Catalogue Search | MBRL
Are you sure you want to remove the book from the shelf?
{{itemTitle}}
20,712
result(s) for
"Online searching"
Sort by:
Consolidate knowledge or build scientific models? The role of online information-searching strategies in students' prompt sequences with Generative Artificial Intelligence
Discussing with generative artificial intelligence (GAI) has been recognized as a method for obtaining information. Researchers have noticed that students' ability to search, select, and evaluate information (e.g., their online information-searching strategies) may affect the quality of their learning and discussion with GAI. In this study, we conducted an experiment in an online science course to explore the role of online information-searching strategies (OISS) in the process of students discussing with GAI. A total of 46 high school students participated in the study. In the course, students wrote question prompts to the GAI, accessed information provided by the GAI, and composed their science reports. We collected the students' OISS tendency questionnaire, science reports, and the question prompt content they wrote to GAI. According to the results, students with higher OISS outperformed those with lower OISS in terms of content accuracy and logical descriptions in their science reports. The ordered network analysis (ONA) results showed a significant difference in the prompting sequences of the two groups of students. Students with higher OISS gradually developed their knowledge models of scientific concepts by organizing information and finding connections or inconsistencies among different types of knowledge. Students with lower OISS strategies focused more on content extension and consolidation of independent expertise. We labeled the higher OISS students as holism learners, while the lower OISS students were labeled as atomism learners. Lastly, the study findings underscore the importance of guiding students to comprehensively structure and synthesize their knowledge within GAI-based learning environments.
Journal Article
Online Information Searching Skills of Business Students
This study investigates the perceived level and sources of learning Online Information Searching (OIS) skills of the students of business studies. The study also explores the differences in the students' searching skill level of information resources, based on their selected personal and academic variables including gender, age, type of university, level of degree and major academic subjects. A cross-sectional survey research method was used to collect data on a self-reporting questionnaire. Business students of undergraduate, graduate and postgraduate levels from 24 public and private sector universities of Lahore, Pakistan were selected through convenient sampling technique. Total population of this study was 114,500. With the margin error of 5% and confidence level of 97%, the sample of this study was 470 students. The study found a satisfactory level of students' searching skills. There was no significant difference in the skills based on various variables like gender, age, type of university and level of degree. However, short courses and training workshops had a positive impact on the level of skills. There is a lack of research on the topic and this paper will fill the gap in existing literature. This study will be helpful for Library Information Service (LIS) academicians, librarians, professional associations and LIS trainers to design and implement training programs for university students in the area of OIS. This study will also be helpful for Higher Education Commission (HEC) national digital library for selection of appropriate databases for business students.
Journal Article
Analyzing the Social Knowledge Construction and Online Searching Behavior of High School Learners During a Collaborative Problem Solving Learning Activity: a Multi-Dimensional Behavioral Pattern Analysis
The present study aims to explore the behavioral patterns of the social knowledge construction process and the online searching behaviors in a collaborative problem solving learning activity for high school students, and further compares the different behavioral patterns of the high- and low-performing teams. A total of 78 high school students from two schools participated. This study applied sequential analysis to analyze the students’ social knowledge construction and online searching behavior from a large amount of screen-recording data. Interestingly, the results indicate that social interaction that is irrelevant to the discussion task is significantly correlated with academic-related discussion content. Reaching a higher cognitive level of social knowledge construction (e.g., reaching agreement or applying newly constructed meaning) contributes to a successful team project. For online searching behavior, the high-performing teams exhibited systematic online searching behavior and concentrated on the task, while the low-performing teams displayed chaotic searching behavior and were distracted from the task at hand, and seemed to rarely propose their searched results or ideas in their discussions. Based on the results, several possible explanations and suggestions are proposed including the need to promote more adaptive motivation and to provide scaffolding for collaborative skills.
Journal Article
Diagnostic yield of exome sequencing in nonobstructive azoospermia
Azoospermia is considered as the most severe form of male infertility. The application value of exome sequencing (ES) in males with non-obstructive azoospermia (NOA) remains unclear. This study aims to review the known genetic causes of NOA and evaluate the diagnostic yield of ES in males diagnosed with idiopathic NOA. We performed a systematic database search in Ovid MEDLINE, EMBASE, CINAHL, Scopus, Cochrane Central Register of Controlled Trials, and Web of Science from database inception to March 2025. Two independent reviewers assessed the literature and included those studies investigating the utility of ES testing in men diagnosed with NOA and fulfilling the eligibility criteria. The pooled diagnostic yield was calculated using single-proportion analysis with random-effects modeling, and confidence intervals (CI) were estimated using the Clopper-Pearson exact method. A total of nine studies were included, and the qualities were assessed to be moderate to high via the modified STARD. Among the cohorts analyzed (nine studies comprising 1,728 individuals with NOA), the overall diagnostic yield of ES testing was 15% (95% CI: 10%-20%; low-certainty evidence). Of the 270 positive cases identified through ES testing, mutations in 262 genes were detected, with AR, TEX11, FANCM, TDRD9, PNLDC1, M1AP, FBXO15, and DMRT1 being the most frequently observed. Among these cases, only 11.11% (5/45) reported successful testicular sperm extraction. The considerable heterogeneity indicates that the pooled prevalence estimates of the diagnostic yield of ES testing in NOA-approximately 15%-may overestimate the true diagnostic rate in the general NOA population. This estimate should thus be interpreted as an average across diverse clinical and methodological contexts, rather than a precise point estimate reflecting a uniform underlying effect. Future research, particularly large-scale studies using standardized protocols, is crucial to generate more accurate, reliable, and generalizable estimates of the diagnostic yield of ES testing in NOA.
Journal Article
Incidence and prevalence of patellofemoral pain: A systematic review and meta-analysis
Patellofemoral pain is considered one of the most common forms of knee pain, affecting adults, adolescents, and physically active populations. Inconsistencies in reported incidence and prevalence exist and in relation to the allocation of healthcare and research funding, there is a clear need to accurately understand the epidemiology of patellofemoral pain.
An electronic database search was conducted, as well as grey literature databases, from inception to June 2017. Two authors independently selected studies, extracted data and appraised methodological quality. If heterogeneous, data were analysed descriptively. Where studies were homogeneous, data were pooled through a meta-analysis.
23 studies were included. Annual prevalence for patellofemoral pain in the general population was reported as 22.7%, and adolescents as 28.9%. Incidence rates in military recruits ranged from 9.7-571.4/1,000 person-years, amateur runners in the general population at 1080.5/1,000 person-years and adolescents amateur athletes 5.1%-14.9% over 1 season. One study reported point prevalence within military populations as 13.5%. The pooled estimate for point prevalence in adolescents was 7.2% (95% Confidence Interval: 6.3%-8.3%), and in female only adolescent athletes was 22.7% (95% Confidence Interval 17.4%-28.0%).
This review demonstrates high incidence and prevalence levels for patellofemoral pain. Within the context of this, and poor long term prognosis and high disability levels, PFP should be an urgent research priority.
CRD42016038870.
Journal Article
Recent Advancements and Challenges of AIoT Application in Smart Agriculture: A Review
As the most popular technologies of the 21st century, artificial intelligence (AI) and the internet of things (IoT) are the most effective paradigms that have played a vital role in transforming the agricultural industry during the pandemic. The convergence of AI and IoT has sparked a recent wave of interest in artificial intelligence of things (AIoT). An IoT system provides data flow to AI techniques for data integration and interpretation as well as for the performance of automatic image analysis and data prediction. The adoption of AIoT technology significantly transforms the traditional agriculture scenario by addressing numerous challenges, including pest management and post-harvest management issues. Although AIoT is an essential driving force for smart agriculture, there are still some barriers that must be overcome. In this paper, a systematic literature review of AIoT is presented to highlight the current progress, its applications, and its advantages. The AIoT concept, from smart devices in IoT systems to the adoption of AI techniques, is discussed. The increasing trend in article publication regarding to AIoT topics is presented based on a database search process. Lastly, the challenges to the adoption of AIoT technology in modern agriculture are also discussed.
Journal Article
Search Personalization Using Machine Learning
Firms typically use query-based search to help consumers find information/products on their websites. We consider the problem of optimally ranking a set of results shown in response to a query. We propose a personalized ranking mechanism based on a user’s search and click history. Our machine-learning framework consists of three modules: (a) feature generation, (b) normalized discounted cumulative gain–based LambdaMART algorithm, and (c) feature selection wrapper. We deploy our framework on large-scale data from a leading search engine using Amazon EC2 servers and present results from a series of counterfactual analyses. We find that personalization improves clicks to the top position by 3.5% and reduces the average error in rank of a click by 9.43% over the baseline. Personalization based on short-term history or within-session behavior is shown to be less valuable than long-term or across-session personalization. We find that there is significant heterogeneity in returns to personalization as a function of user history and query type. The quality of personalized results increases monotonically with the length of a user’s history. Queries can be classified based on user intent as transactional, informational, or navigational, and the former two benefit more from personalization. We also find that returns to personalization are negatively correlated with a query’s past average performance. Finally, we demonstrate the scalability of our framework and derive the set of optimal features that maximizes accuracy while minimizing computing time.
This paper was accepted by Juanjuan Zhang, marketing.
Journal Article
Virtual reality relaxation for the general population: a systematic review
PurposeRelaxation has significant restorative properties and implications for public health. However, modern, busy lives leave limiting time for relaxation. Virtual reality (VR) experiences of pleasant and calming virtual environments, accessed with a head-mounted display (HMD), appear to promote relaxation. This study aimed to provide a systematic review of feasibility, acceptability, and effectiveness of studies that use VR to promote relaxation in the general population (PROSPERO 195,804).MethodsWeb of Science, PsycINFO, Embase, and MEDLINE were searched until 29th June 2020. Studies were included in the review if they used HMD technology to present virtual environments that aimed to promote or measure relaxation, or relaxation-related variables. The Effective Public Health Practice Project (EPHPP) quality assessment tool was used to assess methodological quality of studies.Results6403 articles were identified through database searching. Nineteen studies published between 2007 and 2020, with 1278 participants, were included in the review. Of these, thirteen were controlled studies. Studies predominantly used natural audio-visual stimuli to promote relaxation. Findings indicate feasibility, acceptability, and short-term effectiveness of VR to increase relaxation and reduce stress. Six studies received an EPHPP rating of ‘strong’, seven were ‘moderate’, and six were ‘weak’.ConclusionsVR may be a useful tool to promote relaxation in the general population, especially during the COVID-19 pandemic, when stress is increasing worldwide. However, methodological limitations, such as limited randomised controlled trials and longer-term evidence, mean that these conclusions should be drawn with caution. More robust studies are needed to support this promising area of VR relaxation.
Journal Article
Preliminary guideline for reporting bibliometric reviews of the biomedical literature (BIBLIO): a minimum requirements
Background
A bibliometric review of the biomedical literature could be essential in synthesizing evidence if thoroughly conducted and documented. Although very similar to review papers in nature, it slightly differs in synthesizing the data when it comes to providing a pile of evidence from different studies into a single document. This paper provides a preliminary guideline for reporting bibliometric reviews of the biomedical literature (BIBLIO).
Methods
The BIBLIO was developed through two major processes: literature review and the consensus process. The BIBLIO started with a comprehensive review of publications on the conduct and reporting of bibliometric studies. The databases searched included PubMed, Scopus, Web of Sciences, and Cochrane Library. The process followed the general recommendations of the EQUATOR Network on how to develop a reporting guideline, of which one fundamental part is a consensus process. A panel of experts was invited to identify additional items and was asked to choose preferred options or suggest another item that should be included in the checklist. Finally, the checklist was completed based on the comments and responses of the panel members in four rounds.
Results
The BIBLIO includes 20 items as follows: title (2 items), abstract (1 item), introduction/background (2 items), methods (7 items), results (4 items), discussion (4 items). These should be described as a minimum requirements in reporting a bibliometric review.
Conclusions
The BIBLIO for the first time provides a preliminary guideline of its own kind. It is hoped that it could contribute to the transparent reporting of bibliometric reviews. The quality and utility of BIBILO remain to be investigated further.
Journal Article