Index Web Research Articles

Identification of Social Media Addiction Levels on "TikTok" Among Students Using Mamdani Fuzzy Logic

According to data from the Global Web Index in their early 2023 survey, advertising sources published by Byte Dance indicate that TikTok has 109.9 million users aged 18 and above in Indonesia alone. This highlights the inevitable trend of teenagers becoming addicted to social media, particularly the TikTok app. Related parties are starting to notice this addiction issue, along with a noticeable decline in academic performance, possibly as a result of students neglecting their time by spending it on social media (TikTok). Analyzing variables such as usage duration, productivity impact, and neglect of social interactions aims to measure TikTok addiction among students using the Mamdani fuzzy logic method. Of the 75 respondents surveyed, 17.33% were identified as "Not Addicted", 72% were identified as "Addicted", and the remaining 10.67% were identified as "Highly Addicted". The results show that most students are already identified as addicted to TikTok. The Mamdani fuzzy logic method is considered effective in handling uncertainties in human behaviour. By utilizing MATLAB’s Fuzzy Logic Toolbox, this research models and evaluates addiction levels, providing insights to reduce excessive TikTok usage. This study also provides a strong foundation for future research exploring social media addiction on other platforms or among different populations. It encourages using technologies like MATLAB’s Fuzzy Logic Toolbox in educational contexts to address other complex problems.

Adequate Levels of Zinc and Copper on Turkey Poult Performance, Immunological Response, and Skeletal Health.

In this study, the impact of varying dietary zinc (Zn) and copper (Cu) levels on the growth, immunological response, and skeletal health of developing turkey poults was investigated. For 0-4 and 5-8 weeks of age, respectively, three Zn levels of 50, 70, and 90mg/kg and 45, 65, and 85mg/kg were employed. Three Cu levels, namely 8, 12, and 16mg/kg for 0-8 weeks of age, were also utilized. There were 288 (9 × 4 × 8) day-old turkey poults with equal body weight that were randomly assigned to 9 treatments, each consisting of 4 replicates and 8 poults per replicate. In comparison to other dietary combinations, there was a significant (P ≤ 0.05) increase in body weight gain observed in the 90 and 85mg Zn/kg with 16mg Cu/kg diet during 0-4 and 0-8 weeks of age, respectively, and the 70 and 65mg Zn with 16mg Cu /kg diet during 0-4 and 0-8 weeks of age, respectively. When compared to low levels of zinc in the diet at 5-8 and 0-8 weeks of age, respectively, feed conversion ratio was shown to be significantly (P ≤ 0.01) better with 90 and 85mg Zn/kg diet. In a similar pattern, feed utilization efficiency was considerably (P ≤ 0.01) higher at 16mg Cu/kg diet than it was at lower Cu levels in the diets given to the animals over the 0-4 week period. Compared to other dietary combinations, there was a substantial (P ≤ 0.01) improvement in cell-mediated immune response (foot web index to PHAP) and humoral immune response (HA titer to SRBC) when 85mg zinc and 16mg copper/kg diet was consumed at 0-4 and 5-8 weeks of age. At greater dietary Zn and Cu levels than its lower values, the weight of the spleen and thymus was considerably (P ≤ 0.05) higher. In a dietary combination of 90mg Zn with 16mg Cu/kg during 0-4 and 85mg Zn with 16mg Cu/kg diet during 5-8 weeks of age, respectively, there were significantly (P ≤ 0.05) greater bone width (proximal and distal), tibia bone ash, calcium, and phosphorus detected respectively. Significantly (P ≤ 0.01) greater Zn and Fe contents were found in the tibia bone at 90 and 85mg Zn/kg diet, respectively, compared to values obtained at other Zn levels in the diet throughout 0-4 and 5-8 weeks of age. During the first 8 weeks of life, a diet containing 12mg of copper per kilogram was shown to have a significantly (P ≤ 0.05) increased Zn and Fe content in the tibia bone compared to other levels. It is possible to draw the conclusion from the data that, for growing turkey poults, dietary combinations of 90mg Zn/kg with 16mg Cu/kg diet and 85mg Zn with 16mg Cu/kg diet between 0 and 4 and 5-8 weeks of age, respectively, were sufficient for optimum development, immunity, and skeletal health indices.

Evaluating Machine Learning Techniques for Web Robot Detection

A web robot, also known as a web crawler, is an automated script that systematically browses the World Wide Web in a methodical manner. Web robots are commonly used by search engines to index web pages, gather information, and update search engine databases. They follow hyperlinks from one web page to another, collecting data and information for various purposes such as indexing, data mining, and website monitoring. Web robot detection is the process of identifying and distinguishing between human users and web robots on websites, which are a major source of web traffic. This process is vital to prevent malicious web robots from having a negative effect on web servers’ traffic and their users’ privacy. Companies such as Imperva, Inc. use machine learning models to identify malicious bots and prevent them from having unauthorized access to an organization’s server. To understand the benefit that machine learning models bring to web robot detection, we used pre-published server log data to construct machine learning models on Orange (a Data Mining Software) and Python that can distinguish between malicious and benign web robots. We evaluated the performance of three well-known machine learning algorithms: kNN, neural network, and decision tree. Based on our experimental results, the neural network gains the highest precision and the lowest false-positive and false-negative percentage of web robots. However, the neural network requires more time to generate the desired output.

INTRODUCTORY PREFACE: Publication Patterns of the Central European Public Administration Review – A Bibliometric Analysis

On the 20th anniversary of the Central European Public Administration Review (CEPAR), this study underscores the significance of the journal’s inclusion in indexing. Employing scient metrics, bibliometric techniques, and knowledge mapping, the analysis offers a comprehensive overview of CEPAR’s evolution over the past two decades, the challenges encountered following the journal’s indexing in Web of Science, and the distinctivecharacteristics of authorship patterns. The data used in bibliometric analysis was extracted from Web of Science and covers the period 2018– 2023 (103 papers), while the data for authoring analysis was collectedfrom the archives of journal volumes covering the period 2003–2023 (425 papers). Over its 21 years of existence, CEPAR has published a total of 425 articles with an average of 20 articles per year. These contributions represent the collaborative efforts of 684 authors from different countries, with the average article written by 1.61 authors. The trend in annual citations is positive, with citations increasing tenfold following indexation in Web of Science. The publications in the sample (bibliometric analysis) were written by 175 authors affiliated with 75 institutions, of which 84% contributed a single article to CEPAR’s evolution. In the five years since its indexing in Web of Science, CEPAR has garnered about 200 citations, approximately 33 per year. The most frequent topics include studies on performance, public administration, comparative analysis, e-government, administrative courts, and access to information.

Crop management strategies shape the shared temporal dynamics of soil food web structure and functioning

In recent decades, there has been growing interest in exploring the soil biota, highlighting the significance of soil organisms' networks in soil functioning. Here, we use a modeling approach to investigate how changes in cropping practices influence the soil food web dynamics and it relates to that of soil functioning. In an experimental trial, we tested for change in topsoil food webs after shift from conventional to alternative practices (changes in tillage intensity, amount of residues returned and N fertilization rate). Samplings were made in 16 plots of a randomized complete block design during spring of year 0, 2 and 4 after the onset of the trial. Microorganisms, microfauna, mesofauna and macrofauna were sampled, identified and grouped into trophic groups. We built a general soil food web describing plausible carbon flows between these trophic groups and computed several network indices. At the same dates, soil functions linked to C and N dynamics were measured from soil samples. We used a COSTATIS analysis to investigate relationships between temporal sequences of soil functions and soil food web indices. Significant interactive effects of the date and of agricultural systems were found on the mean and the maximum trophic level, the bacterial-to-fungal path ratio, the total biomass and the way biomass accumulates across trophic levels, the number of trophic groups and the functional redundancy in trophic groups. Similarly, organic matter transformations and enzymatic activities showed differences across date and agricultural systems. Results show that temporal changes in soil food web structure and in soil processes related to N and C cycling co-vary following changes in agricultural management practices. Management practices related to tillage exerted stronger effects on soil food web functioning than those related to the export of crop residues or reduction in mineral N fertiliser. For instance, reduced tillage lead to more complex food webs, with increased C and N mineralization in the upper soil layer (0–5 cm), in which most of the residues accumulate. Our results provide insights on soil food webs temporal dynamics, even within a restricted panel of agricultural practices. Our results suggest that changes in agricultural practices influence feedbacks between organisms and the functions they perform, so that a temporal co-structure can be observed in the studied site. Such work could help better understand the mechanisms of resistance or ecological debt during agroecological transition, which could limit or delay expected Nature-based solutions.

Exploring Journal of Emerging Technologies in Accounting: A Content and Citation Analysis of JETA

ABSTRACT This study presents a comprehensive bibliometric analysis of the Journal of Emerging Technologies in Accounting (JETA) from 2008 to 2022, the period since its indexing in Web of Science, focusing on authorship patterns, dominant topics, and citation trends. The findings highlight a significant concentration of authorship within JETA, suggesting an opportunity for enhancing diversity and introducing fresh perspectives through expanded authorial engagement. Acknowledging JETA’s significant contributions to blockchain, text analysis/NLP, and AI, this study proposes an exploration into broader, interdisciplinary domains to further enrich the journal’s thematic diversity, in alignment with global academic trends. The study further recognizes an opportunity for JETA to bolster its global impact by inviting contributions from underrepresented regions, such as South America, Australia, and Africa. Additionally, the analysis reveals a commendable trend in JETA toward collaborative and potentially interdisciplinary research, implying that fostering such collaborations could yield innovative research methodologies in the field. Data Availability: The data supporting the findings of this study can be provided upon request by contacting Batuhan Güvemli. JEL Classifications: M40; M41; M42; M49.

Effect of Application Rates of N and P Fertilizers on Soil Nematode Community Structure in Mollisols

Long-term application of chemical fertilizer poses an environmental threat to belowground ecosystems. However, the impact of nitrogen (N) or phosphorus (P) fertilizers on soil biodiversity and the conditions of soil food web remains largely unknown. Soil nematodes are the most abundant multicellular soil animals and serve as excellent bioindicators of soil. Here, we investigated soil nematode communities and food web structure in a long-term experiment with different application rates of N and P fertilizers in northeast China. The application of N and P fertilizers increased the abundance of bacterivores but suppressed the abundance of omnivores and predators. The abundance of bacterivores exhibited an increasing trend, while that of omnivores and predators showed a decreasing trend with increasing rates of N and P fertilizers. Plant parasites displayed a decreasing trend in response to N fertilizer, but not to P fertilizer. N and P fertilizers also altered nematode functional guild composition, with N fertilizer increasing the abundance of Ba1, and P fertilizer increasing the abundance of Fu2 and Ba3. Nonmetric multidimensional scaling (NMDS) analysis revealed apparent successions of nematode communities from no fertilizer soils to high rates of N or P fertilizer soils at both the genus and functional guild levels. Furthermore, N and P fertilizers resulted in different nematode communities. In terms of nematode food web indices, N fertilizer increased the enrichment index (EI) but reduced the channel index (CI) and structure index (SI), whereas P fertilizer only reduced the SI value. High rates of N and P fertilizers increased the respired carbon of bacterivores but reduced the respired carbon of predators. Mantel tests revealed significant correlations between soil properties and the community composition of both fungivores and omnivores. Among all soil properties, available phosphorus (AP) had the greatest influence on the community structure of soil nematodes. Our findings indicate that N fertilizer has a powerful effect on nematode food web structure, while P fertilizer exerts a stronger effect on soil nematode community composition.

O valor nutricional da gliricídia em diferentes formas de alimentação: uma revisão sistemática

ABSTRACT: Different types of supplied roughage may cause losses in the chemical composition and digestibility of gliricidia (Gliricidia sepium [Jacq.] Kunth ex Walp.) depending on their making and fed-out management. This study has summarized data from scientific studies on gliricidia and compared its nutritional value in various fed forms using a systematic review approach and principal component analysis (PCA). A robust survey of scientific papers was realized on web indexes of periodicals and databases from 1990 to 2023. Data from 100 scientific researches has been compiled and analyzed. In 40% of the trials, the gliricidia nutritional value was determined as fresh leaves, while 30% was in the form of ‘leaves + thin stems’. Gliricidia was evaluated as silage in 11% of the opportunities, followed by 10% as leaf meal and 9% as hay. Non-fiber carbohydrates, crude protein (CP), and organic matter digestibility (OM) had negative correlations with neutral detergent fiber (NDF), acid detergent fiber (ADF), and lignin. Only NDF, ADF, and CP contents could explain 71% of the total data variation (PC1 and PC2). There was no discrimination among fed forms, so they showed similar nutrient compositions. Eventual nutrient losses reported in the scientific researches owing to ensilage, haymaking, and leaf meal-making processes do not mischaracterize the gliricidia nutritional value. The assorted manners of roughage making, and fed-out management traditionally performed by farmers can conserve the excellent nutritional quality of gliricidia.

Approximate sorting and its applications in I/O model

Sorting is a fundamental component in many different applications including web indexing engines, geographic information systems, data mining and database systems. However, the existing optimal algorithms still cause huge costs when the input data becomes very large. Thus, the approximate sorting for big data is considered in this paper. The goal of approximate sorting for big data is to generate an approximate sorted result, but using less CPU and I/O cost. For big data, we consider the approximate sorting and applications for approximate sorted results in I/O model.The quality of approximate sorting results is usually measured by the distance metrics on permutation space. However, the existing metrics on permutation space are not available for external approximate sorting algorithms. Thus, we propose a new kind of metric named External metric, which ignores the errors and dislocations that happened in each I/O block. The External metric of Spearman's footrule metric is named as External Spearman's footrule metric (short as ESP metric), which is analyzed in this paper.Furthermore, to facilitate a better evaluation of the approximate sorted result, we propose a new metric, named as errors, which directly states the number of dislocation of the elements. The External errors are also considered in this paper.Then, according to the rate-distortion relationship under these two metrics, the lower bound of these two metrics on external approximate sorting problem with t I/O operations is proved. We propose a k-passes external approximate sorting algorithm, named as EASORT, and prove that EASORT is asymptotically optimal under ESP metric.Finally, we consider the applications on approximate sorting results. An index for the approximate sorted result is proposed. The single and range query on approximate sorted result using this index are also analyzed. Further, the sort-merge join on two relations, where one of the relations is approximate sorted or both relations are approximate sorted, are all discussed in this paper.

Studies in Business and Economics: Six Years of Indexing in Web of Science

Abstract Studies in Business and Economics (SBE) is an open access journal owned by Lucian Blaga University of Sibiu (Romania). The paper’s objective is to present a palette of quantitative data regarding the performance of the journal between 2017 and 2022. The paper contains a comprehensive bibliometric study of the journal and an authorship pattern analysis. The sample contains 328 articles indexed in Web of Science (WoS) database. Results shows a significant growth in the number of citations of the SBE journal starting with WoS/Scopus indexation. The leading contributors to the journal are (a) authors (Ogrean C., Herciu M.), (b) institutions (Lucian Blaga University of Sibiu, Bucharest University of Economic Studies), (c) countries (Romania, the USA). The most predominant are papers with a single author (37%), which means that 17% of the authors prefers to write and publish an article by itself. The largest number of authors are implied in three co-authored papers. On average, a paper published in SBE is elaborated by 2.12 scholars. 63% of papers published in SBE have more than two authors and 83% of scholars prefer co-authorship publications. The following key-topics were preferred by authors: impact, economic growth, performance. The indexing of SBE in WoS and Scopus led to an increase in the interest of researchers to publish in this journal.

Unveiling the Digital Landscape of CAR-T Therapies in Multiple Myeloma Using Social Media Insights

Introduction: The rapid evolution of novel chimeric antigen receptor T-cell (CAR-T) therapies, including Carvykti (ciltacabtagene autoleucel) and Abecma (idecabtagene vicleucel), have revolutionized the treatment landscape for multiple myeloma (MM) patients. These cutting-edge therapies have demonstrated remarkable efficacy in clinical trials, representing a significant advancement in the field. However, their real-world impact on patient and physician experiences, and perceptions remain important topics of ongoing investigation. In recent years, social media platforms have emerged as valuable sources of real-time data and patient perspectives, providing an unprecedented opportunity for researchers to gain insights into physician and patient perceptions around these emerging CAR-T therapies. This study aims to perform a comprehensive digital analysis to measure sentiment expression by different health care stakeholders and to identify health information needs related to MM CAR-T therapies. Methods: This digital analysis utilized publicly available data related to CAR-T therapies approved for the treatment of relapsed or refractory MM from various online sources related to CAR-T therapies. The data was captured using the web indexing tool Talkwalker. The analysis covered the time period from May 21, 2021 to May 21, 2023. Quantitative analysis involved applying filters and Boolean search terms to segment the data and generate figures such as share of voice, language and media type distribution, and treatment and MM mentions over time. Additionally, a qualitative assessment was conducted by reviewing posts related to the key topics of interest. Individuals who self-identify as healthcare professionals (HCPs) based on their bio, social media name, byline in news articles, or other indications were included in stakeholder analysis. Results: Out of the 471.5K MM posts generated over the 2-year study period, 47,909 posts (10%) were about CAR-T therapy, and 13,117 posts specifically commented on either Carvykti (55%) or Abecma (45%). In terms of specialty, hematologists were the primary contributors (47%), followed by oncologists (16%) and pharmacists (6%). CAR-T therapy was most referenced in posts discussing efficacy, safety, duration, and time to cytokine release syndrome (CRS), with a higher number of posts mentioning Carvykti (57%) compared to Abecma (43%). The most prominent key themes of pressing challenges and needs mentioned among CAR-T therapy posts were cost (60.5%), post-CAR-T care (38.6%), access (37.5%), education (6.7%), and quality of life (6.4%). Both Carvykti and Abecma were frequently mentioned alongside access and cost, although access (60%) was more prominent with Carvykti and cost (61%) with Abecma. Among HCPs, the most significant key theme of pressing challenges and needs was post-CAR-T infusion care considerations (58.6%), such as extended hospital stays to manage immune-mediated toxicities such as CRS and neurotoxicity, the risk of cytopenia and infections, and strategies to mitigate these risks. Management strategies mentioned included earlier and more aggressive supportive care, the use of cytokine-targeting therapies such as tocilizumab for any grade CRS, steroids such as dexamethasone for immune effector cell-associated neurotoxicity syndrome, and prophylactic antiseizure medications for all patients regardless of neurotoxicity. In the category of Diversity, Equity, & Inclusion, both Carvykti and Abecma were mentioned similarly on various topics, including access to CAR-T therapies (87% vs. 74%), diversity in clinical trials (19% vs. 17%), geographic location implications (9% vs. 15%), and racial disparities (3% vs. 4%). Conclusions: The study findings highlight the importance of demystifying cost perceptions against the added value to patients, HCPs and payers, and implementing comprehensive post-CAR-T care protocols aligned with the concerns expressed in social media discussions for improvement in CAR-T therapies for multiple myeloma. By leveraging the power of social media data, this study offers valuable real-world insights that can inform clinical decision-making, enhance patient-centered care, and contribute to the development of strategies to overcome challenges associated with CAR-T therapies in multiple myeloma.

Shared and distinct abnormalities of brain magnetization transfer ratio in schizophrenia and major depressive disorder: a comparative voxel-based meta-analysis.

Patients with schizophrenia (SCZ) and major depressive disorder (MDD) share significant clinical overlap, although it remains unknown to what extent this overlap reflects shared neural profiles. To identify the shared and specific abnormalities in SCZ and MDD, we performed a whole-brain voxel-based meta-analysis using magnetization transfer imaging, a technique that characterizes the macromolecular structural integrity of brain tissue in terms of the magnetization transfer ratio (MTR). A systematic search based on Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines was conducted in PubMed, EMBASE, International Scientific Index (ISI) Web of Science, and MEDLINE for relevant studies up to March 2022. Two researchers independently screened the articles. Rigorous scrutiny and data extraction were performed for the studies that met the inclusion criteria. Voxel-wise meta-analyses were conducted using anisotropic effect size-signed differential mapping with a unified template. Meta-regression was used to explore the potential effects of demographic and clinical characteristics. A total of 15 studies with 17 datasets describing 365 SCZ patients, 224 MDD patients, and 550 healthy controls (HCs) were identified. The conjunction analysis showed that both disorders shared higher MTR than HC in the left cerebellum ( P =0.0006) and left fusiform gyrus ( P =0.0004). Additionally, SCZ patients showed disorder-specific lower MTR in the anterior cingulate/paracingulate gyrus, right superior temporal gyrus, and right superior frontal gyrus, and higher MTR in the left thalamus, precuneus/cuneus, posterior cingulate gyrus, and paracentral lobule; and MDD patients showed higher MTR in the left middle occipital region. Meta-regression showed no statistical significance in either group. The results revealed a structural neural basis shared between SCZ and MDD patients, emphasizing the importance of shared neural substrates across psychopathology. Meanwhile, distinct disease-specific characteristics could have implications for future differential diagnosis and targeted treatment.

Pengaruh Price Dan Social Media Marketing Activities (SMMA) Terhadap Healthcare Apps Purchase Intention Dimediasi Oleh Consumption Values

The increasing use of social media in Indonesia opens up opportunities for entrepreneurs especially in the health sector on COVID-19 pandemic era. During the COVID-19 pandemic, the need for online health services has soared. According to data from the Global Web Index (GWI) social media users in Indonesia in 2022 increased by 12.6% in the past year. The number of rivalries between health facilities is getting tougher, so a specific strategy is needed in marketing techniques in the field of health services in Indonesia. Market price competition is also one of the problems in the business sector. In this study, 163 samples collected had purchased health care products on the MySiloam application belonging to Siloam Hospital Group. The sample was obtained by purposive sampling method and then the data was processed using the PLS-SEM analysis method with the SmartPLS ver 3.2.9 application. The results obtained from data processing, there are several hypotheses that do not show a relationship between research variables, but social media marketing activities (SMMA) have the strongest influence on epistemic value which then increases healthcare apps purchase intention. Suggestions for further research should be done with a wider number of samples and tighten the criteria for respondents so that the data obtained is more significant and accurate.

Impact and development of an Open Web Index for open web search

AbstractWeb 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.

Examining the effectiveness of a GeoGebra-assisted open-ended approach on students’ mathematical creative thinking ability

Researchers use open-ended as a learning method to help students improve their math skills. Each open investigation of mathematical knowledge produces mixed results for components of mathematical ability, each school level, and the content taught. There are more and more studies on open-ended questions nowadays. This study tested the effectiveness of the open-ended approach assisted by GeoGebra on students' mathematical creative thinking abilities. The use of meta-analysis techniques is to analyze the effect (effect size) of a preliminary study. The instruments used were coding protocol sheets and coding sheets/Comprehensive Meta-Analysis (CMA) programs to analyze data. The resulting findings are that there are differences in the research method with the most significant effect size in the quasi-experimental research method, the research year with the most significant effect size in the 2012-2022 research year, indexing journals with the most significant effect size on web indexing scientific journals; the type of publication that has the most critical influence on the kind of thesis publication. Furthermore, the GeoGebra-assisted open-ended approach to creative thinking ability has no significant effect when viewed from the research characteristics of the sample size and level of education.

Utilization of the web index in the measurement of web creep after syndactyly surgery.

The aim of this study was to explore the feasibility of using a web index to measure web creep after syndactyly surgery. A total of 19 hands in nine children (six preoperatively and 13 immediately postoperatively) underwent measurement of their web position. A preliminary study confirmed that the web index measured on the child's hand at the time of surgery was similar to that measured on photographs taken at the same time. Subsequently, an intra- and inter-observer error rate found excellent agreement among four observers measuring the web index using photographs. Of 13 postoperative webs using a winged central rectangular web flap without skin grafting, 12 were re-measured using photographs at an average of 88 months (range 78 to 96) after surgery. There was evidence of minor web creep in one web only. Our study demonstrates the efficacy of web index calculation on photographs to measure web position in children after syndactyly surgery. The study also demonstrates the effectiveness of the graftless winged central rectangular web flap technique in avoiding web creep.Level of evidence: IV.

Improving the Effectiveness and Efficiency of Web-Based Search Tasks for Policy Workers

We adapt previous literature on search tasks for developing a domain-specific search engine that supports the search tasks of policy workers. To characterise the search tasks we conducted two rounds of interviews with policy workers at the municipality of Utrecht, and found that they face different challenges depending on the complexity of the task. During simple tasks, policy workers face information overload and time pressures, especially during web-based searches. For complex tasks, users prefer finding domain experts within their organisation to obtain the necessary information, which requires a different type of search functionality. To support simple tasks, we developed a web search engine that indexes web pages from authoritative sources only. We tested the hypothesis that users prefer expert search over web search for complex tasks and found that supporting complex tasks requires integrating functionality that enables finding internal experts within the broader web search engine. We constructed representative tasks to evaluate the proposed system’s effectiveness and efficiency, and found that it improved user performance. The search functionality developed could be standardised for use by policy workers in different municipalities within the Netherlands.

The Correlation between Intensity of Social Media Use and The Level of Social Anxiety Students

Based on data from the Global Web Index in 2022 around the world there are 4.95 billion internet users and 4.62 billion as active social media users with average usage duration of around 3-4 hours per day. Until January 2022, the number of internet users in Indonesia has reached 204.7 million. While the types of social media that are widely used by students are Whatsapp, Instagram, and Tictoc. The results of a preliminary study on students at Respati Yogyakarta University (Unriyo), showed that out of 10 students from the Faculty of Health Sciences (Fikes), 7 students experienced moderate anxiety, and 3 students experienced mild anxiety. To determine the correlation between the intensity of social media use and the level of social anxiety in students. This is quantitative research using a cross sectional approach. This research was carried out at Fikes, Unriyo in December 2022. Sampling was carried out using the accidental sampling technique. Data analysis used Kendall's tau_b correlation test. Most (65%) of respondents have a high intensity of using social media, and most (71%) of respondents experience moderate levels of social anxiety. The Kendall'a tau_b test results obtained a p value of 0.000 (<0.05). Statistically there is a positive correlation between the intensity of social media use and the level of student social anxiety

Different types of percutaneous endovascular interventions for acute ischemic stroke.

Acute ischemic stroke (AIS) is the abrupt reduction of blood flow to a certain area of the brain which causes neurologic dysfunction. Different types of percutaneous arterial endovascular interventions have been developed, but as yet there is no consensus on the optimal therapy for people with AIS. To compare the safety and efficacy of different types of percutaneous arterial endovascular interventions for treating people with AIS. We searched the Cochrane Central Register of Controlled Trials (CENTRAL; Issue 4 of 12, 2022), MEDLINE Ovid (1946 to 13 May 2022), Embase (1947 to 15 May 2022), Science Citation Index Web of Science (1900 to 15 May 2022), Scopus (1960 to 15 May 2022), and China Biological Medicine Database (CBM; 1978 to 16 May 2022). We also searched the ClinicalTrials.gov trials register and the World Health Organization (WHO) International Clinical Trials Registry Platform to 16 May 2022. Randomized controlled trials (RCTs) comparing one percutaneous arterial endovascular intervention with another in treating adult patients who have a clinical diagnosis of AIS due to large vessel occlusion and confirmed by imaging evidence, including thrombo-aspiration, stent-retrieval thrombectomy, aspiration-retriever combined technique, and thrombus mechanical fragmentation. Two review authors independently performed the literature searches, identified eligible trials, and extracted data. A third review author participated in discussions to reach consensus decisions when any disputes occurred. We assessed risk of bias and applied the GRADE approach to evaluate the quality of the evidence. The primary outcome was rate of modified Rankin Scale (mRS) of 0 to 2 at three months. Secondary outcomes included the rate of modified Thrombolysis In Cerebral Infarction (mTICI) of 2b to 3 postprocedure, all-cause mortality within three months, rate of intracranial hemorrhage on imaging at 24 hours, rate of symptomatic intracranial hemorrhage at 24 hours, and rate of procedure-related adverse events within three months. Four RCTs were eligible. The current meta-analysis included two trials with 651 participants comparing thrombo-aspiration with stent-retrieval thrombectomy. We judged the quality of evidence to be high in both trials according to Cochrane's risk of bias tool RoB 2. There were no significant differences between thrombo-aspiration and stent-retrieval thrombectomy in rate of mRS of 0 to 2 at three months (risk ratio [RR] 0.97, 95% confidence interval [CI] 0.82 to 1.13; P = 0.68; 633 participants; 2 RCTs); rate of mTICI of 2b to 3 postprocedure (RR 1.01, 95% CI 0.95 to 1.07; P = 0.77; 650 participants; 2 RCTs); all-cause mortality within three months (RR 1.01, 95% CI 0.74 to 1.37; P = 0.95; 633 participants; 2 RCTs); rate of intracranial hemorrhage on imaging at 24 hours (RR 1.03, 95% CI 0.86 to 1.24; P = 0.73; 645 participants; 2 RCTs); rate of symptomatic intracranial hemorrhage at 24 hours (RR 0.90, 95% CI 0.49 to 1.68; P = 0.75; 645 participants; 2 RCTs); and rate of procedure-related adverse events within three months (RR 0.98, 95% CI 0.68 to 1.41; P = 0.90; 651 participants; 2 RCTs). Another two included studies reported no differences for the comparisons of combined therapy versus stent-retrieval thrombectomy or thrombo-aspiration. One RCT is ongoing. This review did not establish any difference in safety and effectiveness between the thrombo-aspiration approach and stent-retrieval thrombectomy for treating people with AIS. Furthermore, the combined group did not show any obvious advantage over either intervention applied alone.

Information Retrieval Based Legal Search System

Calculating the similarity between two legal documents to find similar legal judgments is an important challenge in legal information. Efficiently computing this similarity by expanding widely used information retrieval and search engine techniques has practical applications in a number of tasks, like locating pertinent prior cases for a specific case document. Programmed data recovery frameworks or reports are the main parts of today’s selected emotional support networks or web indexes to reduce data overload. Investigating methodologies to work on the presentation of report recovery frameworks and web search tools is a working area of research. Various methods have been pro- posed in this research paper to explore ways to search the common law system for cases with a similar outcome. Building a legal decision support system is intended to increase efficiency by assisting stakeholders—including judges and attorneys—in finding related rulings promptly. In order to prepare arguments, a lawyer typically has to review earlier decisions that are comparable to (or pertinent to) the current case. The attorney examines the judgement database to discover similar judgements. Legal rulings are complex in nature and refer to other judgments. For this, proper techniques are needed for quality analysis of judgments and correct deductions from them. A proper analysis of several types of similarity measures, such as all-term-based similarity methods, legal terms, co-citations, and bibliographic links, performed to look for comparable conclusions. According to experimental findings, the law term similarity approach outperforms all term cosine similarity methods. The out- comes also demonstrate that the co-citation approach performs worse than the bibliographic linkage similarity method and improves performance over the co-citation approach. After proper analysis of various methods in this field, proper comparison can be made between documents and similar legal documents can also be easily searched based on their similarity pattern and can be used to make meaningful deductions.