bluuebunny/crossref_metadata_2025 huggingface dataset:
The Use of Social Media on Enhancing Dental Care and Practice Among Dental Professionals: Cross-Sectional Survey Study
Authors: Acosta Joseph Macadaeg , Detsomboonrat Palinee , Pisarnturakit Pagaporn Pantuwadee , Urwannachotima Nipaporn
Published: November 2024

Background

As digitalization continues to advance globally, the health care sector, including dental practice, increasingly recognizes social media as a vital tool for health care promotion, patient recruitment, marketing, and communication strategies.

Objective

This study aimed to investigate the use of social media and assess its impact on enhancing dental care and practice among dental professionals in the Philippines.

Methods

A cross-sectional survey was conducted among dental practitioners in the Philippines. The study used a 23-item questionnaire, which included 5 questions on dentists’ background and demographic information and 18 questions regarding the use, frequency, and purpose of social media in patient advising and quality of care improvement. Data were analyzed using SPSS software, with frequency distributions and χ2 tests used to assess the association between social media use and demographic variables and the impact on dental practice.

Results

The 265 dental practitioners in this study were predominantly female (n=204, 77%) and aged between 20‐30 years (n=145, 54.7%). Most of the participants were general practitioners (n=260, 98.1%) working in a private practice (n=240, 90.6%), with 58.5% (n=155) having 0‐5 years of clinical experience. Social media use was significantly higher among younger practitioners (20‐30 years old) compared to older age groups (P<.001), though factors such as sex, dental specialty, and years of clinical practice did not significantly influence use. The majority (n=179, 67.5%) reported using social media in their practice, primarily for oral health promotion and education (n=191, 72.1%), connecting with patients and colleagues (n=165, 62.3%), and marketing (n=150, 56.6%). Facebook (n=179, 67.5%) and YouTube (n=163, 61.5%) were the most frequented platforms for clinical information, with Twitter (subsequently rebranded X) being the least used (n=4, 1.5%). Despite widespread social media engagement, only 8.7% (n=23) trusted the credibility of web-based information, and 63.4% (n=168) perceived a potential impact on the patient-dentist relationship due to patients seeking information on the internet. Social media was also perceived to enhance practice quality, with users reporting significant improvements in patient care (P=.001).

Conclusions

The findings highlight that social media is widely used among younger dental practitioners, primarily for education, communication, and marketing purposes. While social media use is associated with perceived improvements in practice quality and patient care, trust in information on social media remains low, and concerns remain regarding its effect on patient relationships. It is recommended to establish enhanced guidelines and provide reliable web-based resources to help dental practitioners use social media effectively and responsibly.
Performance of a Full-Coverage Cervical Cancer Screening Program Using on an Artificial Intelligence– and Cloud-Based Diagnostic System: Observational Study of an Ultralarge Population (Preprint)
Authors: Ji Lu , Yao Yifan , Yu Dandan , Chen Wen , Yin Shanshan , Fu Yun , Tang Shangfeng , Yao Lan
Published: November 2024

BACKGROUND

The World Health Organization has set a global strategy to eliminate cervical cancer, emphasizing the need for cervical cancer screening coverage to reach 70%. In response, China has developed an action plan to accelerate the elimination of cervical cancer, with Hubei province implementing China’s first provincial full-coverage screening program using an artificial intelligence (AI) and cloud-based diagnostic system.

OBJECTIVE

This study aimed to evaluate the performance of AI technology in this full-coverage screening program. The evaluation indicators included accessibility, screening efficiency, diagnostic quality, and program cost.

METHODS

Characteristics of 1,704,461 individuals screened from July 2022 to January 2023 were used to analyze accessibility and AI screening efficiency. A random sample of 220 individuals was used for external diagnostic quality control. The costs of different participating screening institutions were assessed.

RESULTS

Cervical cancer screening services were extended to all administrative districts, especially in rural areas. Rural women had the highest participation rate at 67.54% (1,147,839/1,699,591). Approximately 1.7 million individuals were screened, achieving a cumulative coverage of 13.45% in about 6 months. Full-coverage programs could be achieved by AI technology in approximately 1 year, which was 87.5 times more efficient than the manual reading of slides. The sample compliance rate was as high as 99.1%, and compliance rates for positive, negative, and pathology biopsy reviews exceeded 96%. The cost of this program was CN ¥49 (the average exchange rate in 2022 is as follows: US $1=CN ¥6.7261) per person, with the primary screening institution and the third-party testing institute receiving CN ¥19 and ¥27, respectively.

CONCLUSIONS

AI-assisted diagnosis has proven to be accessible, efficient, reliable, and low cost, which could support the implementation of full-coverage screening programs, especially in areas with insufficient health resources. AI technology served as a crucial tool for rapidly and effectively increasing screening coverage, which would accelerate the achievement of the World Health Organization’s goals of eliminating cervical cancer.
Evaluation Framework of Large Language Models in Medical Documentation: Development and Usability Study (Preprint)
Authors: Seo Junhyuk , Choi Dasol , Kim Taerim , Cha Won Chul , Kim Minha , Yoo Haanju , Oh Namkee , Yi YongJin , Lee Kye Hwa , Choi Edward
Published: November 2024

BACKGROUND

The advancement of large language models (LLMs) offers significant opportunities for health care, particularly in the generation of medical documentation. However, challenges related to ensuring the accuracy and reliability of LLM outputs, coupled with the absence of established quality standards, have raised concerns about their clinical application.

OBJECTIVE

This study aimed to develop and validate an evaluation framework for assessing the accuracy and clinical applicability of LLM-generated emergency department (ED) records, aiming to enhance artificial intelligence integration in health care documentation.

METHODS

We organized the Healthcare Prompt-a-thon, a competitive event designed to explore the capabilities of LLMs in generating accurate medical records. The event involved 52 participants who generated 33 initial ED records using HyperCLOVA X, a Korean-specialized LLM. We applied a dual evaluation approach. First, clinical evaluation: 4 medical professionals evaluated the records using a 5-point Likert scale across 5 criteria—appropriateness, accuracy, structure/format, conciseness, and clinical validity. Second, quantitative evaluation: We developed a framework to categorize and count errors in the LLM outputs, identifying 7 key error types. Statistical methods, including Pearson correlation and intraclass correlation coefficients (ICC), were used to assess consistency and agreement among evaluators.

RESULTS

The clinical evaluation demonstrated strong interrater reliability, with ICC values ranging from 0.653 to 0.887 (P<.001), and a test-retest reliability Pearson correlation coefficient of 0.776 (P<.001). Quantitative analysis revealed that invalid generation errors were the most common, constituting 35.38% of total errors, while structural malformation errors had the most significant negative impact on the clinical evaluation score (Pearson r=–0.654; P<.001). A strong negative correlation was found between the number of quantitative errors and clinical evaluation scores (Pearson r=–0.633; P<.001), indicating that higher error rates corresponded to lower clinical acceptability.

CONCLUSIONS

Our research provides robust support for the reliability and clinical acceptability of the proposed evaluation framework. It underscores the framework’s potential to mitigate clinical burdens and foster the responsible integration of artificial intelligence technologies in health care, suggesting a promising direction for future research and practical applications in the field.
Ideological Fantasy of Social Harmony (Rukun) in Rural Java, Indonesia, in Ahmad Tohari’s Di Kaki Bukit Cibalak
Authors: Uluwwi Muhammad Ulul , Harjito Harjito , Septiana Ika
Published: November 2024

Ahmad Tohari presents the narrative of a village community under a corrupt village head in the novel Di Kaki Bukit Cibalak (2022). One of the villagers initiates an effort to improve the village's economic state amid hesitation to confront the corrupt village head. This article qualitatively examined the ideological fantasy of social harmony (rukun) in rural Java, Indonesia, as depicted in Ahmad Tohari's Di Kaki Bukit Cibalak. The sociology of literature approach correlated the story's facts with the social realities in Java. Data were collected through documentation techniques. Meanwhile, the analysis was conducted using Slavoj Žižek's theory of ideological fantasy and the concept of social harmony. The findings revealed that the lower-class villagers in rural Java had a symbolic mandate to 'surrender' to maintain social harmony, even though the subject aimed to defy the corrupt village head. The Javanese villagers preferred to avoid open conflict, which led the subject to leave its idealism rather than confront the corrupt leader despite their disgust of the corruption and their aspiration to improve the village. As the representation of reality, it is critical as the ideological fantasy of social harmony causes the lower-class villagers to postpone resisting the corrupt village head to maintain peace, providing chances for any kind of violences thrive in real life.
Deep Learning Models Used for Crop Analysis: A Review
Authors: Ratnaparkhi Nayana S.
Published: November 2024

The development and improvement to map agricultural land cover are major challenges for researchers. For the sustainable development of agronomics spatial information about agricultural practices plays a vital role. Remote sensing satellite imagery is a valuable aid in providing and understanding this spatial distribution of agricultural practices. The aim of this paper is to provide a better understanding of capabilities of satellite images for agricultural land cover mapping through the use of deep learning techniques. The global coverage , rich spectral and spatial information and repetitive nature of remote sensing(RS) data have made them effective tools for mapping crop extents and yield prediction. This paper explores wide ranging review of research papers and articles on deep learning algorithms for image processing and predictions in the field of agriculture. The DL algorithms has attained remarkable success in different fields of RS and its use in crop monitoring. This review systematically identified 40 research papers from peer reviewed scientific publications related to sensors, platforms, input features, training data, spatial distribution of study sites. This article provides a concise summary of major DL algorithms, including concepts, limitations, implementation, to help researchers in agriculture to gain a holistic picture of major DL techniques quickly.
Driver Drowsiness Detection (SLEEP GUARDIAN)
Authors: Pandey Vishal
Published: November 2024

Drowsiness detection system can detect the possibility of sleep using AI. Drowsiness detection systems have gained significant attention in recent years due to their potential to enhance road safety and prevent accidents caused by driver fatigue. A dedicated eye tracking module monitors eye movement and blink frequency to detect signs of fatigue. This drowsiness detection system will work on dataset in the first stage comparing with the base research paper , showing its advantages and the next stage how 2 or more different modules can be clubbed together to make it a ready to run in today’s scenario with all the different problems with the highest efficiency . Making this system in python gives a wide range of options to explore , help to reach open cv libraries where we can use different types of data set and check whether the driver is awake or not.
Developing school laboratory activities design by utilizing android-based digital applications in savanna ecosystem of Ranca Upas
Authors: Nurahman Alfyn Abdan , Fadilah Solikhah Isti , Cahyani Raditha Putri , Hadistia Nabilla , Siregar Nurul Faizah
Published: November 2024

Smartphone utilizing in learning was widely implemented in the digital technology era. This research aims to utilize Android-based digital applications to develop laboratory activity designs in the savanna ecosystem of the Ranca Upas, Ciwidey, West Java. The descriptive method was used to analyze the quality of existing laboratory activity design and develop alternative laboratory activity design to support student practicum. The reconstruction explanation was carried out following the stages analyze, create, try, and reconstruct (ANBUCOR). The initial stage involved analyzing laboratory activity design from the aspects of curriculum, competence, practicality, and knowledge construction. The pilot test showed that the Android digital application provided clear and systematic guidance for students in laboratory activities, with features for measuring abiotic factors, species identification, and observation notes. Based on the feasibility analysis according to the Vee diagram. Laboratory activity design is classified as feasible but requires adjusting the objects identified in the procedure and leading questions with focus questions. Final reconstruction was conducted based on the test team's feedback and Vee diagram analysis. The results showed that the application made the practical learning more interactive and improved students' understanding of the savanna ecosystem. The revised laboratory activity design serves as an effective reference for teachers and students in out-of-class laboratory activities.
CEO Dualism and Corporate Value: A Digital Corporate Governance Perspective
Authors: Galuh Febrianto Hendra , Mikrad  , Eky Pambudi Januar
Published: November 2024

Research aims:  The aim of this research isto test and analyze the influence of CEO dualism on digital governance, General Meeting of Shareholders (GMS) and Cash ETR. Then digital corporate governance, and Cash ETR influence firm value.
Design/Methodology/Approach: This research uses a quantitative approach based on associative-causality. As for the data collection techniques used in this research, it is the study of libraries and documentation of secondary data. This study uses path analysis (Path Analysis).
Research findings: The results of this study are CEO dualism giving positive and significant influence on digital corporate governance, GMS and Cash ETR. In addition, digital corporate governance and Cash RTR also give positive and meaningful influence to firm value.
Theoretical contribution/ Originality: The research provides a theoretical contribution that in discussing agency theory and stewardship theory there is a gap where the interests of managers that are always different in the interest of stakeholders have a gap with the theory of stewardships that wants the existence of managers to take precedence on cohesion, partnership, empowerment and mutual trust. 
Practitioner/Policy implication: The policy implications obtained in this study are the importance of the government in elevating policies in particular that relate to taxes on companies that already involve management as well as digital transactions as planned by the OECD.
Research limitation/Implication: The research has the limitation that companies that go public on the Indonesian stock exchange have not fully implemented digital governance and implemented GMS digitally, so not all consumer goods companies are listed as samples of research.
3P (Propel, Plunge, Portray): A Reflective Analysis Of The Accountant's Role In Embedding Sustainability In MSMEs
Authors: Ika wahyuni Nining , Ganis Sukoharsono Eko , Roekhudin  , Baridwan Zaki
Published: November 2024

Purpose: This research aims to construct the role of accountants in embedding sustainable business practices in MSMEs.
Methodology/approach: In constructing the role, the researcher used a participatory action research (PAR) approach. To represent various types of accounting professions, this study used accountant educators as participants. Data were collected through observations, interviews, and group discussion forums. After going through a triangulation process to check its validity, the data was then processed by thematic analysis.
Findings: This research successfully constructs the role of accountants in instilling sustainable business practices consisting of three role pillars, namely 3P: propel, plunge, and portray. The three pillars mean that the accountant is a figure capable of being a propel to move every business towards more sustainable conditions. Accountants can act as sustainability change agents by plunging directly into business practices to motivate, facilitate and initiate sustainable business practices. Accountants are also someone who can portray sustainable business practices carried out by a business entity by acting as a preparer of sustainability reports.
Practical implications: The results of this study suggest that with this triple role, accountants can further increase their contribution in assisting business entities in implementing the triple bottom line.
Originality/value: The research uses an action research approach in the field of sustainability accounting.
Analysis of Student's Difficulty in Solving Mathematical Problems in Linear Programs
Authors: Fitrieyah Imamah Dien , Mabrouk Anouar Ben
Published: November 2024

This research aims to analyze students' difficulties in solving mathematical problems on linear programming material using qualitative descriptive methods based on the Polya heuristic. This research involved students with high, medium, and low abilities through analysis of written tests and student interviews. Data was collected from 30 class XI students at SMA X using specially designed written tests and in-depth interviews. Data analysis was carried out using thematic analysis techniques. The research results show that students with high abilities do not experience difficulties in working on contextual problems in linear programming material. Students with moderate abilities experience difficulty in determining the sign of inequality and the set of solution areas. Meanwhile, students with low abilities experience difficulties in various aspects, including understanding basic concepts and applying problem-solving steps. Specific examples of difficulties experienced include errors in drawing graphs and determining intersection points. As a recommendation, teachers are advised to introduce and explain problem-solving according to Polya's heuristics more concretely and systematically. For example, using Polya steps in varied practice sessions and providing specific feedback at each stage of problem-solving. In this way, students' understanding of linear programming material can be significantly improved.
Transformation of Learning Media Through TikTok: A Qualitative Study of the Influence of Viral Media "UBUR-UBUR"
Authors: Vedianty Adinda Syalsabilla Aidha , Lestari Andika Setyo Budi , Rayungsari Maya
Published: November 2024

Technological developments have brought significant changes in learning methods. This research aims to explore the transformation of mathematics learning media through TikTok with a focus on the influence of viral content with the theme "Ubur-uber". The research methodology used is qualitative with a phenomenological approach. Data was collected through direct observation and analysis of relevant TikTok content. From the results of observations, 50 Ubur-uber-themed videos were selected based on the criteria of popularity and user interaction. Data were analyzed using thematic analysis techniques to identify main patterns and themes. The focus of the research lies in the use of Ubur-Ubur content in mathematics learning media and its impact on the teaching and learning process. The findings show that TikTok is an effective platform in the world of education, where viral Ubur-Ubur content has succeeded in making mathematics learning more interesting and efficient for students and educators. Concrete examples include increased student participation in class discussions and a better understanding of the material. The results of this research show that learning media innovation through platforms such as TikTok can make a positive contribution to the world of education. However, it was discovered that the Ubur-Ubur content on TikTok has never been researched and published in a national or international journal to test its effectiveness in terms of the validity of the media used, etc. This shows that this media is only a learning innovation, especially mathematics. By leveraging the viral nature of Ubur-Ubur content, educators can create more dynamic and interactive learning experiences. This research provides insight into the potential of TikTok as an effective educational tool and opens up opportunities for further exploration of the use of social media for educational purposes, especially in mathematics subjects.
Teacher well-being and teaching quality: The mediating role of work engagement
Authors: Zhou Yuan
Published: November 2024

This study explored the association between teacher well-being and teaching quality, focusing on the intermediary role of work engagement. Data were gathered using a paper-based questionnaire administered to 555 university and college teachers from six schools in China, and processed
using structural equation modeling. The findings suggested there was a positive link between teacher well-being and teaching quality, with work engagement serving as a mediator between these two variables. The implications of these results for educational practices are discussed, along with
potential directions for future research.
Overweight/obesity and depressed mood in Chinese adults: A stratified test
Authors: Xie Siyuan , Hu Shunding , Feng Xiaosu
Published: November 2024

This study investigated the relationship between overweight/obesity and depressed mood in Chinese adults, examining the influence of factors such as age, gender, and place of residence. We conducted statistical tests on data from 10,833 participants of the 2018 Chinese General Social
Survey (CGSS), using multiple linear regression analysis and stratified linear regression analysis. The results showed a significant and negative association between overweight/obesity and depressed mood, in which those who were overweight/obese had fewer instances of depressed mood. We found
the negative correlation between overweight/obesity and depressed mood to be more significant in the Fortunate Generation cohort group and the urban group, and there was also a significant and negative association between overweight/obesity and depressed mood for men. These findings clarify
the association between overweight/obesity and depressed mood as well as provide guidance for the development of relevant policies that target prevention and control.
How does social capital promote rural returnee entrepreneurs' entrepreneurial persistence?
Authors: Huang Meijiao , Zhao Rongrong
Published: November 2024

Entrepreneurial persistence is pivotal for entrepreneurial success. In this crosssectional study, we drew on social capital theory, social support theory, and social cognitive theory to examine the predictive effect of social capital on entrepreneurial persistence among rural returnee
entrepreneurs in China. Analyses of data collected from a sample of 344 rural migrant workers who had founded businesses upon returning to their hometown revealed a positive association between social capital and entrepreneurial persistence. Further, social support was a significant mediator
in this relationship. By integrating social and individual factors, this study offers novel insights and practical implications for understanding and fostering entrepreneurial persistence among rural returnee entrepreneurs.
Diagnosis of Difficulties Faced by Students of Mathematics Education Program at IAIN Lhokseumawe In Understanding Indefinite Integral
Authors: Lisa Lisa , Amin Fauzi Kms. Muhammad , Sitompul Pardomuan
Published: November 2024

Understanding the concepts and solving problems in the integral calculus course is the problem most often faced by students during the learning process. Therefore, an analysis must be made of the types of learning difficulties faced by students in integral calculus courses, especially indeterminate integrals. The purpose of this research is to identify what problems students face when solving indeterminate integral problems in integral calculus courses. The results are expected to provide an overview of the types of learning challenges faced by students while studying. The type of research used iscase study research with a qualitative approach. The research subjects were 20 students from the second semester of unit 1 of IAIN Lhokseumawe's Tadris Mathematics study programme. The results showed that there were three learning difficulties faced by students, namely Type I (Rigour), Type II (Concept Understanding) and Type III (Calculation Process).
Influence of Environmental, Governance and Reputational Factors on the Performance of Delegated Investments: Exploring the Mediating Role of Overconfidence Bias and Investment Decisions in Pakistan
Authors:   Research Scholar, Karachi University Business School, University of Karachi, Begum Rukhshinda , Ahmed Siddiqui Danish ,   Associate Professor, Karachi University Business School, University of Karachi
Published: November 2024

This study is envisioned to test the conditional impact of soft factors on the performance of investment professionals in Pakistan. Hence, we proposed a theoretical framework, contending that soft factors namely; corporate culture, corporate governance, potential of company's management, environment, reputation, trust, and social factors, create behavioral biases in investment decisions. These biases including investor sentiment, over confidence, over/under reaction, and herd behavior in turn affect decision-making, which as a result affects the performance of investment professionals. A sample size of 300 is applied for selecting individual professionals in Pakistan by judgmental sampling technique in order to record responses through a closed ended questionnaire based on a five degree Likert scale. However, 248 responses are short-listed out of the 265 responses collected based on their relevance to the study. These responses are analyzed through the use of multivariate techniques, by the use of SmartPLS4. The study discovered the significant mediating effects of investor biases and investment decisions on the performance of investment professionals in Pakistan. Full mediation (Baron & Kenny , 1986) of investor biases and investment decisions between the relationship of soft factors and the performance of investment professionals has been witnessed from the results of study, as per latent variable scores (LVS) of soft factors. The further analysis shows that if soft factors are combined with overconfidence bias then result in the positive influence over the long-term investment decisions and performance of the investment professionals in Pakistan. The results of the study contribute to the body of literature related to behavioral finance and provide valuable insights for long term investors while deciding to delegate their investments to investment professionals for maximizing returns. This might involve conducting thorough due diligence on professionals' track records, communication styles, and ability to manage behavioral biases.
An investigation of plastic deformation behaviour of Nb-V microalloyed steel produced by powder metallurgy
Authors: Taştemür D. , Gündüz S.
Published: November 2024

In this study, microalloyed Nb-V steel was produced and sintered at 1150?C for 1 h followed by cooling in furnace. While one of the sintered samples was used in the sintered state, the other was air cooled at 1150?C for 1 hour after homogenization heat treatment. The remaining samples were deformed at 20%, 40% and 60% in the temperature range of 1150-930?C and then cooled in air. The microstructure and the formation of precipitates in the samples were investigated using an optic microscope, scanning electron microscope and energy dispersive spectroscopy analyses. It was found that the samples under homogenized and 20%, 40% or 60% deformed conditions had a smaller grain size but higher volume fractions of ferrite. This indicates that grain refinement and ferrite formation are accelerated by the deformation which affects the nucleation rate of the ferrite. The yield strength, hardness and density also increased with increasing deformation rate.
Characterizations and boron diffusion modelling on the AISI H13 steel
Authors: Ortiz-Domínguez M. , Keddam M. , Morales-Robles Á.J.
Published: November 2024

A kinetic approach accounting for the linearity of boron profiles through the boronized layers on AISI H13 steel was developed. It aims to track the temporal evolution of the thicknesses of the FeB and (FeB + Fe2B) layers by considering new expressions for the mass balance equation at each growth front. These surface layers were generated by pack boronizing of AISI H13 steel in the temperature range of 1123 to 1273 K for duration ranging from 2 to 8 h. Finally, this linear model has been validated for two other sets of processing parameters (1323 K for 4.5 and 8.5 h). Iso-thickness diagrams were also proposed to optimize the thickness of the layers for targeted industrial usage.
Acute treatment of elderly patients with acetabular fractures by open reduction, internal fixation, and total hip arthroplasty: a 1–10-year follow-up of 48 patients
Authors: Kirkeboe Ragnhild Loven , Madsen Jan Erik , Nordsletten Lars , Clarke-Jenssen John
Published: November 2024

Background and purpose: Acetabular fractures in osteoporotic bone are associated with substantial joint impaction and comminution, previously shown to be prognostic for a poor result. A combined procedure of open reduction, internal fixation (ORIF), and total hip arthroplasty (THA) can be a good option, allowing for immediate weightbearing as tolerated. We report short- to medium-term outcome and complications of the results of patients treated with this combined procedure.Methods: 48 cases treated with ORIF and acute THA from 2000 to 2019 were identified from our local pelvic fracture registry, from which follow-up data was extracted. Descriptive statistics were used and Kaplan–Meier survival curves were calculated. Primary outcome was HHS at 1 year. Secondary outcomes were implant survival, complications requiring surgery, and mortality at 3 months.Results: There were 37 men and 11 women treated in the study period. Mean age was 68 (37–87) years. 6 patients died within 3 months of surgery, leaving 42 cases available for follow-up. Mean follow-up (FU) was 2.8 (1–16) years. The most common mechanism of injury was fall from standing height (n = 36). Medical comorbidities were common. Mean Harris Hip Score (HHS) was 83 (51–100) at 1-year follow-up. There were 7 reoperations: 6 for postoperative infection and 1 closed reduction of implant dislocation. 38 had their implant intact at latest FU. At the latest FU, 28 patients were ambulatory without a walking aid.Conclusion: Our results indicate that ORIF and acute THA can be performed with good functional results in patients with unreconstructable displaced acetabular fractures, but with a significant risk of infection and revision.
Development of wavelength dispersion measurement method using Fresnel reflection of fiber under test at both end faces
Authors: Shinzaki Kotaro , Yoshida Minoru
Published: November 2024

The phase shift method is generally used for wavelength (chromatic) dispersion measurement of optical fibers. However, the phase shift method requires a long fiber under test (FUT) of several hundred meters or more to obtain high temporal resolution. Therefore, measuring specialty fibers with short production lengths and amplification fibers that absorb light at specific wavelengths used for fiber lasers is difficult with this method. We have developed a method to measure the beat spectrum, by incident, an incoherent tunable light source (I-TLS) composed of amplified spontaneous emission (ASE) to a FUT. The FUT constitutes a Fabry–Perot resonator using Fresnel reflections at both end faces of the fiber. Chromatic dispersion can be calculated from the wavelength dependence of the refractive indices of the FUT, enabling measurement with short fiber lengths. The standard deviation of the chromatic dispersion @1550 nm was 0.352 ps/(nm km) based on five measurements of a FUT of approximately 3 m. The error between the manufacturer's measurement of chromatic dispersion @1550 nm, and the average value measured in this study was measured at 0.56%, indicating that it can be measured with very high accuracy.
XIDINTV: XGBoost-based intrusion detection of imbalance network traffic via variational auto-encoder
Authors:   Euromed University of Fes, UEMF, Morocco, Abdulganiyu O. H. , Ait Tchaoucht T. ,   Euromed University of Fes, UEMF, Morocco, Ezziyyani M. ,   Mathematical Laboratory and Applications, Abdelmalek Essaadi University Faculty of Science and Technology, Tangier, Morocco, Benslimane M. ,   Laboratory of Sciences, Engineering and Management, Sidi Mohamed Ben Abdellah University, Morocco
Published: November 2024

In networks characterized by imbalanced traffic, detecting malicious cyber-attacks poses a significant challenge due to their ability to blend seamlessly with regular data volumes. This creates a formidable hurdle for Network Intrusion Detection Systems (NIDS) striving for accurate and timely identification. The imbalance in normal and attack data, coupled with the diversity among attack categories, complicates intrusion detection. This research proposes a novel approach to address this issue by combining Extreme Gradient Boosting with variational autoencoder (XIDINTV). The methodology focuses on rectifying class imbalance by generating diverse rare-class attack data while maintaining similarities with the original samples. This enhances the classifier's ability to discern differences during training, improving classification performance. Evaluations on NSL-KDD and CSE-CIC-IDS2018 datasets demonstrate the effectiveness of XIDINTV, particularly when compared to SMOTE sampling technique and traditional classification models, with Xtreme Gradient Boosting excelling in detecting rare instances of attack traffic.
Reasons behind the Water Crisis and Its Potential Health Outcomes
Authors: Emran Md. Galib Ishraq , Barma Rhidi , Khan Akram Hussain , Roy Mrinmoy
Published: November 2024

Globally, the water crisis has become a significant problem that affects developing and industrialized nations. Water shortage can harm public health by increasing the chance of contracting water-borne diseases, dehydration, and malnutrition. This study aims to examine the causes of the water problem and its likely effects on human health. The study scrutinizes the reasons behind the water crisis, including population increase, climate change, and inefficient water management techniques. The results of a lack of water on human health, such as the spread of infectious diseases, a higher risk of starvation and dehydration, and psychological stress, are also concealed in the study. The research further suggests several ways to deal with the water situation and lessen its potential outcomes on human health. These remedies include enhanced sanitation and hygiene procedures, water management, and conservation techniques like rainwater gathering and wastewater recycling.
The Roundabout at the Edge of the World: Subsea Tunnels, the Sea and the Islands
Authors: Gaini Firouz
Published: November 2024

This paper is based on the thesis that there is a ‘sea change’ in the Faroe Islands (Faroes) of the twenty-first century, and that this multi-layered transformation in more than a symbolic understanding is brought about by the sea. Submarine space is being appropriated in futuristic infrastructure projects continentalising the Nordic Atlantic society. The relationship between the world above and the world below the sea is reconfigured, and the new vertical landscape gives us the opportunity to reassess images of island communities and ask the question: what is an island? The resurgence of the aquatic space in the lives of the islanders, soaking their cultural identities, is explored through the landscape of roads and tunnels in the Faroe Islands, with special focus on the subsea roundabout between the islands of Eysturoy and Streymoy. The paper argues that the tunnels not only connect previously separated islands, and centre with periphery, but also represent an avenue to a new water-land symbiosis in society. Life might be dryer than it was in the old days, but water continues to be the main source of cultural imagination, wealth, health, and futurity among island dwellers. Drawing on anthropological island studies, this paper represents an island perspective on what it means to conquer the sea-land frontier and to build a future through underground passageways.
GENERATIVE ARTIFICIAL INTELLIGENCE IN ACTION: ENHANCING PRODUCTIVITY AND MANAGEMENT EFFICIENCY
Authors: PUGACHEVA O.V.
Published: November 2024

This article presents a critical analysis of the influence of generative artificial intelligence (GenAI) on the productivity of key organizational leaders (KOLs), regardless of industry. Specific attention is paid to exploring the potential application of GenAI in enhancing managerial functions, streamlining certain tasks, and integrating seamlessly into existing processes. The research aims to classify GenAI and evaluate its potential impact on productivity. It also aims to describe tested instances of GenAI application in KOL workflows for improved efficiency and output, and to propose a step-by-step guide for the implementation of GenAI tools. This study is relevant due to the need to incorporate advanced technologies into organizational processes to enhance organizational competitiveness in the face of a rapidly evolving business landscape. The study employs a systematic and comparative analysis of analytical reports and academic databases from the period 2023-2024 in order to review the use and impact of GenAI on productivity across various functions and industries. The analysis also includes modeling methods for evaluating the proposed recommendations. As a result of this analytical review, a classification of modern approaches to the use of GenAI in management was developed. Options for using GenAI for day-to-day KOL work are proposed. Additionally, an approach to implementing GenAI tools has been suggested.
Analysis in space bundles based on U(1,1) and U(2) groups: cases of SU(2,2)-actions in their 2- and 4-coverings
Authors: Levichev A.V. , Palyanov A.Yu.
Published: November 2024

In this paper, which is a direct continuation of the previous article by the same authors (A.V. Levichev, A.Yu. Palyanov, Matematicheskie struktur i modelirovanie, 2016, no. 4(40), pp. 24-38), the derivation of the methods necessary for the analysis of homogeneous vector bundles based on the parallelizing group $U(1,1)$ is continued. In particular, the issue of compatibility (introduced by Panaitz and Segal) {\it the consistency condition} with $SU(2,2)$-actions in $U(1,1), U(2)$ and in their 2- and 4-coverings is studied. In the context of $U(2)$-parallelization, inaccuracies in the proof of the validity of the Paneitz-Segal formula (technically important when working with induced representations) have been corrected (see Corollary 4.1.2 of S.M.~Paneitz and I.E. Segal, J. Funct. Anal., $\bf 47$(1982), p. 78-142).
Constructor of models of subjects of reflexive games: version 1
Authors: Filimonov V.A.
Published: November 2024

The constructor of subjects of reflexive games is considered as a component of reflexive control support in the project "Gen-Guru". The project is implemented using cross-technologies of the situational center. The key ideas of the system of models of V.A. Lefebvre are analyzed. The variants of detailing the models for increasing the accuracy of modeling situations are listed. The specifics of modeling such subjects as individuals and robots are considered.
Methodological pragmatism of problem-oriented teaching of mathematics
Authors: Mikhailova N.V.
Published: November 2024

The article is devoted to problem-oriented teaching of higher mathematics based on a problem-based approach to specific tasks and the idea of ​​methodological pragmatism, which is expressed in criticism of the idea of ​​absolute justification of mathematics and educational argumentation.
Can Mass Be Negative?
Authors: Kreinovich V. , Soloviev S.
Published: November 2024

Overcoming the force of gravity is an important part of space travel and a significant obstacle preventing many seemingly reasonable space travel schemes to become practical. Science fiction writers like to imagine materials that may help to make space travel easier. Negative mass - supposedly causing anti-gravity - is one of the popular ideas in this regard. But can mass be negative? In this paper, we show that negative masses are not possible - their existence would enable us to create energy out of nothing, which contradicts to the energy conservation law.
Algorithm for calculating the block criterion of interval predictability of a dynamic indicator based on the Tarsitano-Lombardo coefficient
Authors: Krakowsky Yu.M. , Luzgin A.N.
Published: November 2024

An algorithm for calculating the block criterion of interval predictability of a dynamic indicator based on the nonparametric Tarsitano-Lombardo correlation coefficient is proposed and tested. It is experimentally shown that the value of the block criterion of interval predictability calculated based on the history of the dynamic indicator allows one to quantitatively assess the feasibility of interval forecasting of the dynamic indicator based on its statistical properties. Interval forecasting consists in determining an interval (out of two predetermined ones) in which the future value of the indicator will be located based on the probability estimates of these events. In this case, the dividing boundary of the intervals is set by calculation based on the statistical properties of the dynamic indicator. The proposed algorithm for calculating the block criterion of interval predictability of a dynamic indicator is implemented in a programming language.
Offshore reporting of radiologic examinations supplementing healthcare delivery worthy of Medicare reimbursement
Authors: Kalyanpur Arjun , Mathur Neetika
Published: November 2024

Medicare, a major healthcare program under the Centers for Medicare & Medicaid Services (CMS) has extended telemedicine services within several states in the US for different specialties for which it reimburses in order to establish a qualitative and accessible healthcare system. In parallel, it has been seen that teleradiology services by American Board Certified radiologists based offshore can significantly supplement healthcare delivery in the US by mitigating the shortage of radiologists and enhance outcomes of patient care especially for after-hours emergency work. Teleradiology can help workflow by improving workload distribution, lowering the cost of reporting, shortening turn-around-time for reports, and improving quality of life for staff. The aim of the article is to provide perspective on Medicare reimbursement of offshore telereporting services. We submit that due to its value proposition and contribution to healthcare, offshore telereporting by American Board Certified Radiologists is worthy of Medicare reimbursement and should be re-evaluated for its credits.
Opportunities and challenges of going public as a SME in Hungary
Authors: Ambrus Rita Anna , Játékos Judit Fábiánné
Published: November 2024

Nowadays, finding a suitable solution to the problem of generational change in case of small and medium-size enterprises (SMEs) is becoming increasingly challenging. The aim of this research to investigate whether entering into the stock exchange could be a realistic alternative for Hungarian companies to eliminate this issue. This study reviews the process of Initial Public Offering (IPO) and summarises the advantages and the difficulties of going public. The paper focuses on the opportunities for value creation and saving offered to SMEs by listing on the stock exchange. As primary research on practical experiences, semi-structured in-depth interviews were conducted with the managers of 10 involved companies, and some financial indicators were examined. The research does not cover all relevant companies; however, it is still suitable for drawing a conclusion. The presence on the stock market proved to be useful for the companies and played a significant role in the preservation of the company’s value as well as in financing opportunities. The path demonstrated in this article is suitable for other businesses to follow the pioneers.
Outcomes and complications of closed vs open rhinoplasty: a systematic review
Authors: Alamri Abdullah , Alameer Abdullah , Tawfiq Ibrahim , Alanazi Dalia , Saad Sumaya , Alatoui Shahad , Alqahtani Abdullah , Alghamdi Omar , Alali Hatoun , Alfehaid Mohammed
Published: November 2024

This review aimed to comprehensively evaluate and compare the outcomes and complications associated with closed versus open rhinoplasty. It focused on key factors like operative times, post-operative complications, and overall patient satisfaction. A comprehensive computerized search of pertinent databases was carried out to find research that satisfied the requirements for inclusion. To locate relevant studies, PubMed, SCOPUS, Science Direct, Cochrane Library, and Web of Science were all searched. The current analysis included seven studies with a total of 375 patients who underwent rhinoplasty; of which 171 were in the open group and 204 in the closed group. Males comprised less than half of the participants, totaling 168 (44.8%). The comparison between open and closed rhinoplasty revealed that the closed approach generally results in less discomfort, less severe eyelid edema, and reduced periorbital ecchymosis as compared to the open approach. Both methods showed no significant differences in postoperative outcomes such as septocolumellar stitch placement, and functional improvement. The endonasal (closed) technique also demonstrated shorter operational times and lower costs. However, open rhinoplasty showed higher patient satisfaction and a lower reoperation rate, particularly for complex nasal tip conditions. Both open and closed rhinoplasty techniques offer valuable benefits depending on the complexity of the case, with the closed approach excelling in quick recovery and reduced scarring, while the open method provides better precision for complex cases. However, due to the variability in the studies reviewed, the findings remain inconclusive. To conclusively identify whether the approach is best, more study is required.