Findings Of Study Research Articles

The Precision of All-on-Four Implant Position Recorded from Three Different CBCT Machines.

To investigate the dimensional discrepancy and degree of deviation of All-on-Four implant position between different cone-beam computed tomography (CBCT) machines. Four implants (4.5 × 10 mm Superline II, Dentium, South Korea) were placed in an All-on-Four style in an artificial mandible. The jaw was radiated 30 times using three different CBCT machines (Rainbow CT, Dentium; Veraview X800, Morita, Japan; Planmeca Viso G3, Planmeca OY, Finland). A total of 30 Digital Imaging and Communications in Medicine (DICOM) files were exported, n = 10. All-on-Four implants from each DICOM file were segmented and exported as an STL file (three-dimensional image) using Blue Sky Plan software (version 4.12.13/Blue Sky Bio, United States). All-on-Four implant zone dimensions (X, Y, and Z axes) and the total degree of deviation between All-on-Four implants per CBCT machine were measured using Autodesk Meshmixer software (version 3.5.474/California, United States). The data distribution's normality and variances' equality were tested with Shapiro-Wilk's and Levene's tests, respectively (p-value < 0.05). Data were analyzed using Brown-Forsythe one-way analysis of variance and Tamhane's post hoc tests to compare the differences between the groups (p-value <0.05). The respective X, Y, and Z mean dimensions of the All-on-Four implant zone were: Dentium (34.95, 14.71, and 9.97); Morita (34.88, 14.74, and 10.56); and Planmeca (34.73, 15.15, and 12.33). Significant differences between CBCT machines were found in all axes (p-value < 0.05); however, the Z-axis had the most differences. Notably, Planmeca exhibited the highest standard deviation (SD) in all axes (0.16-0.35), exhibiting the lowest consistency in the CBCT machines' readings. The Dentium exhibited the lowest deviation in the implant position, with the lowest SD (0.61). A significant difference in the total degree of deviation was spotted when only Morita was included in the comparison (p-value < 0.05). This study's findings are of significant importance as they reveal that the implant position recorded from the CBCT machines was most discrepant in the buccolingual dimension (Z-axis). Planmeca exhibited the least implant-dimensional accuracy of the CBCT machines, while Dentium exhibited the highest implant position accuracy. These results could significantly impact the choice of CBCT machine for implant placement, especially since an accurate CBCT image is crucial for digital implant planning.

Wilderness networks contributed the efforts of existing protected area networks: The cost-effective comparison among multiple conservation scenarios

Biodiversity loss is a pressing global issue, with protected areas and Other Effective Area-Based Conservation Measures (OECMs) identified as crucial strategies for conservation. This study investigates the contribution of wilderness networks beyond existing protected areas to biodiversity conservation in Central Asia, proposing a comprehensive framework for wilderness network assessment and identifying potential OECM areas. Using Boolean overlay and weighted linear combination approach, the research delineated core wilderness patches and assessed their spatial relationship with existing protected area. The study employed multi-scenario assessment framework to reconstruct twelve landscape ecological networks, results exposed the potential of wilderness networks as supplementary areas to existing protected area networks. The study also identified 241 critical pinch points essential for maintaining regional wildlife habitat connectivity and species migration. The research advocates for the integration of wilderness networks with OECMs to achieve the 30×30 conservation goal. The study's findings underscore need for additional conservation measures beyond existing protected areas and importance of considering human activity disturbances, maintaining landscape connectivity, as well as evaluating cost-effective conservation strategies. It also highlights the necessity for cross-border collaboration in regional-scale wilderness research. This study contributes to the planning and development of policies for wilderness conservation and provides a replicable framework for similar global assessments.

Changing Attitudes Towards People with Disabilities in a Positive Direction: A Pilot Practice of Psychoeducation in Primary Education

Background: Acceptance by society and a sense of belonging are fundamental needs, second only to physiological requirements. However, discrimination, involving the exclusion of individuals perceived as different and less worthy, remains a pervasive issue in almost every society. Those most adversely affected by this problem are often people with disabilities. This study aimed to assess the impact of a multi-component psychoeducational program on the attitudes of children with typical development toward peers with disabilities during middle childhood. Participants and procedure: An experimental study was conducted, involving 61 students aged 9-12 attending primary school. The pretest-posttest results of the experimental, placebo, and control groups were compared at the end of the study. Results: The psychoeducational program was found to significantly enhance the attitudes of typically developing children toward their peers with disabilities. Specifically, statistically significant differences were observed in the avoidance dimension and the total attitude score among typically developing children in the experimental, placebo, and control groups. However, no significance was found in the dimensions of acceptance, pity, and sense of similarity. Conclusions: The study's findings are expected to contribute to preventive and intervention programs designed to foster positive attitudes towards people with disabilities in primary education.

Causes of occupational stress and burnout amongst administrative staff in public universities: case of Pakistan

PurposeThe primary aim of this study is to delve into the causes of occupational stress and burnout amongst administrative staff members in Pakistani universities. It does so by employing a qualitative research strategy, offering a comprehensive understanding of the issue.Design/methodology/approachThis study uses a qualitative research strategy to examine the causes of occupational stress and burnout amongst administrative staff members in Pakistani universities. Around 20 semi-structured interviews were conducted via Teams with administrative employees in renowned universities in Rawalpindi, Islamabad and the Lahore region of Pakistan. Saldana's (2014) structured inductive data analysis method was used to analyse the collected data.FindingsThe study sheds light on the harsh realities faced by university administrative staff in Pakistani universities. These include top management ineffectiveness, role ambiguity, role conflict, favouritism, inequality, a communication gap with higher authorities, disparity of rewards and recognition, no career paths and opportunities, feeble leadership, corruption, inappropriate use of power, mishandling of qualified staff and non-acceptance of shifting roles from administration to academia. These are not just academic concepts but real-life challenges that demand immediate attention.Originality/valueThe study's findings have significant implications for Pakistan's Ministry of Education. Based on these findings, the recommendations proposed can serve as a roadmap for enhancing interpersonal development, implementing career development programmes, succession planning and supporting university administrative staff. These initiatives can lay the groundwork for achieving the UN Sustainable Development Goal-4 targets, making this research a valuable resource for policymakers.

From mindset to market: unveiling the nexus of cognition, behavior and environment in igniting students’ E-entrepreneurial intentions

PurposeIndia has witnessed a significant surge in internet users in recent years, creating an ideal environment for E-entrepreneurship. With the rise of E-commerce and the growth of the digital economy, there is tremendous potential for online businesses in developing nations. Our study outlines the behavioral, cognitive, and environmental aspects shaping students' E-entrepreneurial intentions (EEI).Design/methodology/approachOur study incorporated structural equation modeling (SEM), social cognitive theory (SCT), and entrepreneurial event model (EEM) to evaluate the EEI of 460 students from India's top five engineering institutes. The direct and indirect linkages in the model were examined by employing mediation and moderation analysis.FindingsOur findings reveal that behavioral, environmental, and cognitive factors facilitate evaluating feasibility, further igniting students' EEI. The cognitive factors and E-entrepreneurial feasibility (EEF) mediate the relationship between the underlying constructs. Furthermore, financial resource availability (FRA) strengthens, and loss aversion bias(LAB) weakens the linkage between EEF and EEM.Research limitations/implicationsThe study's findings may benefit online innovation communities, potential technopreneurs, financial institutions, and policymakers in improving the entrepreneurial ecosystem.Originality/valueThe study integrates psychological and sociological perspectives to understand the key facilitators of EEF and EEI. The study combines SCT and the EEM by appending crucial constructs such as FRA and LAB to broaden the horizons of EEI.

E-waste Management Practices: A Case of Itahari Sub-Metropolitan City, Nepal

The fast deterioration of electronic gadgets is being caused by the highly competitive electronic market and the rising purchasing patterns of consumers. It can be difficult to handle electronics when their useful lives are ending and when they are replaced or thrown away for various reasons over time. This research aims to comprehend the viewpoint of electronics consumers regarding managing their electronic waste, with a particular focus on Itahari Sub-Metropolitan City's ward no. 05. The factors found in the literature were used to create questionnaires. The questions were created using various sources, including socioeconomic and demographic data, information on E-waste generation and disposal practices, consumer intentions toward E-waste management, and awareness levels. The study's findings demonstrated that while consumers were aware of the issues surrounding E-waste, they lacked a significant amount of knowledge regarding formal recycling centers and other strategies for managing waste. Additionally, it was seen that most respondents were either willing to sell their televisions and desktop computers to scrap traders or wanted to repair them. For instance, the majority of participants reported never receiving any E-waste management training, but many also claimed they would be prepared to pay the E-waste handling organization to participate in E-waste management programs and hence, Itahari Sub-Metropolitan is advised to undertake community-based initiatives to improve E-waste management programs.

The Development of Normative Fitness Data and Analyzing the Relationships Between 20MSFT and 2.4-km Run Performance in Australian Police Recruits.

Campbell, P, Maupin, D, Lockie, RG, Dawes, JJ, Simas, V, Canetti, E, Schram, B, and Orr, R. The development of normative fitness data and analyzing the relationships between 20MSFT and 2.4-km run performance in Australian police recruits. J Strength Cond Res XX(X): 000-000, 2024-Aerobic fitness testing plays a significant role in the academy training of law enforcement recruits. There is a lack of normative data for law enforcement recruits and substantial interchangeability for choice of field-based aerobic tests. Therefore, this study aimed to develop normative percentile rankings for the 20-m multistage fitness tests (20MSFT) and 2.4-km run specific to law enforcement recruits; and to analyze the relationship between the 2 tests by linear regression. Data from 5 cohorts of law enforcement recruits completing 20MSFT (n = 1,536) and 2.4-km run (n = 1,499) testing during basic training at an Australian Police Academy were retrospectively analyzed. Percentile ranks were calculated (20th, 40th, 50th, 60th, 80th, and 99th) based on the number of shuttles completed and time (seconds) to complete the 2.4-km run. Results were split by sex and age (i.e., <20 years, 20-29 years, 30-39 years, and 40-49 years). Linear regression analyzed the relationship between the 20MSFT to the 2.4-km run (using both seconds and km·h-1), producing predictive equations to translate scores between the 2 assessments. These data presented the first detailed normative values by age and sex for Australian law enforcement recruits. Furthermore, the results demonstrated regression models could explain 65-74% of the variance observed (r2 = 0.649-0.741) between 20MSFT performance and 2.4-km run performance. This study's findings allow for normative performance for the purpose of benchmarking fitness, setting performance goal, and rehabilitation from injury. In addition, a valid conversion through a linear regression affords cross-agency comparisons and temporal changes in test selection/recruit cohorts.

A review: Blood pressure monitoring based on PPG and circadian rhythm.

The demand for ambulatory blood pressure monitoring (ABPM) is increasing due to the global rise in cardiovascular disease patients. However, conventional ABPM methods are discontinuous and can disrupt daily activities and sleep patterns. Photoplethysmography (PPG) is gaining attention from researchers due to its simplicity, portability, affordability, and ease of signal acquisition. This paper critically examines the advancements achieved in the technology of PPG-guided noninvasive blood pressure (BP) monitoring and explores future opportunities. We have performed a literature search using the Web of Science and PubMed search engines, from January 2018 to October 2023, for PPG signal quality assessment (SQA), cuffless BP estimation using single PPG, and associations between circadian rhythm and BP. Based on this foundation, we first examine the impact of PPG signal quality on blood pressure estimation results while focusing on methods for assessing PPG signal quality. Subsequently, the methods documented for estimating cuff-free BP from PPG signals are summarized. Furthermore, the study examines how individual differences affect the accuracy of BP estimation, incorporating the factors that influence arterial blood pressure (ABP) and elucidating the impact of circadian rhythm on blood pressure. Finally, there will be a summary of the study's findings and suggestions for future research directions.

On the fiscal deficit and economic growth in sub-Saharan Africa: A new evidence from system GMM.

Using a two-step approach GMM, this study examines the short- and long-term effects of fiscal deficit on the economic growth of 42 Sub-Saharan African nations between 2011 and 2021. The World Development Index, the most reliable source, is where the panel data is taken from. Using the Levin-Lin-Chu and Hadri LM tests for unit root, it was determined that there is no risk of a random walk in the data. The study's findings indicate that while the fiscal deficit has short-term, positive, and significant benefits on the economic growth of SSA countries, it has long-term, negative repercussions. According to the system GMM's results, an increase in the fiscal deficit of SSA countries is linked to a short-term increase in economic growth of 0.036 percent, while an increase in the fiscal deficit of one percentage point is linked to a long-term decline in economic growth of SSA countries of 0.013 percent, holding all other factors constant. The study's findings also showed that the budget deficit has a larger positive short-run coefficient than a negative long-run coefficient. The study also revealed that while real effective exchange rates and inflation short-term hinder economic growth, gross fixed capital creation and real interest rates are the primary drivers of economic expansion. Long-term economic growth in the SSA countries is also found to be positively and significantly impacted by gross fixed capital formation. According to the study, SSA nations should manage their fiscal deficits and, in the long run, provide more funds for gross fixed capital development.

Epidemiological analysis of pulmonary tuberculosis and extra-pulmonary tuberculosis in Saudi Arabia: a cross-sectional study

Tuberculosis (TB) is a serious disease that affects people worldwide, including in Saudi Arabia. The study analyzed the frequency of diagnosed TB cases, age-specific incidence rate, year of diagnosis, and prevalence of TB in Saudi Arabia from 2014 to 2020. Based on the National Tuberculosis Program (NTP) data, 21,120 patients were diagnosed with TB. The mean incidence rate of pulmonary TB and extra-pulmonary TB was approximately 6.92 and 2.33 per 100,000 population, respectively. The highest age-specific incidence rate was observed in the 25–35 year age group. The non-Saudi population (11,086 cases; 52.50%) was significantly more affected by both types of TB compared to the Saudi population (10,034 cases; 47.50%). The male population of Saudi and non-Saudi was significantly more affected by both types of TB. The highest overall mean incidence rate per 100,000 population was observed in the Jeddah and Jazan regions. The study's findings may have implications for supporting public health interventions and implementing a more effective TB control strategy program in Saudi Arabia. It suggests that immigrants from TB-endemic countries and religious visitors from high-risk countries should undergo pre and post-arrival screening for TB to reduce its incidence.

Employees' Perception towards Pygmalion-Oriented Leaders and Leader-Member Exchange in Commercial Banks

Pygmalion-oriented leaders and Leaders Member Exchange (LMX) are the essential antecedents of employees' perception in an organisation, but they are less examined in prior research. Thus, this study examines the employees' view of Pygmalion-oriented leaders and LMX as it might pose a dyadic presentation. This study followed the positivist epistemology. A descriptive and causal research design has been used in this study. One hundred forty employees from commercial banks participated in this study. Responses were collected using a convenience sampling method. The study used correlation and regression to study the Pygmalion effect and LMX impact in shaping employees' perceptions. The findings of the study postulate that the Pygmalion-oriented leader and positive LMX have a significant impact on shaping the employees' perception. The findings of the study show that the Pygmalion effect and Leader Member Exchange has a considerable impact upon shaping the employees’ perception. This study's findings apply to the Nepalese context, specifically in the banking sector and the banking and financial institutions (BFIs) of Nepal. This study is imperative for accentuating the role of the Pygmalion effect and the essence of LMX in managing the BFIs and other big institutions of Nepal.

Leadership and Followership Dynamics in Interprofessional Health Care Teams: Attending Physician Perspectives.

Effective interprofessional health care team (IHT) members collaborate to reduce medical errors, use resources effectively, and improve patient outcomes, making interprofessional collaboration imperative. Because physicians are often designated as the positional leaders of IHTs, understanding their perspectives on collaboration within IHTs could help to mitigate the disconnects between what is suggested in theory and what is happening in practice. This study aimed to explore leader-follower dynamics within medical teams that are commonly working in clinical care contexts. Using a constructivist approach, the authors conducted 12 individual, semistructured interviews from November 2022 to September 2023 with attending physicians who have led IHTs in perioperative (i.e., preoperative clinic, operating room, postoperative and recovery unit) or emergency department settings. The transcripts were analyzed from December 2022 to December 2023 using inductive thematic analysis. Three themes explained the physician perceptions of IHT leadership-followership dynamics: (1) physicians are comfortable sharing leadership intraprofessionally, (2) the clinical culture and environment constrain interprofessional followership and shared leadership, and (3) hierarchical models hold true even while active followers are appreciated, when appropriate. The data in this study suggest that, in perioperative and emergency department settings, shared leadership largely may not occur interprofessionally but occurs intraprofessionally. Participants suggested that the clinical culture and environment (i.e., legal concerns, hierarchical assumption, patient care ownership responsibilities) constrained interprofessional followership and shared leadership. On the basis of the study's findings and how they align with previous research, future research into interprofessional collaboration and followership roles should focus on what factors enable and constrain active followership and shared leadership. Such collaboration can only be achieved when active followership and shared leadership are allowed and promoted. These findings and others suggest that not all contexts are enabling such types of interprofessional collaboration due to legal concerns, hierarchical traditions, and patient ownership considerations.

Short- and long-term weather prediction based on a hybrid of CEEMDAN, LMD, and ANN.

Agriculture is one of the major economic sectors in Africa, and it predominantly depends on the climate. However, extreme climate changes do have a negative impact on agricultural production. The damage resulting from extreme climate change can be mitigated if farmers have access to accurate weather forecasts, which can enable them to make the necessary adjustments to their farming practices. To improve weather prediction amidst extreme climate change, we propose a novel prediction model based on a hybrid of complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN), local mean decomposition (LMD), and artificial neural networks (NN). A detailed comparison of the performance metrics for the short- and long-term prediction results with other prediction models reveals that the three-phase hybrid CEEMDAN-LMD-NN model is optimal in terms of the evaluation metrics used. The study's findings demonstrate the efficiency of the three-phase hybrid CEEMDAN-LMD-NN prediction model in decision-system design, particularly for large-scale commercial farmers, small-holder farmers, and the agricultural index insurance industry that require reliable forecasts generated at multi-step horizons.

Health-Related Quality of Life Perception Among Older Persons with Non-Communicable Diseases in Primary Healthcare Facilities: A Qualitative Inquiry.

Unveiling the understanding of older persons with non-communicable diseases (NCDs) regarding health well-being is paramount and can translate to increased self-efficiency, independence, and enhanced well-being. However, little is known about older persons' understanding of the concept of health-related quality of life (HRQoL) in Uganda. The study explored perceptions of older persons with NCDs on HRQoL in central Uganda. This exploratory qualitative study design involved 23 participants recruited from selected Primary healthcare facilities in Central Uganda. Thematic analysis using an inductive approach generated themes that informed the study's qualitative findings. The key themes that emerged from the study include holistic well-being, lifestyle modification, and financial stability. The key component of HRQoL that came out clearly from the study was the physical domain. There is a need to embrace a person-centered approach based on the perceptions of older persons on HRQoL, which has the potential to improve well-being and enhance a healthy aging journey.

Impact of Intellectual Capital and Islamic Corporate Governance on Financial Performance of Indonesian Islamic Commercial Banks

The aim this study is to investigate the relationship between intellectual capital, Islamic commercial banks' financial performance, and Islamic corporate governance in Indonesia from 2017 to 2019. The methodology used in the study is quantitative. The people are all Muslims. Commercial banks that have Financial Services Authority registrations (OJK) over the three-year period (2017-2019). The sample is determined using a saturated sampling technique, resulting in 14 Islamic Commercial Banks and forty-two observations in total. The analytical approach is panel data regression analysis and data processing with Eviews 9. The study's findings demonstrate that intellectual capital has a significant impact on return on assets. In contrast, the Sharia Supervisory Board has little effect on Return on Assets. However, the Commissioners' Board and the Directors Board both significantly influence Return on Assets.

Social Semiotic Analysis of a Pet Protection Post on Instagram

This study applies Kress and Van Leeuwen's Visual Grammar framework to analyze an Instagram post advocating pet protection. The research focuses on representational, interactive, and compositional metafunctions to understand how visual and textual elements combine to convey urgency and empathy. The representational analysis highlights the dog's isolated portrayal and the use of the pronoun "me" to foster an emotional connection. The interactive analysis examines indirect gaze, close-up shots, and low angles to engage viewers and emphasize their role in pet protection. The compositional analysis reveals the strategic placement of verbal and visual elements, with bold text and contrasting colors enhancing the message's salience. This multimodal approach demonstrates the synergy between visual and textual elements, creating a cohesive and persuasive narrative. The study's findings align with existing literature on social semiotics and Visual Grammar, emphasizing the importance of integrated visual strategies in social media advocacy. The research offers practical insights for designing effective pet protection campaigns, highlighting the role of Visual Grammar in promoting responsible pet ownership and animal welfare. Future research should explore the long-term impact of these visual strategies on viewer behavior and the effectiveness of different semiotic modes across various social media platforms.

Enhancing Early Mathematical Learning through Multimedia Technologies: A GeoGebra-Based Approach in Preschool Education

Multimedia technologies, encompassing images, animations, and sounds, offer innovative possibilities for preschool educators, particularly in the context of presenting mathematical content and fostering children's mathematical cognition. This study is driven by a dual objective: firstly, to formulate a GeoGebra-based model for the assimilation of fundamental mathematical concepts related to numbers and sets; secondly, to execute this model in practical educational settings. The research conducted for this paper spanned five years (2018-2023) as part of a comprehensive five-year project, comprising three distinct phases, each featuring specialized workshops. A cohort of 380 preschool teachers completed GeoGebra training, which was followed by the integration of the proposed model into the educational curriculum across preschool institutions in two districts within the Republic of Serbia. Preschool educators independently implemented two activities aligned with their project themes. The study's findings emphasize the effectiveness of implementing an interactive project-based learning approach in preschool settings, where well-integrated GeoGebra applets, particularly when harmonized with activities involving physical and tangible elements, can yield positive outcomes.

Exploring the fragility of meta-analyses in ophthalmology: a systematic review.

The fragility index (FI) of a meta-analysis evaluates the extent that the statistical significance can be changed by modifying the event status of individuals from included trials. Understanding the FI improves the interpretation of the results of meta-analyses and can help to inform changes to clinical practice. This review determined the fragility of ophthalmology-related meta-analyses. Meta-analyses of randomized controlled trials with binary outcomes published in a journal classified as 'Ophthalmology' according to the Journal Citation Report or an Ophthalmology-related Cochrane Review were included. An iterative process determined the FI of each meta-analysis. Multivariable linear regression modeling evaluated the relationship between the FI and potential predictive factors in statistically significant and non-significant meta-analyses. 175 meta-analyses were included. The median FI was 6 (Q1-Q3: 3-12). This meant that moving 6 outcomes from one group to another would reverse the study's findings. The FI was 1 for 18 (10.2%) of the included meta-analyses and was ≤5 for 75 (42.4%) of the included meta-analyses. The number of events (p < 0.001) and the p-value (p < 0.001) were the best predictors of the FI in both significant and non-significant meta-analyses. The statistical significance of meta-analyses in ophthalmology often hinges on the outcome of a few patients. The number of events and the p-value are the most important factors in determining the fragility of the evidence. The FI is an easily interpretable measure that can supplement the reader's understanding of the strength of the evidence being presented. CRD42022377589.

Overarm Training Tolerance: A Pilot Study on the Use of Muscle Oxygen Saturation as a Biomarker.

Ulnar collateral ligament (UCL) tears occur due to the prolonged exposure and overworking of joint stresses, resulting in decreased strength in the flexion and extension of the elbow. Current rehabilitation approaches for UCL tears involve subjective assessments (pain scales) and objective measures such as monitoring joint angles and range of motion. The main goal of this study is to find out if using wearable near-infrared spectroscopy technology can help measure digital biomarkers like muscle oxygen levels and heart rate. These measurements could then be applied to athletes who have been injured. Specifically, measuring muscle oxygen levels will help us understand how well the muscles are using oxygen. This can indicate improvements in how the muscles are healing and growing new blood vessels after reconstructive surgery. Previous research studies demonstrated that there remains an unmet clinical need to measure biomarkers to provide continuous, internal data on muscle physiology during the rehabilitation process. This study's findings can benefit team physicians, sports scientists, athletic trainers, and athletes in the identification of biomarkers to assist in clinical decisions for optimizing training regimens for athletes that perform overarm movements; the research suggests pathways for possible earlier detection, and thus earlier intervention for injury prevention.

AI'S Impact on Vocational Training and Employability: Innovation, Challenges, and Perspectives

This integrative literature review (ILR) examines the influence of artificial intelligence (AI) on vocational training, specifically focusing on unequal access to AI-powered resources and the ensuing inequities in education. The study seeks to analyze the impact of AI on vocational training and employability, offering insights into the advantages and difficulties related to integrating AI technology into educational institutions. The study's conceptual framework is grounded in three primary pillars: AI-driven innovation, challenges, and perspectives. This research is essential for providing valuable insights that can guide strategic planning and policy-making to improve vocational training programs and ensure that they remain effective in preparing students for the changing job market. The ILR methodology entailed integrating theoretical and empirical literature and collecting and evaluating relevant scholarly materials to provide a thorough comprehension of AI's function in vocational training. The results emphasize the capacity of AI to enhance educational achievements using tailored learning, adaptable platforms, immediate feedback, and simulations. However, there is a risk of widening educational inequalities due to biased algorithms. The study highlights the necessity of making significant investments in infrastructure and providing ongoing professional development for educators to incorporate AI successfully. It also suggests the establishment of distinct positions inside vocational training institutions, such as Vocational AI Curriculum Developer (VACD), Vocational AI Data Protection Specialist (VAIDPS), and Vocational AI Sustainability Facilitator (VAISF), to tackle these difficulties effectively. The conclusions highlight the revolutionary capacity of AI in vocational training, soliciting strategic investments and evoking the creation of specialized positions to promote fair and efficient deployment of AI. The study's findings underscore the significance of continuous research and improvements in practice to promote positive societal change and better educational fairness.