Reviewerly/exHarmony huggingface dataset:
A virtual restoration network of ancient murals via global–local feature extraction and structural information guidance

Abstract Ancient murals are precious cultural heritages. They suffer from various damages due to man-made destruction and long-time exposure to the environment. It is urgent to protect and restore the damaged ancient murals. Virtual restoration of ancient murals aims to fill damaged mural regions by using modern computer techniques. Most existing restoration approaches fail to fill the loss mural regions with rich details and complex structures. In this paper, we propose a virtual restoration network of ancient murals based on global–local feature extraction and structural information guidance (GLSI). The proposed network consists of two major sub-networks: the structural information generator (SIG) and the image content generator (ICG). In the first sub-network, SIG can predict the structural information and the coarse contents for the missing mural regions. In the second sub-network, ICG utilizes the predicted structural information and the coarse contents to generate the refined image contents for the missing mural regions. Moreover, we design an innovative BranchBlock module that can effectively extract and integrate the local and global features. We introduce a Fast Fourier Convolution (FFC) to improve the color restoration for the missing mural regions. We conduct experiments over simulated and real damaged murals. Experimental results show that our proposed method outperforms other three comparative state-of-the-art approaches in terms of structural continuity, color harmony and visual rationality of the restored mural images. In addition, the mural restoration results of our method can achieve comparatively high quantitative evaluation metrics.
Digital reading of undergraduate students in Vietnamese universities: a focus group study

Purpose The development of digital technology and digital resources have influenced one’s reading habits. This paper aimed to study undergraduate students' reading in digital sphere at universities in Vietnam. Design/methodology/approach A focus group study with 31 undergraduate students of six groups at six public universities was conducted to get their perspectives on reading preference, strategies, effectiveness and psychological factors influencing reading ability. Findings The results confirmed that bachelor students' reading preference for document formats depended on their reading purposes. They used different reading strategies for digital and traditional reading, for instance, keyword searching, taking note, skimming, scanning, need-based reading, selective reading, comparison, evaluation and criticism. Students had faster reading speed for digital texts; however, they had better concentration and memorization in printed documents. When students have motivation, good attitudes and emotion, they could be motivated to read more. Originality/value These findings were useful in enhancing the understanding of digital reading competence and help stakeholders find out solutions to improve reading capacity of Vietnamese students in digital space.
Swimming Upstream in the Academic Library: Exploring Faculty Needs for Library Streaming Media Collections

Objective - To compare Portland State University’s (PSU) local experience of using streaming media to national and international trends identified in a large qualitative study by Ithaka S+R. This comparison will help librarians better understand if the PSU Library is meeting the needs of faculty with its streaming media collection through a series of faculty interviews. Methods and Intervention - Two librarians from PSU participated in a large, collaborative, two-part study conducted by Ithaka S+R in 2022, with 23 other academic institutions in the United States, Canada, and Germany As part of this study, the authors conducted a series of interviews with faculty from PSU’s Social Work and Film Studies departments to gather qualitative data about their use, expectations, and priorities relating to streaming media in their teaching. Ithaka S+R provided guided interview questions, and librarians at PSU conducted interviews with departmental faculty. Local interview responses were compared to the interviews from the other 23 institutions. Results - PSU Library had a higher rate of faculty satisfaction than in the larger survey. Discussions raised concerns around accessibility of content, which was novel to PSU, and did not meaningfully emerge in the broader study. Local findings did line up with broader trends in the form of concerns about cost, discoverability, and lack of diverse content. Conclusions - The data collected by Ithaka S+R’s survey, which was the first part of their two-part study, is useful as it highlights the trends and attitudes of the greater academic library community. However, the second portion of the study’s guided interviews with campus faculty reinforced the importance of accessibility, the Library’s provision of resources, and the relationships between subject liaisons and departmental instructors. It emphasized that Portland State University’s Library has built a good foundation with faculty related to this area but has not been able to provide for every streaming instructional need. Reasons for this include limited acquisitions budgets, constraints of staff time, and market factors.
Security and Risk Management

In the ever-evolving landscape of information security, a solid grasp of Security and Risk Management principles is crucial for professionals in the field. This chapter, the third in our series, aims to explore this essential domain in depth.
HASIL KALI SILANG ω- SUBSEMIRING FUZZY

Fuzzy semirings are one of the results of a combination of semirings and fuzzy sets. Semiring is one of the extensions of the ring. The cross product of two or more semirings gives a semiring. We are motivated to conduct cross-product research on fuzzy semiring based on the condition of cross-product semiring. This paper introduces the direct product of two (more) fuzzy subsemirings. In addition, we investigate the relationship between the cross product of two (more) fuzzy subsemirings and the cross product of two (more) level subsets that are subsemiring
Evaluating knowledge levels of students with a Computerized Adaptive Test

The present study aims to develop and evaluate a CAT system for multiple-choice success tests. In this regard the measurement results obtained from the CAT system based on Item Response Theory (IRT) and the test mode based on the Classical Test Theory (CTT) were compared in terms of the knowledge level of the students, reliability of measurement and number of items. The study was conducted on 873 students from a state-university in Turkey. The research took three years three years and involved three phases. According to the findings of the present study, with the developed CAT system, academic success levels of the students were determined with very high reliability. When all the items in the test were scored according to both constructs, the relationship between the scores obtained was found to be high and meaningful in a positive direction. Moreover, there is a high, positive, significant relationship between students’ levels of knowledge that are estimated in CAT systems and the score of an achievement test they received from a Paper &amp; Pencil test. Finally, the number of questions the students were exposed to in the CAT system was reduced by 50% compared to the test based on the CTT.
The Perception of the Syrian Asylum Seekers in Turkey: Sentiment Analysis with Twitter Data

This study examines the perception of Syrian refugees who have migrated to Turkey within the Turkish public. For this purpose, the reasons for Syrian refugees’ migration to Turkey, their population in Turkey, their distribution in Turkey, their education status and enrollment rates, their working lives, their impact on the economy, the aid provided to them, their impact on public services and security in Turkey were investigated. Subsequently, sentiment analyses were conducted based on machine learning approaches on Twitter to measure the perception of the Turkish public regarding Syrian refugees. Perception was examined in three different dimensions: general perception, the nature of perception, and the reasons behind perception. In this context, tweets related to Syrian refugees posted throughout the year 2021 were collected, pre-processed, and transformed into a format suitable for data mining algorithms. Some of the tweets were manually classified according to the machine learning technique, and the remaining tweets were automatically classified by algorithms determined, taking into account the manually made classifications. As a result, it was determined that the general perception of the Turkish public regarding Syrian refugees on Twitter is largely negative and characterized by ‘discontent’. The main reasons behind this perception were found to be the perceived harm caused by Syrian refugees, their high numbers, and perceptions that they are better off than the locals, primarily due to their refugee and residency rights.
2022 Gauss Prize: Elliott H. Lieb

This article describes the work of Elliott H. Lieb, winner of the 2022 Carl Friedrich Gauss Prize, which was presented by the International Mathematical Union in conjunction with ICM2022. The Gauss Prize honors scientists whose mathematical research has had an impact outside mathematics, whether in technology, in business, or simply in people’s everyday lives.
Challenges of Python Debugging in AI and Machine Learning

In this chapter, you will continue surveying debugging challenges in a different domain. The Python language has established itself as the de facto standard language for many artificial intelligence (AI) and machine learning (ML) projects due to its simplicity and the robustness of its libraries like Pandas, TensorFlow, Keras, PyTorch, and scikit-learn. However, debugging Python code in AI/ML introduces unique challenges due to the interplay of data, models, algorithms, and hardware, which aren’t as prevalent in conventional software development. This chapter surveys some of these challenges.
MLSM: A Metadata Driven Learning Infused Semantics Oriented Model for Web Image Recommendation via Tags

The model proposes image recommendation method by generating tags which is the state of the art in the evolving web 3.0. Proposed model works on the principle of enrichment of queries through topic Modelling and standard knowledge repositories. Data set driven topic synthesis and metadata synthesis by classifying it using Bi-LSTM classifier is the basis for the model. Strong semantic similarity computation measures such as Piyanka index Lance and William index and adaptive pointwise mutual index measures are integrated into the model. An intermediate semantic network is formalized, and Optimization is achieved using the harmonic search algorithm. Proposed MLSM is best among the baseline models with Precision of 94.09% recall of 96.91%.
Humane AI Pin - InnoGlove AI Embrace

This paper initiates an in-depth exploration of the revolutionary Humane AI Pin, with a particular emphasis on scrutinizing the design principles and user experience offered by its associated wearable technology, InnoGlove AI Embrace. The investigation spans a spectrum of critical dimensions, encapsulating ethical considerations, the efficiency of gesture recognition, cultural adaptability, impact assessment, and potential health concerns arising from prolonged usage. By delving into these multifaceted aspects, the research endeavors to furnish invaluable insights into the vast potential of this groundbreaking technology and the far-reaching implications it holds for both individual users and society at large. The comprehensive analysis conducted in this study aspires to contribute substantively to the understanding of the Humane AI Pin, positioning it within the broader context of human-technology interaction.
Design and Implementation of High Speed and Area Optimized Vedic Processor for Embedded Systems

The proposed work on the design and implementation of a High-Speed and Area-Optimized Vedic Processor for Embedded Systems appears promising. Here's an outline that we might find useful for organizing our work. Discuss briefly the growing need for high-performance embedded systems and the crucial role of processors. Summarize prior research on Vedic Processors, highlighting major features and optimizations gained by earlier researchers. The exact Vedic mathematics ideas and sutras that we propose to exploit in our processor design. Detail tactics for obtaining high-speed operations in the CPU, taking into account parallelism, pipelining, and other optimization approaches. As the computational complexity of tiny battery-powered devices develops, this study addresses the need for a fast 16-bit RISC processor. The emphasis is on boosting processor capabilities by integrating a Multiply-Accumulator (MAC) unit based on Vedic mathematics. The inclusion of a new instruction set involves VHDL-based changes to the processor's architecture, to ensure simplicity and total compatibility with the current structure. This study describes an innovative strategy for enhancing the capabilities of modest 16-bit RISC processors by including a Vedic mathematics-based Multiply-Accumulator (MAC) unit. The objective is to improve processor functionality by providing a new instruction set, which will be performed through VHDL-based changes to the CPU's design. The newly designed instruction set keeps its structure basic, ensuring complete compatibility with the previous architecture. A 16-bit pipelined system based on Harvard design has several components in its pipeline, comprising register access, arithmetic execution, front-end logic execution, instruction fetch, and decode. The simulation results demonstrate the validity of the proposed design, demonstrating effective verification and synthesis of the MAC architecture on an FPGA platform.
Sistem Informasi E-Presensi Mahasiswa Menggunakan Qr Code Program Studi Sistem Informasi Universitas Indo Global Mandiri

Technology in these days have grown so fast. Many tools have been designed to make people's lives easier, one of which is quick response codes (QR codes). Qr code is one of the raster codes that is made to help scanning tools to deliver and receive data in a fast way Qr codes are used to support the process of presence database management. The main component of this system is a webcam that acts as a scanner to read QR codes that will be filled by primary key from the student database. To run this website system, it uses hypertext prepocessor (PHP) with framework codeigniter. The result from the test, application system that is done by administrator has succeed and can be run based on the first plan, that is to help the presence process effectively and efficiently.
Modeling of Multivariate Longitudinal Factors on Human Immunodeficiency Virus Infections Cell Counts: Longitudinal Study Design

Background: Modeling of multivariate longitudinal data provides a unique opportunity in studying the joint evolution of multiple response variables over time. This study was modeling of multivariate longitudinal data cell counts on human immunodeficiency virus infections at Gondar districts were used two different multivariate repeated measurement with a kronecker product covariance and random coefficient mixed models. Methods: The study was based on data from 566 per four visits human immunodeficiency virus infections were enrolled in the first 4 visits of the 5-year secondary data with retrospective longitudinal study design. Results: The results revealed that both models of human immunodeficiency virus infections cell counts values of CD4 and CD8 increase over time while hemoglobin decreases over time. Those models results reveals that a strong positive correlation between CD4 and CD8 cells, but the correlation between CD4 and hemoglobin as well as the correlation between CD8 and hemoglobin are not statistically significant at 5% level of significance. Conclusion: According to this study in the early stage of human immunodeficiency virus infections, CD4 and CD8 steadily increase over time while the values of hemoglobin decrease over time. Consequently, the study suggests that concerned bodies should focus on awareness creation to increase cell counts of CD4 and CD8 over time while hemoglobin decrease over time for HIV infections at Gondar districts, Ethiopia. Keywords: HIV Infections; Cell counts; Multivariate longitudinal data; Kronecker product covariance; Random coefficients Abbreviations: CD4 Count: T-Cell Test; CD8 Count: +T-Cell Test; HMG: Hemoglobin Levels; HIV: Human Immunodeficiency Virus; SAS: Statistical Analysis System; AIC: Akaike Information Critical; BIC: Bayesian Information Critical; -2LnL: Likelihood Ratio Test; CS: Compound Symmetry; AR(1): Autoregressive Order One; TOEP: Toeplitz; UN: Unstructured; ICC: Intra-Cluster Correlation; PHID: Patient Health Identification; Proc: Procedure.
Indicators of Complex Urban Geochemical Transformation in Russian Metropolises

This study aimed to identify indicators of complex geochemical changes in urban landscapes in the context of contemporary sedimentation processes. The study was conducted in Russian cities with high anthropogenic pressure, in different climatic and economic zones, and in areas with different geological structures: Nizhny Novgorod, Rostov-on-Don, Murmansk, Tyumen, and Chelyabinsk. The study was based on the hypothesis that recent urban surface-deposited sediments (USDS) reflect changes in geochemical conditions occurring in the urban environment. Therefore, the sampling of environmental compartments participating in the formation of the USDS was conducted in multi-story residential quarters of each city: soil/ground from lawns; dust from sidewalks, driveways, and roads; sediments of local surface-depressed areas of microrelief. The combined analysis of the data on the chemical, mineral, and granulometric composition of the collected samples allowed identifying the following indicators of urban geochemical transformation: the petrogenic and anthropogenic geochemical associations of elements, the granulometric composition, the distribution of elements on granulometric fractions, and the mineral composition.
Hydrothermal alteration mapping using Landsat-8 OLI: Igoudrane region, Imiter inlier, Jbel Saghro, Anti-Atlas, Morocco

The Anti Atlas is the largest structural domain in southern Morocco, and the Igoudrane pluton outcrops at the base of the same-named high volcanic massif, to the east of the Imiter mine. The research region is close to the Imiter mine, a huge underground and open-pit mine located in the northern section of Jbel Saghro's Precambrian basement. It is distinguished by a hydrothermal Ag-Hg deposit linked to an eastwest fault and the deposition of Late Neoproterozoic (550  3Ma) rhyolitic rocks. By using the Landsat-8 OLI sensor, this study intends to map the hydrothermal alteration in the Igoudrane region, Imiter inlier, Jbel Saghro, eastern Anti-Atlas, Morocco. It comprises nine spectral bands (bands 1–7) plus a panchromatic band (15 m) with a spatial resolution of 30 m. Furthermore, Landsat-8 OLI band ratios highlighted areas with ferrous iron using [(B7/B5) + (B3/B4)] BR, the simple ratio MIR-Red Eisenhydroxid index with B7/B4, ferric oxides (B6/B5), the simple ratio red/blue iron oxide B4/B2, and alteration/laterite (B6/B7). In addition, the band ratios applied were classified and revealed the presence of ferrous iron, hydroxides, ferric oxides, iron oxide, and alteration/laterite. As the results show, we notice particularly the presence of ferric oxides within granitoids (granites, tonalites, diorites, monzonites). Overall, the approaches used produced excellent results for mapping alteration zones in similar dry regions.
Infrastructural Facilities and Supervision: Strategies for Effective Management of Nursery Schools in Ika North East

This work focused on the infrastructural facilities and supervision of instruction as strategies for effective management of nursery schools in Ika North East Local Government Area of Delta State. The research design was ex-post-facto. In carrying out the research 180 teachers were selected from 20 nursery school. The instrument used for eliciting information from the respondents was questionnaire titled strategies for effective management questionnaire (SEMQ). The statistical tool employed was the chi-square. Some of the findings of the study revealed that adequate infrastructural facilities lead to effective management of nursery school, effective use of infrastructural facilities lead to effective management of nursery schools and adequate supervision of instruction leads to effective management of nursery schools. The researcher recommended that adequate infrastructural facilities should be made available in schools, because these facilities help to make learning easy and significant, promote meaningful teaching and learning and consequently, promote the standard of education in the country and there should be adequate supervision of instruction in both public and private nursery schools with a view to improve the management of schools.
Cipher block chaining-based color medical image encryption for secure transmission

Research in multimedia security is devoted to medical image encryption. Cipher Block Chaining (CBC), Rotation Operations, and Random Permutations (RaPe) are proposed in this manuscript as a hybrid encryption algorithm for medical images. As a result, the RGB planes are scrambled in specified directions: horizontally, vertically, and diagonally. An exhaustive attack method is effectively protected against decryption utilizing this method since it completely erases the outline of encrypted medical images, blurs the RGB-level matrix distribution properties, and completely erases the outlines of encrypted medical images. The proposed system does not use a transform domain for deploying improved security. Various parameters can be used to test and analyze the medical image in this proposed approach to ensure its security and effectiveness. Utilizing the proposed method as an example of its effectiveness, pragmatic images are selected to demonstrate its practical application in medical image encryption.
The Role of Parents in Improving Early Childhood Literacy Skills

This study aims to determine the role of parents in the development of early childhood literacy at State Kindergarten Pembina Bantul. The study population was parents of students in class A.4 at State Kindergarten Pembina Bantul, totalling 18 people. The sample was taken using total sampling technique. The instrument used was a closed questionnaire. The data analysis technique used percentage descriptive statistics. The results showed that the percentage of the role of parents in the development of early literacy in children aged 4-5 years at State Kindergarten Pembina Bantul was 62.36% (less). The description of each parent's role in early literacy development, Phonological Awareness of 65.83% is in the good category, Vocabulary Skill of 65.18 is in the good category, Print Motivation of 58.07% is in the less category, Print Awareness of 70.83% is in the good category, Letter Knowledge of 56.25% is in the less category, and Narrative Skills of 55.00% is in the less category.