AI is rapidly transforming the landscape of general dental practice by enhancing diagnostic accuracy, offering innovative treatment strategies, and streamlining administrative workflows. This descriptive review explores the latest advancements in AI within dentistry. Machine learning models, trained on extensive datasets of dental images, have shown remarkable accuracy in the early detection of dental conditions such as caries, periodontal diseases, and tooth structure anomalies. These tools enable timely interventions, improving clinical outcomes while reducing the burden on dental healthcare systems. Furthermore, AI facilitates the development of personalized treatment plans by integrating patient-specific data, including genetic markers and health histories. On the administrative front, AI-powered systems improve efficiency through automated appointment scheduling, billing, and electronic health record management, thereby allowing clinicians to devote more attention to direct patient care.

The preformulation study begins with the introduction of a novel chemical. It involves the analysis of physical, chemical, analytical, and medicinal properties related to molecules and provides guidance on suitable alterations to improve molecular efficacy. The examination of preformulation parameters pertains to the creation of effective, safe, stable, and reliable pharmaceutical formulations. Terbutaline is a selective β2 adrenergic receptor agonist often utilised in the acute and long-term management of bronchial asthma, chronic bronchitis, emphysema, and other chronic obstructive pulmonary disorders characterised by reversible bronchial hyperreactivity. Terbutaline sulphate is a short-acting bronchodilator that can be administered orally, parenterally, or by inhalation. The principal objective of the preformulation research of terbutaline is to generate knowledge that facilitates the creation of stable and bioavailable dosage forms.

Introduction: One key aspect of fetal assessment is the measurement of amniotic fluid volume (AFV) which has been linked to various pregnancy complications. Postdated pregnancies those extending beyond 40 weeks of gestation present significant risks such as fetal distress, oligohydramnios, meconium staining, macrosomia and fetal post-maturity syndrome. Management of these pregnancies varies with some advocating expectant monitoring while others recommend induction of labor to mitigate risks. Ultrasound assessments like the amniotic fluid index (AFI) are crucial in guiding decisions about timing and mode of delivery, balancing the risks of prolonged pregnancy with those of premature birth. The aim of this study was to evaluate the AFI in postdated pregnancies and assess the associated maternal and fetal outcomes at Pravara Rural Hospital (PRH), Loni. Materials and Methods: This descriptive cross-sectional study was conducted at PRH, Loni with a sample size of 220 postdated pregnant women over two years. The inclusion criteria were women aged 18-35 years with a single live intrauterine gestation, cephalic presentation, and gestational age >40 weeks, who provided informed consent. The women underwent history-taking, obstetric examination and investigations including ultrasound and fetal Doppler. Delivery outcomes, including Apgar scores, birth weight, NICU admissions, and perinatal follow-up were recorded. Results: Among 220 participants, 92.72% were under 20 years old, with a mean age of 19.49 ± 1.44 years. Meconium-stained liquor occurred in 55.91% of cases. Most deliveries were vaginal (79.55%), followed by LSCS (16.36%). The mean birth weight was 3.03 ± 0.37 kg with 50.45% of infants having an Apgar <7. Maternal complications included atonic PPH (2.73%) and perineal tear (2.27%). Fetal complications included meconium aspiration syndrome (4.09%) and perinatal mortality (4.09%). Conclusion: Postdated pregnancies carry significant risks. Early assessment and

This paper examines how Artificial Intelligence (AI) has transformed financial reporting, auditing, and decision-making in accounting. Amidst rapid technological advancement, the article investigates the shift from manual, labour-intensive accounting systems to AI-driven ones. AI integration is changing accounting, and the goal is to objectively assess its potential and drawbacks. A thorough literature review and bibliometric analysis evaluate peer-reviewed articles, case studies, and industry reports over the past decade. This method ensures a complete understanding of AI's use in accounting, its impact on precision and effectiveness, and its strategic implications for accounting professionals and enterprises. Results show that AI improves financial reporting by automating repetitive tasks and enabling statistical analysis for strategic decision-making. Problems include the need for AI-savvy people, data security concerns, and high AI integration costs. The research shows that unwillingness to change is a key barrier to AI in accounting. For a measured AI integration into accounting, the study emphasises continuing education, adaptation, and strategic foresight. It prioritises ethical and regulatory compliance and encourages AI training and development. The analysis found that AI may alter accounting techniques, creating new potential for development and innovation in the digital era, despite its challenges.

Elegy is a prominent and important topic of Arabic poetry in Nigeria, as through it the poet can express his feelings and pain he suffers due to the magnitude of the calamity resulting from the loss of a loved one who has a high status in the hearts of the people, despite all this, the elegy of women, whether a wife, daughter or sister, was very little and rare among Nigerian poets. Perhaps the reason for this is what critics have said, that the most difficult elegy for a poet is to eulogize a child or a woman, due to the narrowness of speech and the scarcity of attributes. This may lead to the failure of the poet, especially in the eulogy, which is a reminder of the tragedy and praise of the virtues of the deceased, and mentioning and enumerating his good qualities. This has led poets to abandon this type of elegy, except for a few of them. Among the contemporary Nigerian poets who practiced the elegy of women, despite the difficulty involved, is the poet Muhammad Nazir bin Muhammad Al-Qaurawi. This article aims to conduct an analytical literary study of the poet’s poem “Al-Hamziyah” in which he mourned his sister, with the aim of discovering the poem’s artistic values and highlighting the poet’s emotional quality in it. The article will focus on addressing this problem using the analytical method, relying on the following elements: a brief overview of the poet - presentation of the poem - structure of the poem and the poet’s emotional quality in it - the most important ideas contained in the poem - elements of elegy in the poem - artistic values in the poem - artistic evaluation of the poem - conclusion - list of references.

This study examines fitness consumption through the lens of social discipline and embodied practices, analyzing how individuals construct their identity in relation to an ideal body. Using a mixed-methods approach that includes questionnaire surveys and interviews, the study finds that fitness consumption is shaped by geographical location, information access, and social circle dynamics. Women and highly educated individuals show a stronger preference for personal training services. Women’s engagement is largely driven by societal expectations of physical appearance, whereas highly educated individuals view personal training as a status symbol. Additionally, social circle influences significantly impact men’s fitness consumption, highlighting gendered expectations. The study reveals that fitness consumption extends beyond health pursuits, serving as an expression of social status and values.

The term Human-Wildlife conflict (HWC) refers to the interaction between Human and Wild animals, which as a result causes a negative impact on the Human population, wild animals, their habitats and resources. This conflict takes place when the rapidly thriving human population get their hands in the well-established territory, which ultimately creates the competition for habitat as well as resources. HWC now becoming a very serious global issue and for resolving this conflict the global concern is required for the conservation of wildlife and development of humans alike. Taking into consideration, that expanding demands for access to land and resources by the exponential growth of the human population and urbanization, it is clear that this growing conflict between human and wildlife will not be abolished in the coming future. So the reason is very obvious and clear for the better understanding of this continuously increasing conflict and hence management options are very crucial for the good survival of both human as well as wildlife. The study reveals that human wildlife conflict is a growing problem throughout the study area and a number of causes have been identified in this regard. The issues need to be solved sincerely in order to avoid Man-animal conflict. This research articles reveals the damaged caused by wild animals to human being from 2014 to 2024 in Chenab region of Jammu and Kashmir along with the impact and mitigation strategies.

Work-related musculoskeletal disorders (WMSDs) are common health issues affecting workers across various industries. These disorders include conditions like back pain, neck strain, shoulder problems, and repetitive strain injuries, often caused by prolonged poor posture, repetitive movements, or heavy physical work. The prevalence of WMSDs varies globally but is generally high, especially among occupations involving manual labor, desk work, or tasks requiring repetitive motions. Studies indicate that a significant percentage of workers experience discomfort or injury at some point in their careers, leading to substantial personal and economic consequences. The impact of WMSDs on quality of life can be profound. Workers suffering from these conditions often experience chronic pain, reduced mobility, and decreased productivity. These physical limitations can lead to emotional distress, loss of job satisfaction, and social isolation. Moreover, the ongoing health issues can increase healthcare costs and result in work absenteeism or disability. Addressing the prevalence and impact of WMSDs is crucial to improving workers' well-being, enhancing productivity, and reducing associated healthcare burdens

The rapid and continuous growth of Port Harcourt, Nigeria, have contributed to a surge in vehicular traffic, prompting concerns regarding air pollution and its health implications. This study to analyzed the spatial distribution of Particulate Matter (PM) in Port Harcourt and their possible effects on the respiratory health of residents of Port Harcourt Metropolis. Utilizing Geographic Information Systems (GIS) for mapping, air quality monitoring, this study identified pollution hotspots and investigated the prevalence of related respiratory health risks. The results demonstrate significant variations in PM concentrations across the study area, with high-emission zones associated with elevated rates of some respiratory illnesses. These findings emphasize the need for targeted interventions in air quality management and public health policies to reduce the detrimental effects of PM on respiratory health.

Smoking is a significant global public health concern, leading to many conditions such as cancer, pulmonary diseases, and cardiovascular disorders. This article examines the impact of smoking on human health, highlighting its biochemical and physiological effects. The study highlights the detrimental effects of prolonged tobacco use, considering both active and passive smoking. The study also examines the challenges associated with smoking cessation and the role of nicotine dependence in this process. The research evaluates public health programs and preventative strategies designed to reduce smoking prevalence. The findings emphasize the urgent necessity for comprehensive smoking control policies, awareness programs, and targeted cessation measures to mitigate the adverse health effects of smoking.

Carbon nanotubes (CNTs), with their notable electric conductivity, mechanical electricity, and high surface region, have emerged as essential materials in the design of high-overall-performance electricity garage devices. Their particular one-dimensional structure facilitates rapid electron/ion shipping, enhances electrode structure, and comprises volumetric changes, making them valuable in lithium-ion, lithium–sulfur, and metal air batteries and bendy super capacitors. CNTs have shown extensive improvements in power density, cycle lifestyles, and fee functionality either used for my part or in hybrid structures with graphite, metal oxides, and conductive polymers. Despite these benefits, several challenges hinder the large-scale software of CNTs. These encompass high manufacturing costs, poor dispersion in composites, weak interfacial bonding with energetic materials, and aggregation for the duration of fabrication, which adversely influences electrochemical overall performance and reproducibility. To triumph over those barriers, researchers are employing scalable and eco-friendly synthesis strategies, consisting of optimized chemical vapor deposition (CVD), and refining post-treatment approaches to improve purity and shape. Surface functionalization—each covalent and non-covalent improves compatibility with different materials, even as hybridization techniques beautify electrical pathways and structural integrity. Recent advances in CNT-based composites show their ability to suppress polysulfide shuttling in Li–S structures, boost electrolyte accessibility in bendy super capacitors, and increase mechanical and electrochemical stability beneath high-performance conditions. The use of 3D CNT frameworks and vertically aligned nanotube arrays has enabled the improvement of high-loading, binder-unfastened electrodes with superior ion accessibility. Additionally, CNTs display strong compatibility with emerging stable-nation and gel-based electrolytes, beginning new paths toward compact, safer strength devices.

Mahatma Gandhi National Rural Employment Guarantee Scheme (MGNREGS) is an effectual and comprehensive flagship program of the Indian government aimed at offering causal and assured employment opportunities to the rural population of the country, especially women, schedule caste (SCs) and schedule tribes (STs) communities. The MGNREGS Programme aims to promote inclusive development through a demand-driven and participatory approach because India’s rural areas have been characterized by rampant deprivations and lack of resources. This study analyses the recent developments in the financial progress, physical progress, and inclusiveness of the MGNREGS in Uttar Pradesh, India. This study used secondary data sourced from the official MGNREGA websites covering the period from 2020-21 to 2024-25. The analysis shows that the effectiveness of the MGNREGS programme in the state of Uttar Pradesh, India, has not been effective in achieving the objectives of a minimum of 100 days of satisfactory job, and only a small number of people completed the 100 days from 2020-21-2024-25 and overall average days of employment was 44.44 days. However, the participation of women in the MGNREGS was more than the statutory limit of 33% over the year from 2020-21 to 2024-25 and continuously increased every year but slightly declined to 41.8% in 2024-25. The SC/ST person-days generated reduced over the year, and it found that the SC and ST person-days under the MGNREGS were the highest at 31.75% and 1.13% in 2022-23 and 2021-22, respectively. However, the study recommends aligning the MGNREGS programme with the marginalized group of people and focusing on climate-resilient works that create sustainable infrastructure in rural India and give priority to agriculture and allied sectors to transform the livelihood security of the rural community.

Digital Literacy is one of the core competencies in the new Competency Based Curriculum (CBC), it enhances quality and standard of education and therefore intends to help learners achieve their potential both in school and in life. Despite the Kenyan government efforts to achieve one child one laptop (1:1) by 2030, its implementation process in public primary schools in Rongo Sub-County has been met with managerial challenges which has widened the digital and knowledge divides between Kenya and other developed countries in the world. The study primarily explored administrative challenges in the implementation of digital learning in public primary schools in Rongo Sub-County, Kenya. The study was guided by the Technology, Organization and Environment (TOE) model theory. The study employed descriptive survey design with a target population of 199 public primary schools. The study was carried out among 60 sampled public primary schools using a simple random sampling procedure. The study used questionnaires and interview schedules to get information from the respondents. The input of the supervisors was vital in developing and ascertaining the validity of the research instruments. A pilot study was carried out in three randomly selected schools with three headteachers, three deputy headteachers and three grade one class teachers in neighboring sub counties with the same characteristics as the sampled schools. Test-retest technique was used to get a reliability of 0.78, 0.70 and 0.72 for headteachers, deputy headteachers and grade one class teachers respectively. The questionnaires were distributed to headteachers, deputy headteachers and grade one class teachers. The collected data was analyzed using Statistical Package for Social Sciences (SPSS Version 21.0) Windows. The findings were presented using frequency tables, mean, percentages, pie charts and bar graphs. The findings of the study showed that 63.6% (61) of headteachers and deputy head teachers agreed that the government did not allocate enough resources to schools towards the implementation of digital literacy while 67.7% (65) of them said that the available primary curriculum did not support digital literacy in schools. The study concluded that managerial challenges such as administrative challenges, were still major challenges affecting the implementation of digital learning in public primary schools in Rongo Sub- County. The study recommended that the government should uniformly provide ICT resources to all public primary schools. The results of this study are useful in the current implementation of CBC and digital learning in Kenya and beyond. The researcher adhered to research ethical considerations.

In-service welding is a type of hot work repair process using pipeline sleeves. It is hazardous and necessitates thorough planning and procedures. The inside pipe surface and fluid temperature are all unknown and unpredictable. Therefore, the risk resulting from burn-through where the welding arc causes pipe wall breaching, hydrogen cracking, and the likelihood of occupational health risks are high. Hence, this work aimed to predict the pipe’s inner surface temperature and fluid temperature in contact with the pipe’s inner surface during the buttering layers welding of the pipeline sleeve to determine if it is safe to carry out welding of the buttering layers in a no-flow condition. This analysis was achieved through 2-dimensional Steady-State Thermal Analysis in Ansys APDL (Ansys Parametric Design Language). The Ansys simulation results showed that the fluid temperature was high, almost getting to the fluid autoignition temperature, and in some instances, even higher than the fluid autoignition temperature. The implication is that, in-service buttering layers welding of pipeline sleeves must not be performed in a no-flow condition during pipeline repair. Also, hot work repair welding for pipeline sleeves by the in-service method could be safely done following all necessary precautions and preventive measures where in-service welding for pipeline sleeves during the buttering layers might cause a severe hazard and dangerous incidents such as explosion. The temperature prediction helps to assure safety in in-service welding for pipeline sleeves to avoid pipeline explosion due to extremely high temperature or decrease in the toughness of the Heat-affected-zone (HAZ) in the welded joint because of the high cooling rate of the weldment, which reduces the pipe mechanical strength.

Background: The rapid population growth in Saudi Arabia, projected to reach 39.5 million by 2030, have significantly pressured the healthcare system. Vision 2030’s healthcare transformation underscores the urgent need for reforms in Saudi nursing, emphasizing retention and professional development to ensure high-quality care. Purpose: This study examines factors influencing Saudi nurses' retention within a university hospital, focusing on job satisfaction, leadership, and work environment. Methods: Using a descriptive cross-sectional design, data was collected from 82 Saudi nurses. Results: Retention factors included the type of patients cared for (50%), workplace relationships (42.7%), and the feeling of making a difference (37.8%). Time off and professional development opportunities (28%) were also significant. Conversely, limited career promotion (69.5%) and inadequate salary (67.1%) were key reasons for leaving, alongside stressful conditions (48.8%), unsafe staffing (48.8%), and lack of leadership support (35.4%). Conclusions/Implications for Practice: Adapting Saudi healthcare policies to align with cultural and religious values is more crucial than ever. Policies that integrate these aspects are vital for supporting the predominantly nurse female workforce and ensuring their long-term engagement and satisfaction.