Search

Digital heritage portal interfaces are generally similar to digital library and search engine interfaces in displaying search results as a list of brief metadata records. The knowledge organization and search result display of these systems are item-centric, with little support for identifying relationships between items. This paper proposes a knowledge graph system and visualization interface as a promising solution for digital heritage systems to support users in browsing related items, understanding the relationships between items, and synthesizing a narrative on an issue. The paper discusses design issues for the knowledge graph, graph database, and graph visualization, and offers recommendations based on the authors' experience in developing three knowledge graph systems for archive and digital humanities resources: the Zubir Said personal archive collection at the Nanyang Academy of Fine Arts, Singapore; Singapore Pioneers social network; and Polyglot Medicine knowledge graph of Asian traditional and herbal medicine. Lessons learned from a small user study are incorporated in the discussion. [ABSTRACT FROM AUTHOR]

This study discusses the importance of the DSpace open-source software that supports numerous digital libraries and repositories around the world. With the release of DSpace version 7, a natural question that arises is whether the new version offers enough new functionalities to motivate system administrators to upgrade. This paper briefly describes the most important changes, including new features and bug fixes, included in DSpace 7.4 and prior minor versions. The next parts of this paper explore our estimate that there are several thousand DSpace-based systems globally that will likely have to be upgraded in the near future. The main reason for this need is that older versions of DSpace (including 5.x) have reached the end of their developer support period or are reaching it in mid-2023. Based on our own upgrade experience, we propose suggestions and recommendations on migrating from the previous DSpace 6.3-based environment to the new one in a case study that concludes this article. [ABSTRACT FROM AUTHOR]

Background: In today's digital age, patients increasingly rely on online search engines for medical information. The integration of large language models such as GPT-4 into search engines such as Bing raises concerns over the potential transmission of misinformation when patients search for information online regarding spine surgery. Methods: SearchResponse.io, a database that archives People Also Ask (PAA) data from Google, was utilized to determine the most popular patient questions regarding 4 specific spine surgery topics: anterior cervical discectomy and fusion, lumbar fusion, laminectomy, and spinal deformity. Bing's responses to these questions, along with the cited sources, were recorded for analysis. Two fellowship-trained spine surgeons assessed the accuracy of the answers on a 6-point scale and the completeness of the answers on a 3-point scale. Inaccurate answers were re-queried 2 weeks later. Cited sources were categorized and evaluated against Journal of the American Medical Association (JAMA) benchmark criteria. Interrater reliability was measured with use of the kappa statistic. A linear regression analysis was utilized to explore the relationship between answer accuracy and the type of source, number of sources, and mean JAMA benchmark score. Results: Bing's responses to 71 PAA questions were analyzed. The average completeness score was 2.03 (standard deviation [SD], 0.36), and the average accuracy score was 4.49 (SD, 1.10). Among the question topics, spinal deformity had the lowest mean completeness score. Re-querying the questions that initially had answers with low accuracy scores resulted in responses with improved accuracy. Among the cited sources, commercial sources were the most prevalent. The JAMA benchmark score across all sources averaged 2.63. Government sources had the highest mean benchmark score (3.30), whereas social media had the lowest (1.75). Conclusions: Bing's answers were generally accurate and adequately complete, with incorrect responses rectified upon re-querying. The plurality of information was sourced from commercial websites. The type of source, number of sources, and mean JAMA benchmark score were not significantly correlated with answer accuracy. These findings underscore the importance of ongoing evaluation and improvement of large language models to ensure reliable and informative results for patients seeking information regarding spine surgery online amid the integration of these models in the search experience. [ABSTRACT FROM AUTHOR]

Purpose: Patients and caregivers impacted by myelomeningocele (MMC) use online discussion board forums to create community and share information and concerns about this complex medical condition. We aim to identify the primary concerns expressed on these forums with the goal of understanding gaps in care that may merit investment of resources to improve care received by this population. Methods: Anonymous posts from online MMC discussion boards were compiled using internet search engines. Posts were then analyzed using an adaptation of the Grounded Theory Method, a three-step system involving open, axial, and selective coding of the data by two independent researchers to identify common themes. Results: Analysis of 400 posts written primarily by parents (n = 342, 85.5%) and patients (n = 45, 11.25%) yielded three overarching themes: questions surrounding quality of life, a lack of support for mothers of children with MMC, and confusion with a complex healthcare system. Many posts revealed concerns about management and well-being with MMC, including posts discussing symptoms and related conditions (n = 299, 75.75%), treatments (n = 259, 65.75%), and emotional aspects of MMC (n = 146, 36.5%). Additionally, families, especially mothers, felt a lack of support in their roles as caregivers. Finally, in 118 posts (29.5%), patients and families expressed frustration with navigating a complex healthcare system and finding specialists whose opinions they trusted. Conclusions: MMC is a complex medical condition that impacts patients and families in unique ways. Analysis of online discussion board posts identified key themes to be addressed in order to improve the healthcare experiences of those impacted by MMC. [ABSTRACT FROM AUTHOR]

The development of the Internet, though it brings many benefits, it also brings threats to rights and freedoms and the right to privacy is usually its 'prey'. Internet search engines are one of the most important factors that shape the web. The establishment of the right to be forgotten as an element allowing to profile one's image on the web was a milestone in granting protection in the on-line world. The problem of the autocomplete function stays on the margin of mainstream discussions. This function, seemingly only technical, in practice affects web traffic directions. This article presents the impact of the autocomplete function on privacy and a discussion on whether this impact is significant enough for relevant protection mechanisms to be necessary. The research aim is to answer the following question: should the right to control the autocomplete function be protected and if yes, on what terms? [ABSTRACT FROM AUTHOR]

The revolution of the Internet of Things (IoT) and the Web of Things (WoT) has brought new opportunities and challenges for the information retrieval (IR) field. The exponential number of interconnected physical objects and real-time data acquisition requires new approaches and architectures for IR systems. Research and prototypes can be crucial in designing and developing new systems and refining architectures for IR in the WoT. This paper proposes a unified and holistic approach for IR in the WoT, called IR.WoT. The proposed system contemplates the critical indexing, scoring, and presentation stages applied to some smart cities' use cases and scenarios. Overall, this paper describes the research, architecture, and vision for advancing the field of IR in the WoT and addresses some of the remaining challenges and opportunities in this exciting area. The article also describes the design considerations, cloud implementation, and experimentation based on a simulated collection of synthetic XML documents with technical efficiency measures. The experimentation results show promising outcomes, whereas further studies are required to improve IR.WoT effectiveness, considering the WoT dynamic characteristics and, more importantly, the heterogeneity and divergence of WoT modeling proposals in the IR domain. [ABSTRACT FROM AUTHOR]

Purpose: The aim of this study was to examine the hearing health care experience of satisfied and dissatisfied consumers as reported on Google reviews. Method: Using qualitative thematic analysis, open-text responses from Google regarding hearing health care clinics across 40 U.S. cities were examined. During the original search, 13,168 reviews were identified. Purposive sampling led to a total of 8,420 five-star reviews and 321 one-star reviews. The sample consisted of 500 five-star (satisfied) and 234 one-star (dissatisfied) reviews, describing experiences with audiology clinics, excluding reviews related to ear, nose, and throat services; other medical specialties; and those not relevant to hearing health care. Results: Satisfied and dissatisfied consumer reviews yielded nuanced dimensions of the hearing health care consumer experience, which were grouped into distinct domains, themes, and subthemes. Six and seven domains were identified from the satisfied and dissatisfied reviews, encompassing 23 and 26 themes, respectively. The overall experience domain revealed emotions ranging from contentment and gratitude to dissatisfaction and waning loyalty. The clinical outcomes domain highlights the pivotal contribution of well-being and hearing outcomes to the consumer experience, while the standard of care domain underscores shared expectations for punctuality, person-centered care, and efficient communication. Facility quality, professional competence, and inclusive care were also highlighted across positive and negative reviews. Conclusions: Findings indicate dimensions of satisfied and dissatisfied hearing health care consumer experiences, identifying areas for potential service refinement. These consumer experiences inform person-centric service delivery in hearing health care. [ABSTRACT FROM AUTHOR]

Modern communication technologies make information more easily and quickly accessible, leading to more transparent and competitive markets. Based on a theoretical model, this paper provides new empirical evidence on the potential impact of online search intensity on asymmetric cost pass‐through. Prices often move as 'rockets and feathers': they rise quickly in response to cost increases and they fall slowly in response to cost reductions. A panel threshold error correction model is applied to weekly producer and retail prices of chicken and mutton in Iran. The results suggest that the volume of online searches is associated with a more complete and less asymmetric cost pass‐through from farmgate to retail prices. Thus, online platforms and search engines have the potential to increase competition by bringing prices closer together and reducing profit margins. [ABSTRACT FROM AUTHOR]

Background: A challenge when using Google Search to identify studies for a systematic review is managing the high number of results, which can number in the hundreds of thousands or even more. Studies and guidance on web searching suggest limiting the screening process, e.g. to the first 100 results. Objectives: Our objective in this case study is to demonstrate an alternative approach to screening the results retrieved by Google Search which is based on our experience that the viewable number of results is often far fewer than the estimated number calculated by the search engine. Methods: We screened the results of three searches of Google Search using our approach, which involves increasing the number of results displayed per page from 10 to the maximum of 100. We then calculated the viewable number of results and compared this with the estimated number. Results: The mean of the estimated number of results for the three searches was 569,454,000. The mean of the viewable number results was 463 (0.00008% of the mean of the estimated number of results). Conclusion: Our findings challenge the commonly reported view that the number of results retrieved when using Google Search is too high to screen in full. [ABSTRACT FROM AUTHOR]

This study examined the process of coming-out of selected Egyptian gay men using an interactionist sexual identity development model that described this process as a way of creating an identity through interactions with others, rather than independently discovering one's essence. Thematic analysis of these individuals' personal accounts of disclosing sexual identity via social media corroborated this sexual identity development model. Moreover, thematic analysis added cultural depth to this model by highlighting the role of collectivistic values, such as conformity to societal expectations and fear of disrupting family harmony, in creating experiences of regret and selectivity after disclosing sexual identity. Clinical recommendations for mental health professionals who help gay clients navigate the process of coming-out in a collectivistic cultural context are provided. [ABSTRACT FROM AUTHOR]

The 2020 US elections news coverage was extensive, with new pieces of information generated rapidly. This evolving scenario presented an opportunity to study the performance of search engines in a context in which they had to quickly process information as it was published. We analyze novelty, a measurement of new items that emerge in the top news search results, to compare the coverage and visibility of different topics. Using virtual agents that simulate human web browsing behavior to collect search engine result pages, we conduct a longitudinal study of news results of five search engines collected in short bursts (every 21 minutes) from two regions (Oregon, US and Frankfurt, Germany), starting on election day and lasting until one day after the announcement of Biden as the winner. We find more new items emerging for election related queries ("joe biden," "donald trump," and "us elections") compared to topical (e.g., "coronavirus") or stable (e.g., "holocaust") queries. We demonstrate that our method captures sudden changes in highly covered news topics as well as multiple differences across search engines and regions over time. We highlight novelty imbalances between candidate queries which affect their visibility during electoral periods, and conclude that, when it comes to news, search engines are responsible for such imbalances, either due to their algorithms or the set of news sources that they rely on. [ABSTRACT FROM AUTHOR]

Implicit and explicit gender biases in media representations of individuals have long existed. Women are less likely to be represented in gender-neutral media content (representation bias), and their face-to-body ratio in images is often lower (face-ism bias). In this article, we look at representativeness and face-ism in search engine image results. We systematically queried four search engines (Google, Bing, Baidu, Yandex) from three locations, using two browsers and in two waves, with gender-neutral (person, intelligent person) and gendered (woman, intelligent woman, man, intelligent man) terminology, accessing the top 100 image results. We employed automatic identification for the individual's gender expression (female/male) and the calculation of the face-to-body ratio of individuals depicted. We find that, as in other forms of media, search engine images perpetuate biases to the detriment of women, confirming the existence of the representation and face-ism biases. In-depth algorithmic debiasing with a specific focus on gender bias is overdue. [ABSTRACT FROM AUTHOR]

Studies on the prognostic value of the blood 25-hydroxyvitamin D level have yielded controversial results in prostate cancer (PCa) patients. This updated meta-analysis aimed to evaluate the association between pretreatment 25-hydroxyvitamin D level with survival outcomes among patients with clinically localized PCa. PubMed, Web of Science, and Embase databases were searched to identify studies evaluating the association of pretreatment 25-hydroxyvitamin D level with PCSM and all-cause mortality among clinically localized PCa patients. Ten cohort studies with 10,394 patients were identified. The meta-analysis revealed that PCa patients with the lowest 25-hydroxyvitamin D levels had an increased risk of PCSM (adjusted hazard ratio [HR] 1.52; 95% confidence interval [CI] 1.26-1.83; p < 0.001) and all-cause mortality (adjusted HR 1.31; 95% CI 1.00-1.90; p = 0.047) compared to those with higher reference 25-hydroxyvitamin D level. Subgroup analyses based on different sample sizes, follow-up duration, and adjusted times of blood draw also exhibited a significant association of vitamin D deficiency with the risk of PCSM. Lower pretreatment level of 25-hydroxyvitamin D may be an independent predictor of reduced survival in patients with clinically localized PCa. Measuring the pretreatment blood 25-hydroxyvitamin D level can provide valuable information for risk stratification of survival outcomes in these patients. [ABSTRACT FROM AUTHOR]

It is tempting to assume that because effectiveness metrics have free choice to assign scores to search engine result pages (SERPs) there must thus be a similar degree of freedom as to the relative order that SERP pairs can be put into. In fact that second freedom is, to a considerable degree, illusory. That is because if one SERP in a pair has been given a certain score by a metric, fundamental ordering constraints in many cases then dictate that the score for the second SERP must be either not less than, or not greater than, the score assigned to the first SERP. We refer to these fixed relationships as innate pairwise SERP orderings. Our first goal in this work is to describe and defend those pairwise SERP relationship constraints, and tabulate their relative occurrence via both exhaustive and empirical experimentation. We then consider how to employ such innate pairwise relationships in IR experiments, leading to a proposal for a new measurement paradigm. Specifically, we argue that tables of results in which many different metrics are listed for champion versus challenger system comparisons should be avoided; and that instead a single metric be argued for in principled terms, with any relationships identified by that metric then reinforced via an assessment of the innate relationship as to whether other metrics are likely to yield the same system‐versus‐system outcome. [ABSTRACT FROM AUTHOR]

In this work, we present the frontend of GeoMine and showcase its application, focusing on the new features of its latest version. GeoMine is a search engine for ligand-bound and predicted empty binding sites in the Protein Data Bank. In addition to its basic text-based search functionalities, GeoMine offers a geometric query type for searching binding sites with a specific relative spatial arrangement of chemical features such as heavy atoms and intermolecular interactions. In contrast to a text search that requires simple and easy-to-formulate user input, a 3D input is more complex, and its specification can be challenging for users. GeoMine's new version aims to address this issue from the graphical user interface perspective by introducing an additional visualization concept and a new query template type. In its latest version, GeoMine extends its query-building capabilities primarily through input formulation in 2D. The 2D editor is fully synchronized with GeoMine's 3D editor and provides the same functionality. It enables template-free query generation and template-based query selection directly in 2D pose diagrams. In addition, the query generation with the 3D editor now supports predicted empty binding sites for AlphaFold structures as query templates. GeoMine is freely accessible on the ProteinsPlus web server (https://proteins.plus). [ABSTRACT FROM AUTHOR]

Background: The growth of medical knowledge and patient care complexity calls for improved clinician access to evidence-based resources. This study aimed to explore the primary care clinicians' preferences for, barriers to, and facilitators of information-seeking in clinical practice in Singapore. Methods: A convenience sample of ten doctors and ten nurses was recruited. We conducted semi-structured face-to-face in-depth interviews. The interviews were recorded, transcribed verbatim, and analysed using thematic content analysis. Results: Of the 20 participants, eight doctors and ten nurses worked at government-funded polyclinics and two doctors worked in private practice. Most clinicians sought clinical information daily at the point-of-care. The most searched-for information by clinicians in practice was less common conditions. Clinicians preferred evidence-based resources such as clinical practice guidelines and UpToDate®. Clinical practice guidelines were mostly used when they were updated or based on memory. Clinicians also commonly sought answers from their peers. Furthermore, clinicians frequently use smartphones to access the Google search engine and UpToDate® app. The barriers to accessing clinical information included the lack of time, internet surfing separation of work computers, limited search functions in the organisation's server, and limited access to medical literature databases. The facilitators of accessing clinical information included convenience, easy access, and trustworthiness of information sources. Conclusion: Most primary care clinicians in our study sought clinical information at the point-of-care daily and reported increasing use of smartphones for information-seeking. Future research focusing on interventions to improve access to credible clinical information for primary care clinicians at the point-of-care is recommended. Trial registration: This study has been reviewed by NHG Domain Specific Review Board (NHG DSRB) (the central ethics committee) for ethics approval. NHG DSRB Reference Number: 2018/01355 (31/07/2019). [ABSTRACT FROM AUTHOR]

People rely on search engines for information in critical contexts, such as public health emergencies–but what makes people trust some search results more than others? Can search engines influence people's levels of trust by controlling how information is presented? And, how does the presence of misinformation influence people's trust? Research has identified both rank and the presence of misinformation as factors impacting people's search behavior. Here, we extend these findings by measuring the effects of these factors, as well as misinformation warning banners, on the perceived trustworthiness of individual search results. We conducted three online experiments (N = 3196) using Covid-19-related queries, and found that although higher-ranked results are clicked more often, they are not more trusted. We also showed that misinformation does not damage trust in accurate results displayed below it. In contrast, while a warning about unreliable sources might decrease trust in misinformation, it significantly decreases trust in accurate information. This research alleviates some concerns about how people evaluate the credibility of information they find online, while revealing a potential backfire effect of one misinformation-prevention approach; namely, that banner warnings about source unreliability could lead to unexpected and nonoptimal outcomes in which people trust accurate information less. [ABSTRACT FROM AUTHOR]

Objective Ventriculitis is an example of the increasing global trend in difficult-to-treat infections in neonates caused by pathogens resistant to conventional therapies. This article describes the first use of intravenous and intraventricular tigecycline to treat ventriculitis caused by vancomycin-resistant enterococci in a preterm neonate and systematically review the literature on challenges posed by the definitions, diagnosis, and treatment of neonatal ventriculitis Methods The authors searched PubMed and Internet search engines for "ventriculitis" in the period from 2003 to 2023 restricting the research to "Newborn," "Human," "English language," and "full-text availability." Results Thirty-seven publications (20 case reports, 6 case series, and 11 research articles) were extracted upon research. Preterm birth, posthemorrhagic ventricular dilatation requiring placement of ventricular access devices, and sepsis preceded neonatal ventriculitis. Infections caused by rare microorganisms, in particular gram-negative bacteria resistant to conventional therapies, predominated in the publications describing the need for a combination of intravenous (IV) and intraventricular (IVT) therapies. Survivors of neonatal ventriculitis developed neurodevelopmental impairments such as hydrocephalus, seizures, motor function, hearing, and vision impairment. Conclusion Clinical suspicion of ventriculitis indicated by subtle signs is key for prompt diagnosis. Effective IV and IVT antibiotics are essential to prevent serious sequelae and mortality. The drug delivery method should be changed if there is no clinical response. This study emphasizes the urgent need for pediatric trials of antibiotics against organisms resistant to other drugs. [ABSTRACT FROM AUTHOR]

Objective: This systematic review aimed to appraise the reliability and comprehensiveness of imaging methods in studies that used three-dimensional assessment of the temporomandibular joint (TMJ) in order to propose a standardized imaging method. Methods: Six databases/search engines were searched up until September 2022. The outcomes of interest included measurements of the mandibular condyle, glenoid fossa, joint spaces, or the entire TMJ. Two checklists were utilized: one to assess the risk of bias, with a maximum score of 37, and the other, a pre-designed checklist consisting of 22 items to evaluate the comprehensiveness of the methods used, with a maximum score of 33. Results: Out of the 2567 records retrieved, only 14 studies, which used cone bean computed tomography (CBCT), were deemed eligible and thus included in the qualitative analysis. Three studies were deemed of low risk of bias, while the remaining studies were rated as moderate to high risk of bias, primarily due to improper reporting of inter-observer agreement, varying reliability values, and a limited number of cases included in the reliability analysis. Regarding the comprehensiveness of the methods used, only four studies achieved relatively high scores. The deficiencies observed were related to the reporting of variables such as slice thickness and voxel size, absence of or improper reporting of intra- and inter-examiner reliability analyses, and failure to assess all osseous components of the TMJ. Conclusion: CBCT-based methods used to assess the positions and morphology of TMJ bony structures appear to be imperfect and lacking in comprehensiveness. Hence, criteria for a standardized assessment method of these TMJ structures are proposed. Clinical relevance statement: Accurately, comprehensively, and reliably assessing the osseous structures of the temporomandibular joint will provide valid and valuable diagnostic features of the normal temporomandibular joint, and help establish potential associations between these osseous features and temporomandibular disorders. Registration: The protocol for this systematic review was registered at the International Prospective Register of Systematic Reviews (PROSPERO, No.: CRD42020199792). Key Points: •Although many methods have been introduced to assess the osseous structure of the temporomandibular joint, they yielded inconsistent findings. •None of the published studies comprehensively assessed the temporomandibular joint. •Recommendations for a comprehensive temporomandibular joint osseous assessment method were suggested for better validity and reliability of future research. [ABSTRACT FROM AUTHOR]

Aim: This systematic review and meta‐analysis aimed to determine the survival of periodontally treated molars during maintenance care and identify the risk factors associated with molar loss among patients with periodontitis who received professional periodontal therapy and maintenance. Materials and Methods: Longitudinal studies with a minimum follow‐up duration of 5 years published until 28 August 2023 were retrieved from the following databases: the Cochrane Library, Embase, MEDLINE and Web of Science. All included studies reported data on molar retention. Meta‐analysis was performed using Review Manager 5.4. A modified version of the Newcastle–Ottawa Scale was used to evaluate the study quality. Statistical results of analyses of the overall survival rate and molar loss are presented as estimated standardized mean differences, whereas the results of the analyses of risk factors are presented as risk ratios with 95% confidence intervals (95% CIs). Results: From among the 1323 potentially eligible reports, 41 studies (5584 patients, 29,908 molars retained at the beginning of maintenance therapy, mean follow‐up duration of 14.7 years) were included. The pooled survival rate of the molars during maintenance therapy was 82% (95% CI: 80%–84%). The average loss of molars was 0.05 per patient per year (95% CI: 0.04–0.06) among the patients receiving long‐term periodontal maintenance (PM) therapy. Fifteen factors were examined in this meta‐analysis. Six patient‐related factors (older age, lack of compliance, smoking, bruxism, diabetes and lack of private insurance) and five tooth‐related factors (maxillary location, high probing pocket depth, furcation involvement, higher mobility and lack of pulpal vitality) were identified as risk factors for molar loss during maintenance therapy. Conclusions: The findings of the present study suggest that the long‐term retention of periodontally compromised molars can be achieved. The average number of molars lost per decade was <1 among the patients receiving long‐term PM therapy. Older age, noncompliance, smoking, bruxism, diabetes, lack of private insurance coverage, maxillary location, furcation involvement, higher mobility, increase in the probing pocket depth and loss of pulpal vitality are strong risk factors for the long‐term prognosis of molars. [ABSTRACT FROM AUTHOR]

The aim of the study is to determine the effectiveness of stem cells in scaffolds in the treatment of bone deficits, in regard of bone regeneration, safety, rehabilitation and quality of life in humans. The systematic review was conducted in accordance with PRISMA 2020. A systematic search was conducted in three search engines and two registries lastly in 29-9-2022.for studies of the last 15 years. The risk of bias was assessed with RoB-2, ROBINS- I and NIH Quality of Before-After (Pre-Post) Studies with no Control group. The certainty of the results was assessed with the GRADE assessment tool. Due to heterogeneity, the results were reported in tables, graphs and narratively. The study protocol was published in PROSPERO with registration number CRD42022359049. Of the 10,091 studies retrieved, 14 were meeting the inclusion criteria, and were qualitatively analyzed. 138 patients were treated with mesenchymal stem cells in scaffolds, showing bone healing in all cases, and even with better results than the standard care. The adverse events were mild in most cases and in accordance with the surgery received. When assessed, there was a rehabilitation of the deficit and a gain in quality of life was detected. Although the heterogeneity between the studies and the small number of patients, the administration of mesenchymal stem cells in scaffolds seems safe and effective in the regeneration of bone defects. These results pave the way for the conduction of more clinical trials, with greater number of participants, with more standardized procedures. [ABSTRACT FROM AUTHOR]

Search engines serve as information gatekeepers on a multitude of topics dealing with different aspects of society. However, the ways search engines filter and rank information are prone to biases related to gender, ethnicity, and race. In this article, we conduct a systematic algorithm audit to examine how one specific form of bias, namely, sexualization, is manifested in Google's text search results about different national and gender groups. We find evidence of the sexualization of women, particularly those from the Global South and East, in search outputs in both organic and sponsored search results. Our findings contribute to research on the sexualization of people in different forms of media, bias in web search, and algorithm auditing as well as have important implications for the ongoing debates about the responsibility of transnational tech companies for preventing systems they design from amplifying discrimination. [ABSTRACT FROM AUTHOR]

Keloids (KD) and hypertrophic scars (HTS), which are quite raised and pigmented and have increased vascularization and cellularity, are formed due to the impaired healing process of cutaneous injuries in some individuals having family history and genetic factors. These scars decrease the quality of life (QOL) of patients greatly, due to the pain, itching, contracture, cosmetic problems, and so on, depending on the location of the scars. Treatment/prevention that will satisfy patients' QOL is still under development. In this article, we review pharmacotherapy for treating KD and HTS, including the prevention of postsurgical recurrence (especially KD). Pharmacotherapy involves monotherapy using a single drug and combination pharmacotherapy using multiple drugs, where drugs are administered orally, topically and/or through intralesional injection. In addition, pharmacotherapy for KD/HTS is sometimes combined with surgical excision and/or with physical therapy such as cryotherapy, laser therapy, radiotherapy including brachytherapy, and silicone gel/sheeting. The results regarding the clinical effectiveness of each mono-pharmacotherapy for KD/HTS are not always consistent but rather scattered among researchers. Multimodal combination pharmacotherapy that targets multiple sites simultaneously is more effective than mono-pharmacotherapy. The literature was searched using PubMed, Google Scholar, and Online search engines. [ABSTRACT FROM AUTHOR]

Purpose: This review aims to comprehensively summarize, compare, and evaluate screeners used to identify risk for developmental language disorder (DLD), a common learning disability that is underidentified. Screening for DLD is a cost-effective way to identify children in need of further assessment and, in turn, provides much needed supports. Method: We identified 15 commercially available English language DLD screeners in North America. We then characterized each screener on 27 aspects in three domains, including (a) accessibility information (acronym, subtest, website, cost, materials included, publish year, examiner qualification, age range, administration time, and administration format), (b) usability features (dialect compatibility, progress monitoring function, actionable follow-up instruction, group assessment capability, and online administration availability), and (c) technical standards (the availability of a technical manual, conceptual definition, the sample size used in classification accuracy calculation, sample distribution, year of sample collection, outcome measure, sample base rate, cutoff score, sensitivity, specificity, positive predictive value, and negative predictive value). Results: We obtained sufficient accessibility information from 14 out of 15 (93%) screeners. In contrast, none of the screeners (0%) included comprehensive usability features. Ten screeners (67%) included a range of classification accuracy (70%–100% sensitivity and 68%–90% specificity). We provided areas of strength and weakness for each screener as a quick reference for users and generated screener recommendations for five practical scenarios. Conclusions: Our findings presented some DLD screeners that meet most standards and highlight numerous areas for improvement, including improving classification accuracy and clarifying follow-up instructions for children who are identified with DLD risk. Screening for DLD is critical to provide timely early identification, intervention, and classroom support, which in turn facilitates student outcomes. [ABSTRACT FROM AUTHOR]

Context Rheumatoid arthritis is a chronic inflammatory disease that causes synovitis. Vitamin D deficiency is common in rheumatoid arthritis. Objective This systematic review and meta-analysis investigated whether vitamin D supplementation affects the inflammatory and clinical outcomes in patients with rheumatoid arthritis on the basis of randomized clinical trials. Data Sources A literature search was performed in the Cochrane Central Register of Controlled Trials (CENTRAL), PubMed, MEDLINE, Embase, and Google Scholar for articles published until May 2022. Data Extraction The studies were selected according to PRISMA guidelines, and the risk of bias was assessed for randomized controlled trials. Data Analysis A random effects model was used to conduct a meta-analysis, and heterogeneity was assessed using the I2 statistic. Of 464 records, 11 studies were included from 3049 patients. Conclusion: Vitamin D supplementation did not significantly reduce C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), disease activity score in 28 joints (DAS28), or the health assessment questionnaire score; however, the response to supplementation was highly heterogeneous. The pooled analysis showed that vitamin D significantly reduced the pain–visual analogue scale (VAS) weighted mean difference (WMD = –1.30, 95% confidence interval [CI] [–2.34, −27], P = .01), DAS28–CRP (WMD = –.58, 95% CI [–.86, –.31], P < .0001), and DAS28–ESR (WMD = –.58, 95% CI [–.86, –.31], P = .0001). Subgroup analysis for vitamin D doses (>100 µg per day versus <100 µg per day) showed that the higher doses had a more significant effect on CRP than the lower doses (P < .05). Conclusions There was no significant difference between the effect of 2 vitamin D doses on ESR and DAS28. To minimize the high heterogeneity among studies in this meta-analysis, other confounding factors such as baseline vitamin D, age, dietary vitamin D, time of year, sun exposure, drug interaction, effect dosage, and power of study should be examined. [ABSTRACT FROM AUTHOR]

The PageRank model, which was first proposed by Google for its web search engine application, has since become a popular computational tool in a wide range of scientific fields, including chemistry, bioinformatics, neuroscience, bibliometrics, social networks, and others. PageRank calculations necessitate the use of fast computational techniques with low algorithmic and memory complexity. In recent years, much attention has been paid to Krylov subspace algorithms for solving difficult PageRank linear systems, such as those with large damping parameters close to one. In this article, we examine the full orthogonalization method (FOM). We present a convergence study of the method that extends and clarifies part of the conclusions reached in Zhang et al. (J Comput Appl Math. 2016; 296:397–409.). Furthermore, we demonstrate that FOM is breakdown free when solving singular PageRank linear systems with index one and we investigate the effect of using weighted inner‐products instead of conventional inner‐products in the orthonormalization procedure on FOM convergence. Finally, we develop a shifted polynomial preconditioner that takes advantage of the special structure of the PageRank linear system and has a good ability to cluster most of the eigenvalues, making it a good choice for an iterative method like FOM or GMRES. Numerical experiments are presented to support the theoretical findings and to evaluate the performance of the new weighted preconditioned FOM PageRank solver in comparison to other established solvers for this class of problem, including conventional stationary methods, hybrid combinations of stationary and Krylov subspace methods, and multi‐step splitting strategies. [ABSTRACT FROM AUTHOR]

The article focuses on the pivotal role of general web search engines in shaping society and culture, with a particular emphasis on the significance of search engine optimization (SEO) and marketing (SEM) for visibility. Topics discussed include the dominance of major corporations like Google, the interdisciplinary nature of search engine research, and recent studies revitalizing interest in understanding search engines' societal implications and biases.

Like information science more broadly, search engine research has largely been fragmented into two factions: system‐oriented and user‐oriented studies. This limits our capacity for answering some fundamental questions surrounding an integral—often invisible—part of modern life. Given the "search‐ification" of this life, given an oligopolous global market and an information‐wealthy but attention‐poor audience, methods capable of studying search engines, as well as their relationship with users and society are increasingly necessary. This paper proposes critical discourse analysis (CDA) as an effectual, oft‐overlooked method for search engine research, one capable of interrogating both search engines and their use. The paper outlines CDA, provides examples of its application, and highlights its capacity for progressing our critical understanding of search engines. This developing understanding, evidenced by a review of the literature, suggests that challenges brought by search cannot be resolved by critiquing the power of systems alone. Rather, a reclaiming of today's information infrastructure requires we also illuminate the socio‐political environments of search systems, and the metacognitive, invisible processes pivotal to our communication with them. While power‐analyses of search continue, and some have begun to employ CDA, little recognition exists of this theoretical perspective's capacity for supporting both system‐oriented and user‐oriented studies. [ABSTRACT FROM AUTHOR]

Web search is a crucial technology for the digital economy. Dominated by a few gatekeepers focused on commercial success, however, web publishers have to optimize their content for these gatekeepers, resulting in a closed ecosystem of search engines as well as the risk of publishers sacrificing quality. To encourage an open search ecosystem and offer users genuine choice among alternative search engines, we propose the development of an Open Web Index (OWI). We outline six core principles for developing and maintaining an open index, based on open data principles, legal compliance, and collaborative technology development. The combination of an open index with what we call declarative search engines will facilitate the development of vertical search engines and innovative web data products (including, e.g., large language models), enabling a fair and open information space. This framework underpins the EU‐funded project OpenWebSearch.EU, marking the first step towards realizing an Open Web Index. [ABSTRACT FROM AUTHOR]

Commercial search engines play a central role in shaping, defining, and promoting the information people have access to in contemporary societies. This is particularly true when it comes to emergent technologies, for which there is often limited available information in legacy media and other sources, thus having a strong bearing on public perceptions. In this article, we focus on how the Google search engine promotes information on carbon capture and storage (CCS). We explore how Google's ranking parameters and interface shape the information people access when searching for CCS through a qualitative analysis comparing the results in three countries (France, Spain, and Portugal). We focus on the content of the first search engine result pages (SERP) and consider both Google's ranking criteria and the content and format of promoted sources. The study reveals Google's influence in highlighting Wikipedia pages, Q&A‐formatted sources, and prioritizing online specialized media and private corporations. Additionally, we observe country‐specific variations in terms of actors and types of content, reflecting the level of interest and investment in the topic at the national level. These findings underscore the significant role of search engine mediations in shaping public perceptions and knowledge about emergent climate change technologies. [ABSTRACT FROM AUTHOR]

The overall aim of this article is to contribute to a research‐based understanding of the increasing invisibility of web search engines in society and to discussions about the potential impact of this invisibility. It examines how search engine use and online search activities are represented in national and regional reports on internet habits and experience published by public foundations and policy institutes. The elusiveness of search engines is understood through a theoretical perspective from infrastructure theory. National survey reports on internet habits and experience from the United States, UK, and Sweden from 2015 to 2021 are analyzed. The article shows how difficult it is to gain insights into how people search online and the role search engines play in everyday life. The nature of the survey report, which is often used to inform national policy, risks exacerbating the invisibility of search engines: what cannot be measured cannot be discussed at the policy level. This invisibility can lead to insufficient attention being paid to search engines, including their uses and effects, in legislation, in school education, and in the general formation of public knowledge about search engines in society. [ABSTRACT FROM AUTHOR]

Search engines, such as Google, have a considerable impact on society. Therefore, undesirable consequences, such as retrieving incorrect search results, pose a risk to users. Although previous research has reported the adverse outcomes of web search, little is known about how search engine users evaluate those outcomes. In this study, we show which aspects of web search are perceived as risky using a sample (N = 3884) representative of the German Internet population. We found that many participants are often concerned with adverse consequences immediately appearing on the search engine result page. For example, 45.2% of respondents are concerned about retrieving incorrect information. In contrast, consequences with a delayed impact are rarely perceived as a risk. Moreover, participants' experiences with adverse consequences are directly related to their risk perception. Our results demonstrate that people perceive risks related to web search. In addition to our study, there is a need for more independent research on the possible detrimental outcomes of web search to monitor and mitigate risks. Apart from risks for individuals, search engines with a massive number of users have an extraordinary impact on society; therefore, the acceptable risks of web search should be discussed. [ABSTRACT FROM AUTHOR]

With the growing use of artificial intelligence, search engine providers are increasingly pushing advertisers to use automated bidding strategies based on machine learning. Such automated decision‐making systems leave advertisers in the dark about the data being used and how they can influence the outcome of the decision‐making process. Previous literature on artificial intelligence lacks an understanding of the dangers related to artificially intelligent systems and their lack of transparency. In response, our paper addresses the inherent risks of the automated optimization of advertisers' bidding strategies in search engine advertising. The selected empirical case of a service company therefore demonstrates how data availability can trigger a long‐term decline in advertising performance and how search engine advertising performance metrics develop before and after an event of data scarcity. Based on data collected for 525 days, difference‐in‐differences analysis shows that the algorithmic approach has a considerable and lasting negative impact on advertising performance. Furthermore, the empirical case indicates that self‐regulated learning can initialize a downward spiral that gradually impairs advertising performance. Thus, the aim of this study is to increase awareness regarding automated decision‐making dangers in search engine advertising and help advertisers take preventive measures to reduce the risks of algorithm missteps. [ABSTRACT FROM AUTHOR]

Peer Recovery Support Services (PRSS) have the potential to be an economically valuable intervention. To investigate this potential, we conducted a scoping review to summarize existing research on the economic impact of PRSS. We searched relevant electronic databases for peer-reviewed articles and grey literature between January 2000 and February 2023 that examined an economic outcome related to PRSS. Following a comprehensive search, screening, and full-text evaluation, eight articles were selected for review. The majority of the studies we identified focused on healthcare cost-avoidance. Some studies supported PRSS as a method of avoiding costly medical services, while others had mixed results. Our scoping review revealed limited studies addressing cost savings associated with PRSS and further research on the economic impact of PRSS is warranted. [ABSTRACT FROM AUTHOR]

Introduction: Telemedicine is a useful tool for decreasing hospital stress, patient suffering, ambulance needs, hospital anxiety, and costs while improving the standard of care. Nonetheless, the lack of awareness regarding telemedicine poses a barrier to its application, presenting several difficulties in underdeveloped nations like Ethiopia. This review evaluates Ethiopian-specific telemedicine knowledge and associated factors. Methods: This systematic review was conducted using a search of several online databases in addition to the main databases, like Medline, PubMed, Scopus, and Science Direct. The writers have looked for, reviewed, and summarized information about telemedicine knowledge in the healthcare system. This study contained seven studies that examined telemedicine knowledge in the Ethiopian healthcare sector. Studies that followed the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA) were found using search engines. The investigation was carried out using STATA version 11. The indicator of heterogeneity (I2) was used to assess the level of heterogeneity among the included studies. The funnel plot was visually inspected, and Egger's regression test was run to check for publication bias. The pooled effect size of every study is estimated using a random-effect model meta-analysis. Results: Examination of 2160 studies, seven studies involving 2775 health professionals, and seven out of the 2160 publications assessed satisfied the inclusion criteria and were added to the systematic review and meta-analysis. The pooled prevalence of Telemedicine knowledge was 45.20 (95% CI: 34.87–55.53). Whereas the pooled factor was computer training was 2.24 times (AOR = 2.24 (95%; CI: 1.64–3.08)), computer access was 2.07 times (AOR = 2.07 (95% CI: 1.50–2.87)), internet access was 3.09 times (AOR = 3.09 (95% CI: 1.34–7.13)), social media access were 3.09 times (AOR = 3.09(95%; CI: 1.34–7.13)), educational status degree and above were 2.73 times (AOR = 2.73; 95% CI: 0.85–8.82), Awareness were 3.18 times (AOR = 3.18 (95%; CI: 1.02–9.91)), Management support was 1.85 (AOR = 1.85 (95% CI: 01.25–2.75)), computer literacy were 2.90 times (AOR = 2.90 (95% CI: 1.81–4.64)), computer owner were 1.70 times (AOR = 1.70 (95% CI: 1.05–2.76)), male gender were 1.95 times (AOR = 1.95 (95% CI: 1.32–2.87)). Conclusion: The overall pooled prevalence of telemedicine knowledge was low. Gender, education, management support, computer access, social media access, internet access, telemedicine awareness, and telemedicine training associated with telemedicine knowledge. [ABSTRACT FROM AUTHOR]

This study was aimed to identify football research trends in various periods. A total of 30,946 football papers were collected from a representative academic database and search engine, the 'Web of Science'. Keyword refinement included filtering nouns, establishing synonyms and thesaurus, and excluding conjunctions, and the Cyram's Netminer 4.0 software was used for network analysis. A centrality analysis was conducted by extracting the words corresponding to the top 2% of the main research topics to obtain the degree and eigenvector centralities. The most frequently mentioned research keywords were injury, performance, and club. Keyword performance showed the highest degree centrality (0.294) and keyword world and cup showed the highest eigenvector centrality (0.710). The keyword with the highest eigenvector degree changed from injury in the 1990s and world in the 2000s to cup since the 2010s. Although various studies on football injuries have been conducted, research on the sport itself has recently been conducted. This study provides fundamental information on football trends from research published over the past 30 years. [ABSTRACT FROM AUTHOR]

Background: Microtia is a congenital ear malformation that can occur as isolated microtia or as part of a syndrome. The etiology is currently poorly understood, although there is strong evidence that genetics has a role in the occurrence of microtia. This systematic review aimed to determine the genes involved and the abnormalities in microtia patients' head and neck regions. Methods: We used seven search engines to search all known literature on the genetic and phenotypic variables associated with the development or outcome of microtia. The identified publications were screened and selected based on inclusion and exclusion criteria and assessed for methodological quality using the Joanna Briggs Institute (JBI) critical appraisal tools. We found 40 papers in this systematic review with phenotypic data in microtia involving 1459 patients and 30 articles containing genetic data involved in microtia. Result: The most common accompanying phenotype of all microtia patients was external ear canal atresia, while the most common head and neck abnormalities were the auricular, mental, and oral regions. The most common syndrome found was craniofacial microsomia syndrome. In the syndromic microtia group, the most common genes were TCOF1 (43.75%), SIX2 (4.69%), and HSPA9 (4.69%), while in the non-syndromic microtia group, the most frequently found gene was GSC exon 2 (25%), FANCB (16.67%), HOXA2 (8.33%), GSC exon 3 (8.33%), MARS1 (8.33%), and CDT1 (8.33%). Conclusions: Our systematic review shows some genes involved in the microtia development, including TCOF1, SIX2, HSPA9, GSC exon 2, FANCB, HOXA2, GSC exon 3, MARS1, and CDT1 genes. We also reveal a genotype-phenotype association in microtia. In addition, further studies with more complete and comprehensive data are needed, including patients with complete data on syndromes, phenotypes, and genotypes. [ABSTRACT FROM AUTHOR]

Cities can be effectively transformed into smart cities (SCs) to support sustainability, green economy (GE) and sustainable development (SD). Urbanization policies are important for SCs's effectiveness in GE and sustainability. The study aims to propose suggestion on preliminary pillars of the multi-layered conceptual model towards contribution of smart governance (SG) in SCs to GE and sustainability. Therefore, the study reviews the literature in different search engines (e.g., Web-of-Science, Scopus, Sciencedirect) with keyword combinations of SC, GE, SC governance and sustainability. The study examines SC examples and SG strategies to support GE. The findings highlight the contribution of SC and effective SG to the GE and the multi-layered nature of SC that changes strategically through a multi-actor and multi-sectoral approach. The results emphasize that sustainability interacts with the SC, creating a closed loop that supports SC governance to develop GE. Furthermore, the results provide preliminary suggestion on main pillars of the conceptual model as five aspects (technological, governance, environmental, social, economic) and five keys (ICT-led urban-growth, collaboration, integration, transparency & accountability, green performance) that can support GE because of the interactions of SG and SD. The study can be beneficial for municipalities, urban planners, and researchers in the relevant field. [ABSTRACT FROM AUTHOR]

Amidst company denials, public interest in 'shadowbans' has grown. Without notifying the creator, 'shadowbans' limit the visibility of user-generated content. Shadowbans can be an effective content moderation technique, although they are subject to the same policy concerns. Existing research has focused on technologically demonstrating shadowbans, while other research has focused on people's experiences, including how social media users use the word 'shadowban' to call for platform accountability. However, less research has focused on media discourses. Thus, I ask: what does 'shadowban' do in search engine results? Using Search Engine Discourse Analysis (SEDA) of 107 search engine results, I argue that when incorporated into media discourses returned via search engine, 'shadowban' maintains existing power dynamics through attributions of agency, strategically managing conflict, and producing markets, all of which have the potential to shape policy debates. Future discussions of 'shadowbans' should critically attend to power differentials in the public sphere. Moreover, if governance is legitimized through media, this article demonstrates how critical analysis of how media sources frame platform governance is an important line of inquiry. [ABSTRACT FROM AUTHOR]

It is commonly assumed that personalization technologies used by Google for the purpose of tailoring search results for individual users create filter bubbles, which reinforce users' political views. Surprisingly, empirical evidence for a personalization-induced filter bubble has not been forthcoming. Here, we investigate whether filter bubbles may result instead from a searcher's choice of search queries. In the first experiment, participants rated the left-right leaning of 48 queries (search strings), 6 for each of 8 topics (abortion, benefits, climate change, sex equality, immigration, nuclear family, Islam, and taxation). An independent sample of participants were then asked to select one of these queries for each of the 8 topics. With the exception of the topic of Islam, participants were significantly more likely to select a query corresponding to their own political leaning, compared to other queries, explaining between 12% and 39% of the variance. A second experiment investigated the effect of the political leaning of the same queries on the overall political leaning of Search Engine Result Pages (SERPs) in Google Search. The top six results of each SERP were rated collectively by a third group of participants, explaining 36.3% of the variance across all 48 search terms (p <.00001). That is, (1) participants in our experiments tended to select own-side search queries, and (2) using those queries tended to yield own-side search results when using the Google search engine. Our results are consistent with the notion of a self-imposed filter bubble in which query selection plays a salient role. [ABSTRACT FROM AUTHOR]

Background Differential diagnosis in radiology is a critical aspect of clinical decision-making. Radiologists in the early stages may find difficulties in listing the differential diagnosis from image patterns. In this context, the emergence of large language models (LLMs) has introduced new opportunities as these models have the capacity to access and contextualize extensive information from text-based input. Objective The objective of this study was to explore the utility of four LLMs—ChatGPT3.5, Google Bard, Microsoft Bing, and Perplexity—in providing most important differential diagnoses of cardiovascular and thoracic imaging patterns. Methods We selected 15 unique cardiovascular (n = 5) and thoracic (n = 10) imaging patterns. We asked each model to generate top 5 most important differential diagnoses for every pattern. Concurrently, a panel of two cardiothoracic radiologists independently identified top 5 differentials for each case and came to consensus when discrepancies occurred. We checked the concordance and acceptance of LLM-generated differentials with the consensus differential diagnosis. Categorical variables were compared by binomial, chi-squared, or Fisher's exact test. Results A total of 15 cases with five differentials generated a total of 75 items to analyze. The highest level of concordance was observed for diagnoses provided by Perplexity (66.67%), followed by ChatGPT (65.33%) and Bing (62.67%). The lowest score was for Bard with 45.33% of concordance with expert consensus. The acceptance rate was highest for Perplexity (90.67%), followed by Bing (89.33%) and ChatGPT (85.33%). The lowest acceptance rate was for Bard (69.33%). Conclusion Four LLMs—ChatGPT3.5, Google Bard, Microsoft Bing, and Perplexity—generated differential diagnoses had high level of acceptance but relatively lower concordance. There were significant differences in acceptance and concordance among the LLMs. Hence, it is important to carefully select the suitable model for usage in patient care or in medical education. [ABSTRACT FROM AUTHOR]

The concept of sleep bruxism (SB) has evolved exponentially over the past several decades. Many theories and hypotheses have been proposed as to the definition, pathophysiology, and management of SB, from the early 1960s through the present. The role of peripheral factors, such as dental occlusion, in the pathogenesis of SB has been discarded. The authors searched several electronic databases (ie, PubMed, Google Scholar, Web of Science, Embase, and Ovid MEDLINE) for studies on bruxism. The search was conducted from January 1961 through May 2023 and yielded 4,612 articles, of which 312 were selected for comprehensive review after eliminating duplicates and nonfocused articles. There has been an evident progressive shift from the role of peripheral factors, such as dental occlusion, to more central factors, such as the involvement of a central pattern generator as well as the autonomic nervous system, in the genesis of bruxing movements. There is continued robust interest in the dental community to elucidate the contributing factors involved in SB. The neurophysiology of SB appears to be leaning more toward central rather than peripheral factors. There is increasing evidence of the role of the autonomic nervous system, genetics, and comorbidities in the genesis of SB. The scientific literature seems to refute the role of dental occlusion in the causation of bruxing movements. As per the literature, there has been a paradigm shift in the definition and genesis of SB and its possible dental implications and management, which also highlights the need for succinct scientific studies in this regard. [ABSTRACT FROM AUTHOR]

With tremendous evolution in the internet world, the internet has become a household thing. Internet users use search engines or personal assistants to request information from the internet. Search results are greatly dependent on the entered keywords. Casual users may enter a vague query due to lack of knowledge of the domain-specific words. We propose a query reformulation system that determines the context of the query, decides on keywords to be replaced and outputs a better-modified query. We propose strategies for keyword replacements and metrics for query betterment checks. We have found that if we project keywords into the vector space of word projection using word embedding techniques and if the keyword replacement is correct, clusters of a new set of keywords become more cohesive. This assumption forms the basis of our proposed work. To prove the effectiveness of the proposed system, we applied it to the ad-hoc retrieval tasks over two benchmark corpora viz TREC-CDS 2014 and OHSUMED corpus. We indexed Whoosh search engine on these corpora and evaluated based on the given queries provided along with the corpus. Experimental results show that the proposed techniques achieved 9 to 11% improvement in precision and recall scores. Using Google's popularity index, we also prove that the reformulated queries are not only more accurate but also more popular. The proposed system also applies to Conversational AI chatbots like ChatGPT, where users must rephrase their queries to obtain better results. [ABSTRACT FROM AUTHOR]

The aim of the study is to evaluate and compare the quality and readability of responses generated by five different artificial intelligence (AI) chatbots—ChatGPT, Bard, Bing, Ernie, and Copilot—to the top searched queries of erectile dysfunction (ED). Google Trends was used to identify ED-related relevant phrases. Each AI chatbot received a specific sequence of 25 frequently searched terms as input. Responses were evaluated using DISCERN, Ensuring Quality Information for Patients (EQIP), and Flesch-Kincaid Grade Level (FKGL) and Reading Ease (FKRE) metrics. The top three most frequently searched phrases were "erectile dysfunction cause", "how to erectile dysfunction," and "erectile dysfunction treatment." Zimbabwe, Zambia, and Ghana exhibited the highest level of interest in ED. None of the AI chatbots achieved the necessary degree of readability. However, Bard exhibited significantly higher FKRE and FKGL ratings (p = 0.001), and Copilot achieved better EQIP and DISCERN ratings than the other chatbots (p = 0.001). Bard exhibited the simplest linguistic framework and posed the least challenge in terms of readability and comprehension, and Copilot's text quality on ED was superior to the other chatbots. As new chatbots are introduced, their understandability and text quality increase, providing better guidance to patients. [ABSTRACT FROM AUTHOR]

Evidence on the outcomes of adolescent dating violence (ADV) victimization mainly derives from cross-sectional studies, which have limitations in suggesting causal relationships. Furthermore, the complexity of factors and overlapping dimensions in dating violence research, such as the forms of violence experienced, may have contributed to the variability of findings across the literature. To address these gaps and provide a more comprehensive understanding of the impact of ADV, this study reviews findings from prospective cohort studies, with a focus on the type of violence experienced and the gender of the victim. A systematic search was conducted in nine electronic databases and additional relevant journals. Prospective longitudinal studies were included if dating violence victimization occurred during adolescence and chronologically preceded the outcomes. A quality assessment was conducted using the Mixed Methods Appraisal Tool. A narrative approach was used to synthesize findings. After screening 1,838 records, 14 publications met the selection criteria and were included in this review. Our findings suggest that experiencing ADV is longitudinally associated with many adverse outcomes, including higher internalizing symptoms and externalizing behaviors, poorer well-being, increased substance use, and increased revictimization. However, the associations are not consistently reported across studies when considering the type of ADV experienced and the gender of the victim. This review highlights the limited number of longitudinal studies examining the outcomes of ADV victimization, the unbalanced approach in investigating different forms of violence, and the lack of diverse samples examining this subject. Implications for research, policy, and practice are outlined. [ABSTRACT FROM AUTHOR]