not recognizing themselves as professionals. Therefore, there is a need to improve the qualification system for multicultural social expert and set their specific roles and treatment in order to allow them to function as professionals with expertise in the field.
Thinking on the Teaching Implementation of "Synthesis and Practice" in Junior Middle School Mathematics Based on Situational Cognition Theory

"Synthesis and practice" is one of the important teaching contents in mathematics curriculum since the new curriculum reform. Through "synthesis and practice" is helpful to improve students' core quality of mathematics. Situational cognitive theory is a learning theory with extensive influence formed in the middle and late 1980s. Through consulting the existing literature, it further expounds the situation on the basis of understanding the situational cognitive theory, and the enlightenment of cognitive theory to the teaching implementation of "synthesis and practice" in junior middle school mathematics. For example, creating real life situation, restoring the essence of mathematics; establishing mathematics learning community cooperative learning; project integrating multiple situation teaching.
UNLOCKING THE SKY

Satellite imagery plays a crucial role in research and development, facilitating advancements in fields such as agriculture monitoring and disaster management. These images, captured through sophisticated systems, are processed using computers to extract valuable information. Machine Learning (ML), a fundamental aspect of artificial intelligence, involves constructing rules based on data. It revolves around creating software applications that access information and use it for self-guided learning. In the context of satellite imagery, Machine Learning algorithms have proven indispensable for analyzing images from various sources, yielding deeper insights. This article explores the utilization of Machine Learning- based image classification techniques to enhance the interpretation of Satellite Imagery. By employing these techniques, the process of classifying objects within satellite images can be improved, leading to more refined and detailed out comes window will be opened for the kids with specialized tools and description.
A Survey of Student Satisfaction in Blended Teaching Based on "Rain Classroom"

In line with the progress and development of the times, educational informatization has become an inevitable trend in the development of education in the new era. Information technology has an immeasurable impact on China's current education development. Tsinghua University has launched an online teaching tool called "Rain Classroom", which has turned mobile phones into a learning tool for students, giving new experiences to the three stages before, during, and after class. The author conducted a questionnaire survey on the learning satisfaction evaluation of 155 students in the School of Physical Education of Sichuan Normal University from 2018 to 2021 who had used the "Rain Classroom" smart teaching platform for social sports. It was found that the overall satisfaction of students in social sports towards Rain Classroom is relatively satisfactory. As a new teaching model, blended learning based on rain classroom support has many innovations, but it also has some problems. The author analyzed the teaching advantages of the Rain Classroom smart platform and various factors that affect students' learning satisfaction through the literature collected in the early stage and the survey results in the later stage. Based on the influencing factors, the author proposed suggestions to enhance students' satisfaction from different aspects, maximizing the advantages of the Rain Classroom smart platform in the teaching process, improving the construction of the "Rain Classroom" smart platform, and improving the teaching quality of online courses in schools, to contribute to the development of educational informatization in China.
Secure Scan -Analysis of Credit Card Fraud Detection Using Machine Learning

Credit Card usage has been drastically increased across the world , now people believe in going cashless and are completely dependent on online transactions .The credit card has made the digital transaction easier and nowadays credit card frauds are drastically increasing in numbers compared to earlier times . A powerful fraud detection system is required to stop these frauds . Fraud detection is the process of monitoring the transaction behaviour of a cardholder to detect whether an incoming transaction is authentic and authorised or not otherwise it will be detected as illicit .Machine learning -based fraud detection systems rely on machine learning algorithms that can be trained with historical data and can perform classification , regression or finding the patterns among the data . Keywords: Credit card machine learning , fraud detection ,historical data, algorithms.
Factors influence the level of career commitment among Vietnamese bankers

The objective of this study is to examine the factors that affect career commitment among employees working in the banking sector. In order to gather data, an online survey was conducted in April 2023, using Google Forms, with a sample size of 300 banking employees from the southern region of Vietnam. The collected data was subsequently subjected to analysis using Cronbach Alpha, exploratory factor analysis, Pearson correlation analysis, and regression techniques. The findings reveal that career commitment among banking employees is influenced by three key factors: job satisfaction, the need for achievement, and organizational commitment. Based on these results, several managerial implications are suggested to enhance the level of career commitment among bankers.
Examining issues surrounding NQF-based university competency-based education system design

This study comprehensively analyzed domestic and overseas cases implementing the National Qualifications Framework (NQF) and explored design issues that could be linked to the competency-based education system of domestic universities. To this end, we suggested the educational system design characteristics of domestic and overseas NQFs and suggest a way to link the results to the design of competency-based education systems in domestic universities. The main research results were that the NQF education system design was analyzed into 5 areas and 11 characteristics, and 3 improvement issues were presented to reflect this in the design of competency-based curriculum in domestic universities. First, there is a need to establish a competency qualification system required by the national-regional level and design a competency-based education system in connection with it. Second, it is necessary to design a curriculum completion system based on the 'competency qualification achievement system' so that learners can achieve their learning goals and acquire competency levels. Moreover, it is necessary to design a completion system so that the learning time required to reach the learning goal is calculated as credits, and learning experiences outside of school can also be recognized as qualifications. Third, it is necessary to establish and implement a system of 'regional governance' for matching industrial talents between universities and companies. In other words, the university is a center that can form various partnerships between the region and companies, and it can nurture local talents.&#x0D; In short, by applying the competency-based education system design issues derived from this study, it is expected to contribute to an educational mechanism that can solve the mismatching of talents between universities and companies by transforming the competency-based education system of domestic universities into a competency qualification system (RQF) linked to regions and industries.
Exploration of principal leadership through “The Records of the Grand Historian” by Sima Qian - Focusing on Xiang Yu and Liu Bang -

The purpose of this study is to explore the principles of school leadership by comparing the characteristics of Xiang Yu (項羽) and Liu Bang (劉邦) as described in Sima Qian's "Records of the Grand Historian" (史記). To achieve this goal, the study examines the leadership types observable in "Records of the Grand Historian" and compares the contrasting leadership styles of Xiang Yu and Liu Bang, ultimately seeking to uncover the leadership qualities required by school principals in today's context. The results are as follows: "Records of the Grand Historian" (史記) depict into the inquiry of attributes of an ideal leader through the descriptions and assessments of historical figures. Consequently, an examination of "Records of the Grand Historian" enables us to explore the value factors that school principals should embody in their leadership. The depiction of a successful leader in "Records of the Grand Historian" (史記) is one who is grounded in humanistic values, has a grand vision, strives to realize the common good of the community, and possesses qualities of active listening and inclusivity. By comparing the contrasting leadership styles of Xiang Yu and Liu Bang, two historical figures featured in "Records of the Grand Historian" (史記) whose leadership stands out most distinctly, and applying these insights to school leadership, the study suggests that school principals should present a vision that aligns with the current situation, listen to and embrace the opinions of the members, and be aware of their own shortcomings while appropriately delegating authority to the teachers.