Content Volume Research Articles

The Influence of Social Media (Tiktok) on Public Speaking Mastery of Students of the Communication Science Department Hang Tuah University Pekanbaru

Social media is a new trend that can provide extensive knowledge to every user. One example is the TikTok application. This application can provide various education for its users, such as mastery of public speaking. This research is experimental research using a One Group Pretest Posttest Design. Where this research aims to see the influence of the TikTok application on the mastery of public speaking of 11 students majoring in Hang Tuah University, Pekanbaru, who are the subjects of this research. The data analysis technique uses the Wilcoxon test with the help of the SPSS for Windows version 22.00 program. The instrument used is an observation sheet that refers to public speaking indicators, namely pronunciation and intonation, voice volume, fluency, relationship and accuracy of content to topic, gestures, and mimicry. The results of the Wilcoxon test showed that Zscore = 4.370> 0.135 and Asymp. Sig (2 tailed) is 0.000> 0.05 so Ha is accepted and Ho is rejected. Based on these statistical tests, it can be concluded that there is an influence of TikTok social media on the public speaking mastery of students at the Communication Science Department, Hang Tuah University, Pekanbaru. This is also supported by the increase that occurred in the pre-test and posttest results, which were initially 46.91 in the Fair category to 76.63 in the Good category

Polygalasaponin F ameliorates middle cerebral artery occlusion-induced focal ischemia / reperfusion injury in rats through inhibiting TXNIP/NLRP3 signaling pathway

BackgroundPolygalasaponin F (PGSF), an oleanane triterpenoid saponin extracted from Polygala japonica, has been demonstrated with neuroprotective effect. However, the therapeutic effects and mechanisms of PGSF on focal ischemia remain unknown; MethodsIn this study, male Sprague Dawley (SD) rats aged 6–8 weeks were initially selected to establish a rat model of middle cerebral artery occlusion (MCAO) to evaluate the therapeutic effect of PGSF intervention and to investigate the impact of PGSF on the thioredoxin-interacting protein/NOD-, LRR-, and pyrin domain-containing protein 3 (TXNIP/NLRP3) inflammatory pathway. Secondly, brain neuron cells were isolated, and the cells received oxygen-glucose deprivation/reoxygenation (OGD/R) culture to establish the cell injury model in vitro. The mechanism of PGSF on the TXNIP/NLRP3 pathway was further validated; ResultsOur results showed that PGSF treatment reduced neurological scores, brain tissue water content and infarct volume and ameliorated the pathological changes in cerebral cortex in MCAO-induced focal ischemia rats. The TNF-α, IL-1β and IL-6 levels decreased in MCAO-induced focal ischemia rats after PGSF treatment. Moreover, PGSF down-regulated the protein expressions of TXNIP, NLRP3, ASC, cleaved caspase-1, IL-1β, and IL-18 in MCAO-induced focal ischemia rats. Meanwhile, PGSF treatment inhibited apoptosis, and reduced the levels of ROS, inflammatory cytokine and TXNIP/NLRP3 pathway-related proteins (TXNIP, NLRP3, ASC, cleaved caspase-1, IL-1β, and IL-18) in OGD/R-induced neuronal injury cells. Finally, PGSF treatment also disrupted the interaction between NLRP3 and TXNIP in vitro; ConclusionsOur study demonstrated the therapeutic effects of PGSF on MCAO-induced focal ischemia rats. Moreover, the neuroprotective mechanism of PGSF on focal ischemia was associated with the inhibition of TXNIP/NLRP3 signaling pathway.

The engagement of literary influencers with their followers on Instagram- Bookstagrammers’ content and strategy

Influencer marketing has emerged as an effective way for brands to connect with consumers through social media influencers. Although this form of marketing has led to increased interest from researchers in recent years, relatively little is known about the content and engagement strategy of influencers and their links to follower behavior. In this digital context, it is worth citing a type of influencer related to literature: bookstagrammers. These are individuals who share their passion for books, review publishing news and encourage the habit of reading. This study analyzes how the content and engagement strategy of bookstagrammers (as measured by number of followers, content volume and posts of interest) is associated with the engagement of the followers of these cultural influencers on Instagram, both independently and interactively. The study analyzes a data set compiled from bookstagrammers by analyzing the content generated by these online influencers in order to test the proposed hypotheses. Our findings show that posts that include photographs of the author or book covers are positively associated with follower engagement on Instagram accounts, while emotional posts expressing feelings are negatively associated with follower engagement. These findings demonstrate that the elements and content strategy of literary influencers contribute to the engagement of followers on Instagram.

Cyberbullying Detection in Social Networks Using Deep Learning

Cyberbullying causes significant harm, especially among adolescents and young adults. With the growth of social media, online harassment through platforms like Facebook and Twitter has also proliferated rapidly. Though social networks have reporting mechanisms, the volume of user-generated content makes manual moderation infeasible. This necessitates automated detection systems that can accurately identify cyberbullying at scale. Recent advances in deep learning provide promising techniques for text classification tasks. This paper explores Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Long Short-Term Memory (LSTM), and transformer models like Bidirectional Encoder Representations from Transformers (BERT) for cyberbullying detection in social networks. The models are evaluated on a benchmark dataset containing 11,000 Facebook comments labeled as clean or cyberbullying. Extensive experiments demonstrate that BERT achieves the highest accuracy of 87.3% followed by a hierarchical CNN-LSTM architecture with 86.5% accuracy. The former benefits from bidirectional context modeling using self-attention while the latter combines the strengths of convolutional layers and LSTMs. The results verify the effectiveness of deep learning methodologies for this problem. However, enhancements in multilingual, multimodal support and adversarial robustness are required. Testing on diverse platforms and content along with user privacy considerations remain as future research directions. This empirical study provides useful insights to build robust cyberbullying detection systems.

Ways to solve the problems of information and digital literacy within the framework of the "One Belt, One Road" initiative

The objective of this research is to delve into the portrayal of China's national image within the framework of the "The Belt and Road Initiative". This study selects Kazakhstan's media outlet, the reports of "Kazinform" on China spanning from 2018 to 2022 as its subject of investigation, employing quantitative research methodology for a comprehensive examination, including the overall volume of coverage, key themes and content. And our focus is specifically directed towards the distribution patterns and overarching trends of political, economic and cultural themes within the reports. The research findings reveal that "Kazinform" presents a relatively objective and favorable image of China as a nation. In a more detailed context, "Kazinform" accurately reflects China's current state of development across five domains: politics, economics, culture, military affairs and society. Nonetheless, we have also identified instances of negative report. These reports serve to provide us with a nuanced understanding of the multifaceted dimensions of China's image within Kazakhstan's mainstream online media. Simultaneously, they shed light on the factors underlying the formation of the "Chinese perspective" within the content of reports, thereby facilitating a clearer appreciation of the significance of the "Belt and Road Initiative" within the geopolitical landscape of Central Asia

"It's really hard to strike a balance": The role of digital influencers in shaping youth mental health.

Social media influencers have enormous sway with youth; however, little is known about how they communicate about mental health and how young people respond to this content. This study used semi-structured, remote interviews with 31 participants aged 16 to 24 years to explore how young people feel about the way social media influencers discuss mental health online. Thematic analysis and member-checking processes were used to identify five themes, each reflecting a tension in how participants viewed a specific aspect of influencer content. Themes included the style (casual or serious), volume (inadequate or excessive), focus (distress or solutions), source (lived experience or professional advice), and sponsorship status (persuading or exploitative) of influencer content. Young people appear to hold widely varying, nuanced preferences regarding influencer mental health content. Notwithstanding some risks and limitations, influencers can generate engaging mental health content-their potential role in shaping youth mental health and other health communication efforts warrants further exploration.

Performance evaluation of electrokinetic bioremediation for weathered petroleum hydrocarbon-contaminated soil

This study investigates the impact of Electrokinetic Remediation (EKR) time on total petroleum hydrocarbons (TPH) removal from soil, focusing on electroosmotic phenomena guided by Helmholtz-Smoluchowski theory. Soil samples were exposed to a constant 2 V/cm voltage gradient for 8, 16, and 24 hours, utilizing a 0.05 M Na2SO4 solution as an electrolyte to enhance soil conductivity. Biostimulation was combined with EKR, and TPH levels and microbial colonies (TPC) were monitored over a 4-week period. Maintaining optimal conditions (25-40°C, pH 6-8, 30-60% water content) was crucial for effective biodegradation. Results showed that a 24-hour EKR duration was most effective, achieving an 87.9% removal rate. The 16-hour duration closely followed at 85.7%, while the 8-hour duration exhibited lower effectiveness at 62.5%. TPC counts increased in the fourth week for the 16-hour and 24-hour durations but decreased for the 8-hour duration. Post-EKR, a gradual decline in TPH levels indicated electroosmotic flow’s (EOF) positive impact on TPH desorption and biodegradation. Electroosmosis influence was evident in varying TPH concentrations among segments after EKR, with higher levels near the cathode in the 16-hour and 24-hour durations. Lower TPH near the cathode in the 8-hour variation suggested electroosmosis-induced desorption, while reduced concentrations in regions A (near anode) and B (middle) resulted from biodegradation and microbial mobility due to electrophoresis. Confirmation of electroosmosis across all durations was supported by observed water content and EOF volume. The 24-hour duration exhibited the highest EOF proportion in the cathode chamber at 22.2%, followed by 16 hours at 16.1%, and 8 hours at 8.6%.

High ion barrier hydrogel with excellent toughness achieved by directional structures.

Owing to their nontoxicity, environmental friendliness, and high biocompatibility, physically cross-linked hydrogels have become popular research materials; however, their high water content and high free volume, along with the weak bonding interactions inherent to ordinary physically cross-linked hydrogels, limit their application in fields such as flexible devices, packaging materials, and substance transport regulation. Here, a structural barrier approach based on directional freezing-assisted salting out was proposed, and the directional structure significantly enhanced the barrier performance of the hydrogel. When the direction of substance diffusion was perpendicular to the pore channel structure of the directional freezing-PVA hydrogel (DFPVA), the Cl- transmission rate was 57.2% for the uniform freezing-PVA hydrogel (UFPVA). By adjusting the concentration of the salting-out solution and the salting-out time, the crystallinity and crystal domain size of the hydrogel could be further changed, optimizing and regulating the barrier performance of the hydrogel, with the best Cl- unit permeability being 36.02 mg mm per cm2 per day. Additionally, DFPVA had excellent mechanical properties (stress of 6.47 ± 1.04 MPa, strain of 625.85 ± 61.58%, toughness of 25.77 ± 3.72 MPa). Due to the barrier and mechanical properties of the direct structure, DFPVA is suitable as a drug carrier for slow drug release in vitro.

ПРИМЕНЕНИЕ МЕТОДОВ РЕГРЕССИОННОГО АНАЛИЗА И АНАЛИЗА ИЕРАРХИЙ К ВЫБОРУ ПАРАМЕТРОВ ЛИТЬЯ ОЛОВЯННОЙ БРОНЗЫ

The influence of casting technological parameters on the presence and types of defects (shrinkage sinks, shrinkage porosity, cracks) of castings from tin bronze BrO3C7C5H1 has been investigated. By the method of regression analysis it was established that the change of tin concentration in the alloy, the temperature of metal release from the furnace, the strength of the molding mixture and the duration of mold pouring in the production conditions under consideration do not have a significant effect on the defect of the casting. The type of defects and the proportion of rejects are related to the volumetric shrinkage of the alloy and the moisture content of the molding mixture, the significance of the effect of the moisture content of the molding mixture indicates the gas-shrinkage nature of porosity. Analysis of nomograms based on the obtained regression models allows us to estimate the influence of significant parameters on the number of rejected castings and the probability of defects formation in them. Thus, a 1% increase in the molding mixture moisture content and alloy volume shrinkage leads to an increase in the number of rejected castings by 2.3 and 1.2 times, respectively. When molding mixture moisture content is increased by 1%, the probability of gas sinks, shrinkage porosity or hot cracks increases by 3.3, 2.3 and 2.2 times, respectively. When the volume shrinkage of the alloy is increased by 1%, the probability of shrinkage porosity and hot cracks increases by a factor of 1.1 and 1.2, respectively. By the method of hierarchy analysis is shown that the preferred options for reducing the rejects of tin bronze castings along with the moisture content of the molding mixture are reducing the temperature of metal release from the furnace and changing the casting technology to reduce the volumetric shrinkage of the alloy.

Цифровая надежда ревитализации исчезающих языков Камчатки: мобильное приложение для изучения корякского языка «Koryak tuyu»

This article discusses indigenous language revitalization and the role of digital technologies in language preservation. The focus is on the Koryak language, one of the seven endangered indigenous languages in Kamchatka. A framework for the ethnolinguistic situation in Kamchatka is provided, followed by an overview of endeavors aimed at preserving and advancing indigenous languages in the area. Next, the application of digital technologies to Koryak language learning is introduced. To promote technology inclusion among remote communities, the research team at Vitus Bering Kamchatka State University, led by the author of this study, has developed a mobile application called “Koryak tuyu.” This app can be used as a supplementary tool for studying the Koryak language, both in home-based individual learning and classroom settings. There are four parts: alphabet, grammar reference, ten lessons, and basic vocabulary, providing a substantial volume of content in terms of textual and audio media. There is an option to click on any word or phrase and listen to the audio recording. The lessons are structured to enable individuals without prior knowledge of Koryak to acquire vocabulary and phrases. The repetition of focal words in the lessons serves as a method of rote memorization. Each Koryak word is accompanied by its translation into Russian, with each word written using a Koryak keyboard layout with a few specific letters. The utilization of this application is possible for users even in the absence of an Internet connection, an essential aspect for remote villages in Kamchatka with unstable Internet connectivity.

CONTENTS Volume 73, Issue 10, October 2024

CONTENTS Volume 73, Issue 10, October 2024

CONTENTS Volume 73, Issue 2, February 2024

CONTENTS Volume 73, Issue 2, February 2024

CONTENTS Volume 73, Issue 11, November 2024.

CONTENTS Volume 73, Issue 11, November 2024.

CONTENTS Volume 73, Issue 1, January 2024.

CONTENTS Volume 73, Issue 1, January 2024.

CONTENTS Volume 73, Issue 8, August 2024

CONTENTS Volume 73, Issue 8, August 2024

CONTENTS Volume 73, Issue 5, May 2024.

CONTENTS Volume 73, Issue 5, May 2024.

CONTENTS Volume 73, Issue 4, April 2024.

CONTENTS Volume 73, Issue 4, April 2024.

CONTENTS Volume 73, Issue 7, July 2024

CONTENTS Volume 73, Issue 7, July 2024

CONTENTS Volume 73, Issue 6, June 2024.

CONTENTS Volume 73, Issue 6, June 2024.

Analysis of the Enhanced Boyer-Moore Search Algorithm for a Desktop PC Search Engine

In the digital era, the volume of digital contents stored on personal computers has been rapidly and continuously increasing. Finding documents among this bulk of files has become tedious and stressful. In this regard, string searching and pattern matching algorithms must be employed to alleviate the performance of search engines, making it easier to find the desired documents. This paper aims to analyze the performance of an enhanced Boyer-Moore (BM) search algorithm to assist in finding the intended information or files. A series of tests have been conducted in order to compare the enhanced BM algorithm with the traditional BM algorithm. The results have shown that the Enhanced Boyer-Moore Algorithm performed the search and managed to speed up the searching process by reducing the time duration and the accuracy of the overall performance as the input text increased.