Information management

The study conducted at the International Islamic University Chittagong (IIUC) in Bangladesh delves into the intricate process of implementing the Islamization of knowledge. It meticulously traces the historical roots and evolutionary path of this concept, exploring its various paradigms and practical applications within the specific context of IIUC. The research aptly identifies both the promising opportunities and the formidable challenges that IIUC may encounter during the Islamization of knowledge endeavor. Furthermore, the study provides valuable recommendations to surmount these challenges effectively. In essence, the study concludes that IIUC possesses the potential to successfully infuse Islamic values and principles into diverse fields of study. By embracing the concept of Islamization of knowledge and its practical application, IIUC can play a pivotal role in addressing the societal demands and difficulties while simultaneously upholding its commitment to Islamic values. This research not only contributes to the academic discourse on Islamization of knowledge but also offers a practical roadmap for institutions like IIUC to harmonize tradition with modernity in an increasingly complex world.

The purpose of the study is to describe and analyze the present condition of digital preservation of institutional publications in the libraries of higher educational institutions especially in public universities of Bangladesh. It describes the authors' observations regarding the preservation of institutional publications in public university libraries. To explain the situation, university repository sites and literatures were reviewed, librarians were interviewed and finally primary and secondary data were collected from the repository administrators of seven public university libraries in Bangladesh where digital preservations are made through IRs. DSpace, the open source institutional repository software is adopted in these university libraries for the digital preservation because of its user friendly and effective modules. This paper will help library professionals to choose the Open Source. IRs. DSpace, the open source institutional repository software is adopted in these university libraries for the digital preservation because of its user friendly and effective modules. This paper will help library professionals to choose the Open Source The study identified some challenges to establish IR software for open access to digital preservation and finally recommended suggestions to overcome the issues.

Purpose
The goal of this paper is to examine the literature published on information literacy (IL) between 2017 and 2021 and reveal the most important trends in IL publication.
Design/methodology/approach
Scopus database was used to analyze specific aspects of publishing trends by looking at the literature indexed from 2017 to 2021 in the field of IL.
Findings
In 2017, there was a significant increase in the number of citations to IL-related literature. In addition to "Janes-Jang SM" and the "College and Research Libraries," they were both prolific authors and sources. Most articles were published in the Journal of Academic Librarianship (97)
during this time period. The United States was the most generous donor. Research in the IL field has recently focused on "information literacy," "academic libraries," "library instruction," and "assessment."
Originality/value:
Researchers can use the paper to learn about current trends in the literature on IL, as well as possible areas for further study, and it provides the names of the most productive authors, organizations, and countries, as well as the most popular IL keywords.

This study evaluated the performance of the central library at International Islamic University Chittagong in Bangladesh and tried to measure the operational process of "Koha open source integrated library system (ILS)" at IIUC, Bangladesh by using primary and secondary data sources. The study finds that the Koha open source is successfully used for the daily library activities and it adds a distinctive value for ensuring quality University education at IIUC for engaging ILS. To measure the satisfaction level of users, a total of 68 users were interviewed with a questionnaire-based survey. Users were asked what automation services they like most and to rate their opinion on the specific library services on a five-point Likert scale. User status computed the users' response to overall satisfaction through ANOVA. The finding shows the overall satisfaction ensured favorable appreciation by the library users. The largest group 60.3% is satisfied with the circulation process with koha. In rating automation system the largest group of 54.4% had 'Excellent', 29.4% rates 'very good' and 14.7% rates it 'good'. This study assists the decision makers to give more values to the core library activities and also give inspiration to other university libraries in Bangladesh. Besides, this study will help the management of the private university libraries in setting up plans and technological strategies.

Inappropriate use of antimicrobials in the treatment of Covid-19 can result in patient harm and worldwide antimicrobial resistance. The study's objective was to explore the physician choices of empirical antimicrobial treatment in Covid19Patients. A multicenter web-based survey was performed to explore the trend of empirical antimicrobial prescribing reported by physicians involved in Covid-19 care from June to December 2021. A questionnaire linked to a Google form was
distributed via several online platforms to physicians working in the Covid specialist unit of tertiary care hospitals in Chittagong, Bangladesh. The questionnaire was distributed to 120 physicians, and 74 (89%) responded to the survey.
According to 69% (n=51) of participants, there was no local antimicrobial guideline in the hospital. Almost half of the physicians (87%, n=64) mentioned that the severity of the condition was the most crucial component in starting antimicrobials. The majority of participants considered empirical antimicrobial coverage for Pseudomonas aeruginosa (68%, n=51), Klebsiella pneumonia (65%, n=48), and Streptococcus pneumoniae (57%, n=49). Meropenem and ceftriaxone were the most common antimicrobials prescribed in Patients in the Covid ward, reported by 54% (n=40) and 41% (n=30) participants, respectively. ICU patients' most commonly prescribed antimicrobials were Meropenem (84%, n=62) and Piperacillin/tazobactam (42%, n=31). According to 67% (n=49) of participants, the average length of antimicrobial
treatment was seven days. The survey suggests that physicians' selections of empirical antimicrobials for COVID patients were predominantly broad-spectrum. An initial lack of national COVID management guidelines and the overall inadequacy of regional or hospitalized-based antimicrobial guidelines are the confounding factors behind antimicrobial overprescribing. The study findings can be utilized to design interventions for effective antimicrobial stewardship, allowing physicians to prescribe
appropriately.

ABSTＲACT In the past one hundred years，China's librarianship has developed and thrived from scratch and has been widely accepted as an independent discipline within the academia，owing to the strenuous efforts made by generations of Chinese library scholars． One of the best ways to pay tribute to these great predecessors is to inherit their academic legacy and study their lives and thoughts． China's library scholar research commenced in the 1930s and has a history of over 80 years． Summarizing the 80 years' history contributes to promoting the study of library scholars，deepening the discipline memory of Library Science and carrying forward the library spirit． In this article，the Chinese library scholars refer to the scholars who were born in China and received the professional education in Library Science， and those foreigners who made great contributions to modern China's librarianship(such as Mary Elizabeth Wood) ． With regard to research perspective，the author chooses only the research results done from the perspective of Library Science，therefore it should be pointed out that for Liu Yizheng，Wang Xiantang and other scholars who have rich library work experience but whose main research field is not Library Science，this paper only concerns their research from the perspective of Library Science． In terms of regions， the paper mainly selects relevant research results in inland of China; Hong Kong and Taiwan and overseas research，although involved，is not elaborated on． Because of the large number of people involved in the study of Library 031 / Email/ weizhaizhuren@ 163． com OＲCID/ 0000 － 0003 － 3883 － 2382f Correspondence should be addressed to XIE Huan Email/ weizhaizhuren@ 163． com OＲCID/ 0000 － 0003 － 3883 － 2382L

The traditional security risk monitoring technology cannot adapt to cyber-physical power systems (CPPS) concerning evaluation criteria, real-time monitoring, and technical reliability. The aim of this paper is to propose and implement a log analysis architecture for CPPS to detect the log anomalies, which introduces the distributed streaming processing mechanism. The processing mechanism can train the network protocol feature database precisely over the big data platform, which improves the efficiency of the network in terms of log anomaly detection. Moreover, we propose an ensemble prediction algorithm based on time series (EPABT) considering the characteristics of the statistical log analysis to predict abnormal features during the network traffic analysis. We then present a new asymmetric error cost (AEC) evaluation criterion to meet the characteristics of CPPS. The experimental results demonstrate that the EPABT provides an efficient tool for detecting the accuracy and reliability of abnormal situation prediction as compared with the several state-of-the-art algorithms. Meanwhile, the AEC can effectively evaluate the differences in the cost between the high and low prediction results. To the best of our knowledge, these two algorithms provide strong support for the practical application of power industrial network security risk monitoring.

Personal health records (PHRs) are private and vital assets for every patient. There have been introduced many works on various aspects of managing and organizing the PHR so far. However, there is an uncertain remaining issue for the role of PHR in emergencies. In a traditional emergency access system, the patient cannot give consent to emergency staff for accessing his/her PHR. Moreover, there is no secured record management of patient's PHR, which reveals highly confidential personal information, such as what happened, when, and who has access to such information. This paper proposes an emergency access control management system (EACMS) based on permissioned blockchain hyperledger fabric and hyperledger composer. In the proposed system, we defined some rules using the smart contracts for emergency condition and time duration for the emergency access PHR data items that patient can assign some limitations for controlling the PHR permissions. We analyzed the performance of our proposed framework by implementing it through the hyperledger composer based on the response time, privacy, security, and accessibility. The experiments confirm that our framework provides better efficiency compared with the traditional emergency access system. INDEX TERMS Personal health record, emergency access, access authorization, blockchain, hyperledger fabric, hyperledger composer, privacy & security.

Modern text hiding is an intelligent programming technique which embeds a secret message/watermark into a cover text message/file in a hidden way to protect confidential information. Recently, text hiding in the form of watermarking and steganography has found broad applications in, for instance, covert communication, copyright protection, content authentication, etc. In contrast to text hiding, text steganalysis is the process and science of identifying whether a given carrier text file/message has hidden information in it, and, if possible, extracting/detecting the embedded hidden information. This paper presents an overview of state of the art of the text hiding area, and provides a comparative analysis of recent techniques, especially those focused on marking structural characteristics of digital text message/file to hide secret bits. Also, we discuss different types of attacks and their effects to highlight the pros and cons of the recently introduced approaches. Finally, we recommend some directions and guidelines for future works.

Genetic Programming (GP) is an intelligence technique whereby computer programs are encoded as a set of genes which are evolved utilizing a Genetic Algorithm (GA). In other words, the GP employs novel optimization techniques to modify computer programs; imitating the way humans develop programs by progressively rewriting them for solving problems automatically. Trial programs are frequently altered in the search for obtaining superior solutions due to the base is GA. These are evolutionary search techniques inspired by biological evolution such as mutation, reproduction, natural selection, recombination, and survival of the fittest. The power of GAs is being represented by an advancing range of applications; vector processing, quantum computing, VLSI circuit layout, and so on. But one of the most significant uses of GAs is the automatic generation of programs. Technically, the GP solves problems automatically without having to tell the computer specifically how to process it. To meet this requirement, the GP utilizes GAs to a "population" of trial programs, traditionally encoded in memory as tree-structures. Trial programs are estimated using a "fitness function" and the suited solutions picked for re-evaluation and modification such that this sequence is replicated until a "correct" program is generated. GP has represented its power by modifying a simple program for categorizing news stories, executing optical character recognition, medical signal filters, and for target identification, etc. This paper reviews existing literature regarding the GPs and their applications in different scientific fields and aims to provide an easy understanding of various types of GPs for beginners.

Nowadays, a huge number of images are available. However, retrieving a required image for an ordinary user is a challenging task in computer vision systems. During the past two decades, many types of research have been introduced to improve the performance of the automatic annotation of images, which are traditionally focused on content-based image retrieval. Although, recent research demonstrates that there is a semantic gap between content-based image retrieval and image semantics understandable by humans. As a result, existing research in this area has caused to bridge the semantic gap between low-level image features and high-level semantics. The conventional method of bridging the semantic gap is through the automatic image annotation (AIA) that extracts semantic features using machine learning techniques. In this paper, we propose a novel AIA model based on the deep learning feature extraction method. The proposed model has three phases, including a feature extractor, a tag generator, and an image annotator. First, the proposed model extracts automatically the high and low-level features based on dual tree continues wavelet transform (DT-CWT), singular value decomposition, distribution of color ton, and the deep neural network. Moreover, the tag generator balances the dictionary of the annotated keywords by a new log-entropy auto-encoder (LEAE) and then describes these keywords by word embedding. Finally, the annotator works based on the long-short-term memory (LSTM) network in order to obtain the importance degree of specific features of the image. The experiments conducted on two benchmark datasets confirm that the superiority of proposed model compared to the previous models in terms of performance criteria.

With the ceaseless usage of web and other online services, it has turned out that copying, sharing, and transmitting digital media over the Internet are amazingly simple. Since the text is one of the main available data sources and most widely used digital media on the Internet, the significant part of websites, books, articles, daily papers, and so on is just the plain text. Therefore, copyrights protection of plain texts is still a remaining issue that must be improved in order to provide proof of ownership and obtain the desired accuracy. During the last decade, digital watermarking and steganography techniques have been used as alternatives to prevent tampering, distortion, and media forgery and also to protect both copyright and authentication. This paper presents a comparative analysis of information hiding techniques, especially on those ones which are focused on modifying the structure and content of digital texts. Herein, various text watermarking and text steganography techniques characteristics are highlighted along with their applications. In addition, various types of attacks are described and their effects are analyzed in order to highlight the advantages and weaknesses of current techniques. Finally, some guidelines and directions are suggested for future works.

With the popularity of smartphones and widespread use of high-speed Internet, social media has become a vital part of people's daily life. Currently, text messages are used in many applications, such as mobile chatting, mobile banking, and mobile commerce. However, when we send a text message via short message service (SMS) or social media, the information contained in the text message transmits as a plain text, which exposes it to attacks. In some cases, this information may be confidential, such as banking credentials, secret missions, and confidential appointments; moreover, it is a major drawback to send such information via SMS or social media, as neither provides security before transmission. In this paper, we propose a novel text steganography technique called AITSteg, which provides end-to-end security during the transmission of text messages via SMS or social media between end users. The AITSteg technique is evaluated by considering a trusted scenario. We then evaluate the efficiency of the proposed technique in terms of embedding capacity, invisibility, robustness, and security. The experiments confirm that the AITSteg is able to prevent various attacks, including man-in-the-middle attacks, message disclosure, and manipulation by readers. Moreover, we compare the experimental results with the existing techniques to show the superiority of the proposed technique. To the best of our knowledge, this is the first text steganography technique that provides end-to-end secure transmission of the text message using symmetric keys via social media.

Nowadays, the usage of smartphones and their applications have become rapidly popular in people's daily life. Over the last decade, availability of mobile money services such as mobile-payment systems and app markets have significantly increased due to the different forms of apps and connectivity provided by mobile devices, such as 3G, 4G, GPRS, and Wi-Fi, etc. In the same trend, the number of vulnerabilities targeting these services and communication networks has raised as well. Therefore, smartphones have become ideal target devices for malicious programmers. With increasing the number of vulnerabilities and attacks, there has been a corresponding ascent of the security countermeasures presented by the researchers. Due to these reasons, security of the payment systems is one of the most important issues in mobile payment systems. In this survey, we aim to provide a comprehensive and structured overview of the research on security solutions for smartphone devices. This survey reviews the state of the art on security solutions, threats, and vulnerabilities during the period of 2011-2017, by focusing on software attacks, such those to smartphone applications. We outline some countermeasures aimed at protecting smartphones against these groups of attacks, based on the detection rules, data collections and operating systems, especially focusing on open source applications. With this categorization, we want to provide an easy understanding for users and researchers to improve their knowledge about the security and privacy of smartphones.

Blockchain technology is the most trusted all-in-one cryptosystem that provides a framework for securing transactions over networks due to its irreversibility and immutability characteristics. Blockchain network, as a decentralized infrastructure, has drawn the attention of various startups, administrators, and developers. This system preserves transactions from tampering and provides a tracking tool for tracing past network operations. A personal health record (PHR) system permits patients to control and share data concerning their health conditions by particular peoples. In the case of an emergency, the patient is unable to approve the emergency staff access to the PHR. Furthermore, a history record management system of the patient’s PHR is required, which exhibits hugely private personal data (e.g., modification date, name of user, last health condition, etc.). In this paper, we suggest a healthcare management framework that employs blockchain technology to provide a tamper prote...