Area Of Study Research Articles

Developing Cost-Effective AI Algorithms for Resource-Constrained Devices

Resource-restrained gadgets pose sizable challenges for deploying synthetic intelligence (AI) packages, which include restricted computational power, reminiscence, and electricity resources. This research pursuits to broaden value-effective AI algorithms that cope with these limitations whilst retaining high overall performance and accuracy. The examine leverages superior optimization strategies, such as version pruning, quantization, and dynamic strength control, to layout light-weight models appropriate for low-strength environments. Experiments conducted on gadgets like the Raspberry Pi 4 and NVIDIA Jetson Nano screen giant improvements in inference time, electricity efficiency, and accuracy compared to conventional processes. The proposed algorithms acquire up to 50% reduction in energy consumption and 20% improvement in accuracy at the same time as lowering typical computational charges. These findings reveal the feasibility of deploying green AI solutions on constrained hardware without compromising on functionality or nice. The practical implications of this paintings make bigger to various applications, along with real-time healthcare monitoring, clever agriculture, and commercial IoT systems. The have a look at concludes by means of highlighting areas for destiny studies, which includes improving algorithmic adaptability and expanding trying out to embody diverse eventualities. This work gives a sturdy basis for advancing the deployment of AI in resource-restricted settings, bridging the gap between technological innovation and practical implementation.

The Impact of Electric Fields on Processes at Electrode Interfaces.

The application of external electric fields to influence chemical reactions at electrode interfaces has attracted considerable interest in recent years. However, the design of electric fields to achieve highly efficient and selective catalytic systems, akin to the optimized fields found at enzyme active sites, remains a significant challenge. Consequently, there has been substantial effort in probing and understanding the interfacial electric fields at electrode/electrolyte interfaces and their effect on adsorbates. In this review, we examine recent advances in experimental, computational, and theoretical studies of the interfacial electric field, the origin of the vibrational Stark effect of adsorbates on electrode surfaces, and the effects of electric fields on reactions at electrode/electrolyte interfaces. We also discuss recent advances in control of charge transfer and chemical reactions using magnetic fields. Finally, we outline perspectives on key areas for future studies.

Exploring Medical and Dental Tourism: Opportunities, Challenges, and Global Impact on Healthcare

Medical and dental tourism have become important parts of the global healthcare market. These fields are growing due to advancements in medical technology, lower travel costs, and the need for affordable and quality healthcare. This review looks at the main factors driving medical and dental tourism, such as lower treatment costs abroad, access to advanced procedures, and dissatisfaction with local healthcare services. It also highlights popular destinations, common treatments, and the importance of safety and quality through accreditation and regulations. Dental tourism, a branch of medical tourism, is expanding quickly due to the high demand for services like cosmetic dentistry, implants, and braces. The review discusses challenges, including ethical issues, health risks, and effects on healthcare systems in both source and destination countries. It offers a clear summary of the topic, points out gaps in current research, and suggests areas for future studies to ensure the advantages of medical and dental tourism outweigh the challenges.

Testing the CASEL Model: Exploring Relationship between Social Emotional Competencies and Academic Performance of Distance Learners

Social emotional competencies (SEL) enable an individual to understand thoughts, ideas, and feelings. These are also important for students’ emotional, mental, and social well-being to achieve academic goals (Fitzgerald, Shipman, Pauletic, Ellesworth, & Dymnicki, 2022). In this study we investigated whether social and emotional variables correlate with academic performance of students through CASEL model. Survey was conducted (N=150 female and 70 male) distance learners. For measuring the levels of social emotional competence, the Social Emotional Competence Questionnaire (SECQ) was used which was based on CASEL model given by (Zhou & Ee, 2012). This scale contained five sub-constructs: “self-awareness competence, social awareness competence, self-management competence, relationship management competence, and responsible decision-making competence”. For measuring academic achievement of students their result was taken. Results showed that academic achievement of distance learners is significantly correlated with social emotional abilities such self-awareness, social awareness, self-management, relationship management, and responsible decision-making. Social-emotional competencies (SEC) in distance learning should be the future focus of research for the reasons that they are the key competencies for academic success. Such learners can improve their ability to deal with educational challenges in remote settings if they acquire SEC, such as self- awareness, social awareness, relationship management, self-management, and responsible decision-making competence can enhance learners’ ability to manage academic challenges in remote settings. Integration of SEC development should be the priority for institutions in distance education programs and facilitating a learning support culture. The areas for further studies could be constituted in effective interventions to strengthen SEC for the positive academic outcomes of distance learners.

Optimizing Productivity and Economics of Maize + Legumes Intercropping: A Study on the Impact of Natural and Organic Farming Practices

Background: Excessive use of chemical fertilizers in a cropping system adversely affects the soil health and crop productivity. To ensure food security, nutritional balance and environmental sustainability, a shift towards eco-friendly organic farming based agricultural systems was imperative. But it also poses challenges for small farmers who owe a small number of animals and they need to purchase bulk organic manures. Zero Budget Natural Farming (ZBNF) emerges as an alternate and advocate for low-input, climate-resilient practices which include beejamrit, jeevamrit, achhadana and whapasa. With the aim of increasing the production of the crops per unit area in the present study, different intervals (14, 21 and 28 days) of jeevamrit under natural farming plots and matka khad (30 days interval) under organic farming plots were tested in different maize based intercropping systems. Methods: A field experiment was conducted during kharif 2020 and 2021 at the Zero Budget Natural Farm (ZBNF), Department of Organic Agriculture and Natural Farming, CSK Himachal Pradesh Krishi Vishvavidyalaya, Palampur. The experiment was comprised of thirteen treatments which were tested in randomized block design with three replications. Result: Among different treatments significantly higher values of yield attributes and yield of maize were recorded under maize + lobia and jeevamrit spray at 14 days interval during kharif 2020 and maize + soybean and jeevamrit spray at 14 days interval during kharif 2021. In case of economics, higher gross returns, net returns and benefit cost ratio were recorded under maize + soybean and jeevamrit spray at 14 days interval during kharif 2020, whereas during kharif 2021, maize + soybean and matka khad spray at 30 days interval resulted in the highest returns.

CCTSDB dataset enhancement based on a cross-augmentation method for image datasets

In the digital era, the rapid advancement of artificial intelligence has put a spotlight on target detection, especially in traffic settings. This area of study is pivotal for crucial projects like autonomous vehicles, road monitoring, and traffic sign recognition. However, existing Chinese traffic datasets lack comprehensive benchmarks for traffic signs and signals, and foreign datasets do not match Chinese traffic conditions. Manually annotating a large-scale dataset tailored for Chinese traffic conditions presents a significant challenge. This study addresses this gap by proposing a cross-augmentation method for image datasets. We utilized YOLOX for target detection and trained models on the BDD100K dataset, achieving an impressive mAP of 60.25%, surpassing most algorithms. Leveraging transfer learning, we enhanced the CCTSDB dataset, creating the ACCTSDB dataset, which includes annotations for common traffic objects and Chinese traffic signs. Using YOLOX, we trained a traffic detector tailored for Chinese traffic scenarios, achieving an mAP of 75.79%. To further validate our approach, we conducted experiments on the TT100K dataset and successfully introduced the ATT100K dataset. Our methodology is poised to alleviate the limitations of manually annotating image datasets. The proposed ACCTSDB dataset and ATT100K dataset are expected to compensate for the lack of large-scale, multi-class traffic datasets in China.

Consensus Statements among European Sleep Surgery Experts on Snoring and Obstructive Sleep Apnea: Part 3 Palatal Surgery, Outcomes and Follow-Up, Complications, and Post-Operative Management.

Background/Objectives: Exploring and establishing a consensus on palatal surgery, the outcomes and follow-up after the palatal surgery, the complications of palatal surgery, and the post-operative management after palatal surgery for snoring and obstructive sleep apnea (OSA) among sleep surgeons is critical in the surgical management of patients with such conditions. Methods: Using the Delphi method, a set of statements was developed based on the literature and circulated among a panel of eight European experts. Responses included agreeing and disagreeing with each statement, and the comments were used to assess the level of consensus and to develop a revised version. The new version with the level of consensus and anonymized comments was sent to each panel member as the second round. This was repeated over a total of five rounds. Results: The final set included a total of 111 statements, 27 of which were stand-alone questions and 21 of which contained 84 sub-statements. Of the 34 statements regarding palatal surgery, consensus was achieved among all eight, seven, and six panelists for 50%, 35.3%, and 5.9% of the questions, respectively. Of the 43 statements regarding the outcomes and follow-up after the palatal surgery, consensus was achieved among all eight, seven, and six panelists for 53.5%, 23.3%, and 4.7% of the questions, respectively. Of the 24 statements regarding complications after the palatal surgery, consensus was achieved among all eight, seven, and six panelists for 91.7%, 0%, and 4.2% of the questions, respectively. Of the 10 statements regarding post-operative management after palatal surgery, consensus was achieved among all eight, seven, and six panelists for 10%, 30%, and 30% of the papers, respectively. Conclusions: This consensus provides an overview of the work of European sleep surgeons to develop a set of statements on palatal surgery for the treatment of snoring and OSA, the outcomes and follow-up, the complications, and the post-operative management of palatal surgery. We believe that this will be helpful in everyday practice. It also indicates key areas for further studies in sleep surgery.

Causal Relationships between Gut Microbiotas, Blood Metabolites, and Neuroendocrine Tumors: A Mediated Mendelian Randomization Study

Plain Language SummaryNeuroendocrine tumors (NETs) are a rare type of cancer that can develop in different parts of the body, including the intestines, lungs, and pancreas. These tumors are often hard to detect early because they may not cause noticeable symptoms until they have spread to other parts of the body. This study aimed to better understand how certain bacteria in the gut, known as the gut microbiota, and the substances they produce, called metabolites, might influence the development of NETs. To investigate this, we used a method called Mendelian randomization, which helps to identify cause-and-effect relationships by analyzing genetic data. We looked at genetic information from large groups of people to see if there is a link between specific gut bacteria and the risk of developing NETs. We also explored whether certain metabolites produced by these bacteria might play a role in this process. Our findings suggest that some types of gut bacteria and their metabolites may either increase or decrease the risk of NETs, depending on the specific bacteria and metabolites involved. For example, some bacteria were found to protect against certain types of NETs, while others were linked to a higher risk. This research provides new insights into how gut bacteria and their products might contribute to the development of NETs and highlights potential areas for future studies aimed at preventing or treating these tumors.

Genetics and pathogenesis of scoliosis

BackgroundScoliosis is defined as a lateral spine curvature of at least 10° with vertebral rotation, as seen on a posterior-anterior radiograph, often accompanied by reduced thoracic kyphosis. Scoliosis affects all age groups: idiopathic scoliosis is the most common spinal disorder in children and adolescents, while adult degenerative scoliosis typically affects individuals over fifty. In the United States, approximately 3 million new cases of scoliosis are diagnosed annually, with a predicted increase in part due to global aging. Despite its prevalence, the etiopathogenesis of scoliosis remains unclear. MethodsThis comprehensive review analyzes the literature on the etiopathogenetic evidence for both idiopathic and adult degenerative scoliosis. PubMed and Google Scholar databases were searched for studies on the genetic factors and etiopathogenetic mechanisms of scoliosis development and progression, with the search limited to articles in English. ResultsFor idiopathic scoliosis, genetic factors are categorized into three groups: genes associated with susceptibility, disease progression, and both. We identify gene groups related to different biological processes and explore multifaceted pathogenesis of idiopathic scoliosis, including evolutionary adaptations to bipedalism and developmental and homeostatic spinal aberrations. For adult degenerative scoliosis, we segregate genetic and pathogenic evidence into categories of angiogenesis and inflammation, extracellular matrix degradation, neural associations, and hormonal influences. Finally, we compare findings in idiopathic scoliosis and adult degenerative scoliosis, discuss current limitations in scoliosis research, propose a new model for scoliosis etiopathogenesis, and highlight promising areas for future studies. ConclusionScoliosis is a complex, multifaceted disease with largely enigmatic origins and mechanisms of progression, keeping it under continuous scientific scrutiny.

Potential Mechanisms Underlying Reappraisal Strategies: An Exploratory Study

Reappraisal strategies are vital for our psychological well-being. The way people feel, behave and react in different stressful situations, depends to a degree on the reappraisal strategies they use to manage their emotional states and to cope with a given situation. In this paper, we assess the types of reappraisal strategy described in the scientific literature from the point of view of a focus on specific cognitive strategies. Adopting a mixed research design, we used inductive content analysis in order to identify potential underlying mechanisms relating to qualitative patterns of thinking used in efficient reappraisal. Eight anger and anxiety eliciting situations where used to stimulate emotional responses and the use of reappraisal strategies. Based on our exploratory approach we identified four additional specific reappraisal strategies (justification, responsibly assumption, normality check, and non-justified acceptance) which can be used as specific intervention techniques. Awareness and core beliefs are cognitive processes that contribute to the understanding of inter-individual differences in the efficacy of the reappraisal process. Research areas for future studies are identified.

Mapping a Decade (2014-2024) of Research on Extracorporeal Membrane Oxygenation for Acute Respiratory Distress Syndrome: A Visual Analysis with CiteSpace and VOSviewer.

Acute Respiratory Distress Syndrome (ARDS) stands as a primary cause of mortality among critically ill patients. Extracorporeal Membrane Oxygenation (ECMO) is increasingly employed in the rescue therapy of ARDS patients. However, the current status of research in the field of ECMO-assisted ARDS remains unclear. This research aims to categorize and evaluate the literature regarding Extracorporeal Membrane Oxygenation (ECMO) support for Acute Respiratory Distress Syndrome (ARDS), offering a comprehensive analysis of bibliometric properties, research hotspots, and developmental trends within the domain of ECMO-assisted ARDS. A literature search was conducted for ECMO-assisted support for patients with ARDS in the Web of Science Core Collection (WoSCC) database from 2014 to 2024. We employed visualization tools such as CiteSpace and VOSviewer to explore and assess connections among nations, institutions, researchers, and co-cited journals, authors, references, and keywords. This study included 1739 publications. The United States leads in publication volume with Columbia University at the forefront of ECMO research. Intensive Care Medicine has been identified as the most cited journal in this field. Alain Combes from France stands out as a key contributor, particularly in his 2018 publication in the New England Journal of Medicine, which is the most cited work in the discipline. Furthermore, keyword analysis identified three distinct research phases: examining complications associated with ECMO therapy, exploring optimal strategies for mechanical ventilation under ECMO support, and compiling insights into the application of ECMO in treating COVID-19 patients and in the development of predictive models for patient outcomes. Using bibliometric visualization techniques, this study revealed significant progress in the use of ECMO for treating ARDS respiratory support, evaluated the impact of these findings, and outlined potential areas for future studies.

Analyzing the Spatial Distribution of Immune Cells in Lung Adenocarcinoma.

(1) Background: This study investigates the tumor immune microenvironment, focusing on immune cell distribution in lung adenocarcinoma. (2) Methods: We evaluated fifty cases of lung adenocarcinoma, and suitable areas for further studies were annotated on the histological slides. Two tumor cores per case were obtained, one from the tumor's center and another from its periphery, and introduced into three paraffin receptor blocks for optimized processing efficiency. The 4-micrometer-thick tissue microarray sections were stained for H&E and for CD68, CD163, CD8, CD4, and PD-L1; (3) Results: Our investigation revealed significant correlations between PD-L1 expression in tumor cells and the presence of CD163+ macrophages, between CD4+ cells and CD8+, CD68+, and CD163+ cells, and also between CD8+ T cells and CD163+ cells. Additionally, while we observed some differences in cellular components and densities between the tumor center and periphery, these differences were not statistically significant. However, distinct correlations between PD-L1 and immune cells in these regions were identified, suggesting spatial heterogeneity in the immune landscape. (4) Conclusions: These results emphasize the intricate interactions between immune cells and tumor cells in lung adenocarcinoma. Understanding patient spatial immune profile could improve patient selection for immunotherapy, ensuring that those most likely to benefit are identified.

Recent Advances in Self-healing Polymer Materials: Routes and Strategies

: The most intriguing area of scientific study and engineering applications is to synthetize materials that can autonomously heal damage similar to biological tissues. Since the concept of self-healing materials was established, several variations of self-healing polymer materials have been developed based on distinct healing techniques. This review outlines the most recent breakthroughs in self-healing polymers and utilizes the opportunity to categories the descriptions of self-healing technologies in the literatures according to extrinsic and intrinsic routes (noncovalent bonds, physical interaction, and covalent bonds). The major focus is on the routes and strategies used to generate self-healing polymer materials. In addition, the strengths and weaknesses of polymer materials with different self-healing routes and strategies in terms of mechanical and self-healing properties were summarized. Furthermore, we also reviewed the progress of the development from a single self-healing mechanism to multiple self-healing mechanisms to achieve balanced comprehensive performance. Finally, the future trajectory of self-healing polymers is envisioned.

A Preliminary Study on Factors That Drive Patient Variability in Human Subcutaneous Adipose Tissues.

Adipose tissue is a dynamic regulatory organ that has profound effects on the overall health of patients. Unfortunately, inconsistencies in human adipose tissues are extensive and multifactorial, including large variability in cellular sizes, lipid content, inflammation, extracellular matrix components, mechanics, and cytokines secreted. Given the high human variability, and since much of what is known about adipose tissue is from animal models, we sought to establish correlations and patterns between biological, mechanical, and epidemiological properties of human adipose tissues. To do this, twenty-six independent variables were cataloged for twenty patients, which included patient demographics and factors that drive health, obesity, and fibrosis. A factorial analysis for mixed data (FAMD) was used to analyze patterns in the dataset (with BMI > 25), and a correlation matrix was used to identify interactions between quantitative variables. Vascular endothelial growth factor A (VEGFA) and actin alpha 2, smooth muscle (ACTA2) gene expression were the highest loadings in the first two dimensions of the FAMD. The number of adipocytes was also a key driver of patient-related differences, where a decrease in the density of adipocytes was associated with aging. Aging was also correlated with a decrease in overall lipid percentage of subcutaneous tissue, with lipid deposition being favored extracellularly, an increase in transforming growth factor-β1 (TGFβ1), and an increase in M1 macrophage polarization. An important finding was that self-identified race contributed to variance between patients in this study, where Black patients had significantly lower gene expression levels of TGFβ1 and ACTA2. This finding supports the urgent need to account for patient ancestry in biomedical research to develop better therapeutic strategies for all patients. Another important finding was that TGFβ induced factor homeobox 1 (TGIF1), an understudied signaling molecule, which is highly correlated with leptin signaling, was correlated with metabolic inflammation. Furthermore, this study draws attention to what we define as "extracellular lipid droplets", which were consistently found in collagen-rich regions of the obese adipose tissues evaluated here. Reduced levels of TGIF1 were correlated with higher numbers of extracellular lipid droplets and an inability to suppress fibrotic changes in adipose tissue. Finally, this study indicated that M1 and M2 macrophage markers were correlated with each other and leptin in patients with a BMI > 25. This finding supports growing evidence that macrophage polarization in obesity involves a complex, interconnecting network system rather than a full switch in activation patterns from M2 to M1 with increasing body mass. Overall, this study reinforces key findings in animal studies and identifies important areas for future research, where human and animal studies are divergent. Understanding key drivers of human patient variability is required to unravel the complex metabolic health of unique patients.

A Bibliometric Review of the Relationship between Sustainability Accounting and Financial Risk

This study conducts a comprehensive bibliometric analysis of the field of sustainability accounting and financial risk management, examining thematic clusters, research trends, research opportunities, and author collaborations from 1990 to 2024. Through an extensive review of literature and citation data, key thematic areas such as integrated reporting, environmental risk, and the financial impact of ESG factors were identified. Temporal trend analysis revealed an increasing focus on transparency in sustainability disclosures and the integration of corporate social responsibility into corporate risk management. Opportunities for further research were highlighted in underexplored areas including green accounting and the incorporation of non-financial risks into financial sustainability frameworks. Additionally, an examination of author networks provided insight into the collaborative dynamics among leading scholars, identifying core research groups and potential areas for new interdisciplinary studies. This study provides a structured overview of the scholarly landscape, identifying pivotal trends and gaps, thereby setting a foundation for future academic inquiries and practical applications in sustainability and financial risk management.

Hydroxyapatite synthesis and characterization from waste animal bones and natural sources for biomedical applications.

Hydroxyapatites (HAps) synthesized from waste animal bones have recently gained attention due to their outstanding properties. This is because there is a need to fabricate scaffolds with desirable mechanical strength, ability to withstand high temperatures, and insoluble in solvents such as water, acetone, ethanol, and isopropyl alcohol. This study is an extensive summary of many articles on the routes of synthesis/preparation of HAp, and the optimum processing parameter, and the biomedical application areas, such as: drug administration, dental implants, bone tissue engineering, orthopedic implant coatings, and tissue regeneration/wound healing. A broad catalog of the synthesis methods (and combination methods), temperature/time, shape/size, and the calcium-to-phosphorous (Ca/P) value of diverse waste animal bone sources were reported. The alkaline hydrolysis method is proposed to be suitable for synthesizing HAp from natural sources due to the technique's ability to produce intrinsic HAp. The method is also preferred to the calcination method owing to the phase transformation that takes place at high temperatures during calcinations. However, calcinations aid in removing impurities and germs during heating at high temperatures. When compared to calcination technique, alkaline hydrolysis method results in crystalline HAp; the higher degree of crystallinity is disadvantageous to HAp bioactivity. In addition, the standardization and removal of impurities and contaminants, thorough biocompatibility to ensure clinical safety of the HAp to the human body, and improvement of the mechanical strength and toughness to match specific requirements for the various biomedical applications are the important areas for future studies.

Exploring Trends and Future Paths in Tourism Villages Research: An Intellectual Mapping

Sustainable tourism development in rural villages requires in-depth literature exploration. Bibliometric analysis reveals new themes and trends in village tourism research. The use of strategic diagrams enhances understanding of sustainable tourism research, particularly in rural villages. This approach uncovers new research opportunities and areas for future studies. Researchers searched the WOS database for rural tourism and tourist villages, focusing on scholarly journal publications from 2014 to 2023 in English. They employed advanced bibliometric techniques to examine the changing landscape of village and rural tourism research. Key identified themes include place attachment, traditional villages, and destination image. The analysis shows the importance of interdisciplinary approaches in creating sustainable tourism strategies, with a focus on understanding emotional ties to destinations and enhancing the significance of traditional villages. Future research should integrate cultural, social, and environmental dimensions into village tourism development, involving tourists in creating memorable experiences. The research underscores the significance of holistic and interdisciplinary approaches in promoting sustainable development. Nevertheless, constraints encompass scant bibliographic information, regional partiality, and inadequate examination of stakeholders' viewpoints regarding sustainable tourism growth.

First findings of Sarcocystis species in game deer and feral pigs in Australia

Several wild game meat species, including deer and feral pigs are hunted and consumed in Australia. Feral pigs and deer are not indigenous to Australia, but they have proliferated extensively and established their presence in every state and territory. Following the report of a sambar deer displaying Sarcocystis like white cysts in its rump muscles, the present study was conducted to explore the prevalence of Sarcocystis infections in wild deer and feral pigs in the southeastern regions of Australia. Oesophagus, diaphragm, and heart tissue from 90 deer and eight feral pigs were examined visually for sarcocysts. All results were negative. PCR testing of randomly selected deer and feral pigs yielded positive results, which were subsequently supported by histopathology. This is the first study to report the presence of Sarcocystis spp. in deer and feral pigs in Australia. As no visual cysts were found on the heart or oesophagus that came back positive with PCR, infected animals, particularly those reared free-range, could be passing through meat quality checks unidentified. If people consume this meat without cooking it properly, it may lead to a human infection of Sarcocystis. However, a more targeted study focused on determining the parasite's prevalence and assessing its risks is necessary to determine if it constitutes a food safety issue. As this species has been found not only in feral pigs but also in domestic pigs, the potential for infection spreading between feral pigs and pigs in free-range livestock systems is high, potentially posing a large problem for the Australian pork industry, particularly with the increased emphasis on free-range pig husbandry. Future studies should concentrate on determining the species of Sarcocystis in feral animals commonly consumed as game meat to determine potential zoonotic risks. This could also include a more in-depth look at the prevalence of Sarcocystis infections in other game animals. Identifying where these parasites are present and to what extent, are important areas for future studies.

An Intelligence-Based Cybersecurity Approach: A Review

Nowadays, cybersecurity stands out as a prominent topic frequently discussed by companies aiming to safeguard their data from hacking attempts. The rise of cyberspace has fuelled the expansion of electronic systems, creating a virtual digital realm that links computers and smartphones within the Internet of Things framework. Thus, the purpose of this study is to present the progress made thus far in applying AI-based intrusion detection systems (IDSs) to address cybercrimes, demonstrating their efficacy in detecting and preventing cyberattacks. The review utilized 4 scholarly databases; ScienceDirect, IEEE-Explore, Web of science, and Springer. 437 studies were extracted from the 4 chosen databases out of which only 54 studies were found to be relevant, thus included. The review found AI-based intrusion detection systems (IDSs) to be more robust and flexible compared to other conventional IDSs. Interestingly, the study results highlight how AI-based intrusion detection systems such as; ANN-based intrusion detection systems, agent-based intrusion detection systems, and Genetic-fuzzy intrusion detection systems, and other machine learning detection systems can be used to assist security experts in analyzing, designing, and developing security frameworks for combating cybercrimes. Lastly, the study proposed some areas for future studies.

Research on Impression Management: Current Progress and Future Possibilities

In recent years, impression management (IM) has garnered substantial scholarly attention, significantly enhancing our comprehension of various factors within organisational contexts. This is a systematic literature review (SLR) research on IM from 2016 to 2024, building on both foundational and recent research. IM involves intentionally influencing how others see us, which significantly affects both individual behaviour and the way organisations function. This review highlights the widespread role and implications of IM in workplaces. It looks at how IM techniques, organisational rules and gender stereotypes interact. Our review presents two major findings. First, we found a strong positive link between successful IM strategies and better organisational performance, showing the real benefits of skilled IM. Second, we noticed a complex connection between IM methods and employee satisfaction, pointing out the need to align IM practices with employee happiness. This SLR not only deepens our theoretical knowledge but also has practical applications for managers. It emphasises the importance of ethically managing IM to ensure authenticity and openness. Also, by pointing out missing pieces in the existing research, this review suggests new areas for future studies to investigate the changing trends and finer details of IM in modern organisational settings.