Review Of Research Research Articles

A review of research on training responsible large language models

Abstract. In recent years, there has been a growing acceptance of large language models (LLM) as a mainstream method in the field of natural language processing. Consequently, numerous studies have been conducted on this topic. Training responsible Large Language Models have become a prominent subject of research in the past few years. This type of research mainly focuses on the examination of bias, morality and other aspects of LLM. There are certain similarities in the methodologies employed in those studies. This article presents a comprehensive overview of numerous recent investigations, analyzing and categorizing the methodologies employed in these studies, and offering a literature review. This review examines the three perspectives of LLM bias data set construction, bias detection and bias elimination It provides a comparative analysis of the advantages and disadvantages of different methods. After completing relevant evaluations, a comprehensive examination of the research on training responsible LLM is conducted and potential future research directions are proposed in this article.

A Review of Current Research and Future Development of Autonomous Driving Technology

Abstract: At present, the automobile industry is undergoing a new round of technological revolution, and autonomous driving technology is also experiencing a period of rapid development, with very active research and technology iteration. Autonomous driving can prevent accidents that occur due to human errors such as inattentiveness and driver fatigue, thereby enhancing road safety. Additionally, autonomous technology helps alleviate traffic congestion and optimize flow by utilizing coordinated driving strategies, such as vehicle-to-vehicle communication (V2V) and vehicle-to-infrastructure communication (V2I), enabling platooning, intelligent rerouting, and other advanced driving techniques. The autonomous driving system can control the vehicle according to the optimal driving strategy, can drive the vehicle in a smoother way, optimize fuel consumption or power use, thereby reducing operating costs and improving travel experience, and has a wide range of application potential and potential social value. This paper summarizes the current research status and development trend of autonomous driving technology, summarizes the current research status of autonomous driving technology from the aspects of environmental perception, machine learning, control execution, etc., while also projecting future directions for the field. Advancements in this technology have the potential to revolutionize transportation, offering significant convenience and transforming daily life. Moreover, it can promote the development of major industries, increase national GDP, affect urban planning and layout, and even improve our living environment and benefit ecological construction.

A Review of Facial Generation Technology Research

Abstract. Face generation, as a cutting-edge generative technology, has made significant strides in various image synthesis tasks, including facial inpainting, text-to-image translation, and video-based facial animation. Generating realistic and diverse human faces is a critical task in computer vision, with a wide array of real-world applications. Given the remarkable success of face generation models, there has been a growing interest in leveraging advanced techniques to further improve the quality, diversity, and control of generated faces. This paper will provide a comprehensive overview of the state-of-the-art face generation techniques. Specifically, the paper reviews the key approaches in this field, including Generative Adversarial Networks (GANs), Vector Quantized methods, and the more recent Diffusion Models, each of which has contributed significantly to the advancement of face generation. The paper discusses how these models have evolved to handle the complexity of face generation, from capturing subtle facial details to enabling fine-grained control over facial attributes. The paper also explores the major applications of face generation technologies, with a particular emphasis on their use in entertainment, virtual reality, and security. Finally, the paper identifies promising directions for future research in face generation, such as improving the interpretability of models, addressing ethical concerns, and enhancing the ability to generate faces that are both highly realistic and diverse.

Mountain Logistics: A Systematic Literature Review and Future Research Directions

Background: The sustainable development of mountain areas, which have fragile ecosystems, has increasingly attracted the attention of researchers and practitioners. Logistics systems are crucial in supporting these regions and addressing mountainous terrain’s unique challenges. While many studies have examined aspects of mountain logistics, a comprehensive and systematic review of the field is still lacking. Design/Methodology/Approach: This paper aims to fill the gap by systematically reviewing the existing literature on mountain logistics using the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) methodology. Results/Conclusions: We identify four main research foci: design of logistics infrastructure or vector, optimization of logistics systems, safety in logistics systems, and impact of logistics systems on mountain communities. In addition to categorizing these themes, we conduct a detailed descriptive analysis of published studies in this domain. Our findings highlight significant research gaps, particularly in integrating digital technologies, sustainable mass transportation solutions, and logistics systems’ socioeconomic and environmental impacts. We propose targeted directions for future research to advance sustainable logistics practices in mountain regions.

Sustainable warehouse management: a literature review and future research agenda

Sustainable warehouse management: a literature review and future research agenda

Sexual Harassment in the Workplace: Pattern Identification and Treatment

Sexual harassment in the workplace is a societal norm that generates discomfort, especially among women. This study aims to detect and address patterns of sexual harassment in the workplace from an industrial and organizational psychology perspective. They are analyzing data using a literature review research strategy. The identification results revealed that five identifiable aspects of sexual harassment occurred. The specified process begins with the leader’s roles and then progresses to constructing other cultures, the victim’s emotional labor, and decreasing their performance. Based on this, we argue that sexual harassment can be avoided by enhancing the organization’s and its leaders’ tasks, as well as establishing a neutral institute to take care of workplace sexual harassment accusations. Keywords: pattern of sexual harassment, sexual harassment at work, sexual harassment treatment, gender equality

A Review of Researches on English for Specific Purposes and the Implications for Its Development in China

A Review of Researches on English for Specific Purposes and the Implications for Its Development in China

A Review of Citespace-based Literature Research on Safety Behavior in Construction Industry

A Review of Citespace-based Literature Research on Safety Behavior in Construction Industry

Sustainable Clothing Practices amongst Maharashtra's Elderly Women: A Cultural Legacy of Resourcefulness and Environmental Respect

Abstract: In the vibrant tapestry of India's cultural heritage, the state of Maharashtra stands as a beacon of sustainable clothing traditions, proudly upheld by its golden-aged women. This research illuminates the timeless and inspiring practices of these women who have seamlessly integrated tradition, sustainability, and environmental consciousness into their way of life. This paper employs qualitative research, including unstructured interviews with senior citizen women from rural Solapur and Nasik districts of Maharashtra. It seeks to document and explore the timeless practices and ingenious techniques these women employ to repurpose and upcycle clothing. To amplify the relevance of these findings, extensive reviews of prior research and existing theories have been conducted. From heirloom Paithani saris to everyday Ilkal saris, the practice of passing down clothing to future generations is customary. Moreover, these women demonstrate a unique penchant for repurposing old garments, often dressing newborns in soft, hand-me-down clothes from older siblings or cousins. One notable practice is the art of crafting vibrant rugs and quilts, known as "Godhadi" in Marathi, by transforming old garments. These women also eschew buying pillows, instead recycling discarded fabrics into hand-stitched cushions. In the face of adversity, the Maharashtra women, particularly those from marginalized communities, have remained resilient, embodying principles of resourcefulness, creativity, and deep respect for the environment. They ingeniously salvaged old Ilkal saris by retaining the undamaged portions and skilfully piecing them together, creating the "Junaari" sari. In Marathi, 'Juni' signifies old, plus 'sari', aptly naming this distinctive creation. This research offers a unique insight into the sustainable clothing practices of Maharashtra's elderly women, showcasing their resourcefulness and respect for the environment. Their practices provide valuable lessons for a world increasingly concerned with sustainable fashion and consumption.

Career success and geographical location: A systematic review and future research agenda

Career success and geographical location: A systematic review and future research agenda

A Study on the Impact of Talent Introduction Policies on Urban Mobility - A Literature Review

China is currently in a period of profound economic transformation, where the role of human resources in regional economic and social development has become increasingly pivotal. As the economy shifts towards a more innovative and knowledge-intensive model, the demand for high-skilled talent has risen sharply. In response to this trend, local governments have implemented various talent introduction policies aimed at attracting and retaining talent to promote high-quality economic development. This paper reveals the relationship between the implementation of talent acquisition policies and the mobility of high-skilled and low-skilled populations through a literature review of research on talent acquisition policies and population mobility. As an important and widely used regional development policy by local governments, the talent introduction policy has created a strong attraction to the mobility of labor, increasing the talent concentration of labor and knowledge overflow. The above conclusions are useful for the government to optimize the talent admission policy and the strategy of strengthening the country with talent.

An Exploration of Mobile Phone Policies and Associated Leadership Implications for School Leaders: A Systematic Review and Document Analysis

ABSTRACT The increasing prevalence of students bringing mobile phones (MPs) to schools has led to increasing pressure on school leaders to implement effective MP policies. Although the effects of MP use have been studied, there has been no systematic review of the MP management research and policies. The aim of this study is to report on challenges and approaches to address the arising implications of MP policies in schools. Using a systematic review of international research and a document analysis of national (Australian) policy documents, this study broadens the understanding of elements contributing to the effectiveness of MP policies at schools.

Policy-based evidence: the schools inspectorate in England, research and school mathematics policy

ABSTRACT Increasingly, debates about school mathematics curriculum and pedagogy refer to evidence. The Office for Standards in Education (Ofsted), the inspection service in England, published a series of research reviews, including one on mathematics. Using features of education review quality, we analyse Ofsted’s departure from scholarly norms, identifying a lack of transparency, weakness of research design and search strategy, and lack of rigour in the selection of evidence. Further, cited research is frequently misinterpreted and unwarranted causal claims made due to overgeneralisation and oversimplification. A specific example of this is the misappropriation of research on problem solving leading to recommendations conflicting with both the National Curriculum in England and the findings of other, more rigorous, research reviews. From this analysis, we argue that the mathematics review is an example of “policy-based evidence” and point to alternative ways that inspection evidence can complement mathematics education research to support evidence-informed policy and practice.

Organisational coaching to improve workplace resilience: a scoping review and agenda for future research

In an increasingly demanding and pressured work environment, employee resilience is acknowledged as a critical element to navigate adversity. There has been increased focus and interest in studying the nature of resilience in the workplace, however the mechanisms of developing and sustaining resilience are still under debate. Coaching is a promising method organisations use to improve employee resilience and provides employees with support to deal with the challenging working environment. There has been significant interest in coaching for resilience in recent years, however there is no overarching, consolidated view on the nature and dynamics of resilience coaching. This scoping review seeks to fill this gap by making three contributions. Firstly, we present details on various types of coaching approaches used to improve resilience. Secondly, we review the specific coaching elements and processes that lead to improved resilience and finally, we provide an overview on the efficacy of resilience coaching interventions. We conclude this scoping review with a roadmap for future research to help position and strengthen organisational coaching as a pillar of resilience development. This scoping review followed a five-stage PRISMA-ScR methodology which entails formulating research questions; identifying studies; choosing studies; extracting and charting data; and summarising the findings.

AI in business research

AbstractArtificial intelligence (AI) has emerged as a pivotal force in modern business transformation, garnering widespread attention from both practitioners and academics. With a notable exponential increase in AI‐related studies, we provide a research framework aiming to synthesize the existing literature on AI in the business field. We conduct a comprehensive review of AI research spanning from 2010 to 2023 in 25 leading business journals according to this review framework. Specifically, we review the literature from three research perspectives: (i) AI applications, (ii) human perceptions of AI, and (iii) AI behavior. We also identify five principal research questions and offer suggestions for future research directions.

Cardiac involvement in dermatological disorders: A narrative review

Recent studies have highlighted several pathogenic connections between skin disorders and cardiac manifestations. Dermatologists frequently encounter several genetic or inherited skin conditions that can have significant cardiac implications, including septal defects, cardiomyopathy, and valvular heart disease, which may sometimes be life-threatening. In this review, primary cutaneous disorders having cardiac manifestations are described. A comprehensive narrative review of the literature was conducted by searching articles published through November 2023 in the PubMed and Google Scholar databases. Original research articles, review articles, case reports, case series and other relevant English-language publications were included. The review identified several congenital diseases, inflammatory conditions, connective tissue disorders, and adverse drug reactions that have both skin and cardiac involvement. Diagnosing these cardiac manifestations in patients with skin conditions is crucial for appropriate management, timely intervention and effective patient counselling.

Analisis Pendapatan dan Kelayakan Usaha Salad Buah pada Mf Dessert

Income is all income received from other parties in the form of money or goods, as well as industrial output, which is valued based on the current amount of money from these assets. Turnover is one of the company's components and the main objective in preparing the income statement. This research aims to conduct an analysis of fruit salad income at Mf Dessert. Through this careful research and comprehensive literature review, it is hoped that we can provide deeper insight into the income that contributes to Fruit Salad at Mf Dessert and provide recommendations that can help Mf Dessert businesses optimize their business potential. The method used is descriptive qualitative. The results of this research show that the average revenue from Mf Dessert is IDR 3,900,000,- per 5 months with production costs incurred of IDR 3,484,873,- per 5 months. The production costs consist of fixed costs of IDR 4,000 per 5 months and variable costs of IDR 3,435,000 per 5 months. From the results of data analysis, it was found that the income earned by fruit salad at Mf Dessert was IDR 415,127 per 5 months. Based on feasibility research on Mf Dessert (R/C Ratio), a value (R/C Ratio) of 1.22 or 1.22 > 1 was obtained, meaning that for every cost incurred Rp. 1, it produces income of Rp. 1.22 so that the revenue is greater than the capital spent. So it can be concluded that the fruit salad at Mf Dessert can be said to be profitable and worth running.

Societal Attitudes Toward Service Robots: Adore, Abhor, Ignore, or Unsure?

Societal or population-level attitudes are aggregated patterns of different individual attitudes, representing collective general predispositions. As service robots become ubiquitous, understanding attitudes towards them at the population (vs. individual) level enables firms to expand robot services to a broad (vs. niche) market. Targeting population-level attitudes would benefit service firms because: (1) they are more persistent, thus, stronger predictors of behavioral patterns and (2) this approach is less reliant on personal data, whereas individualized services are vulnerable to AI-related privacy risks. As for service theory, ignoring broad unobserved differences in attitudes produces biased conclusions, and our systematic review of previous research highlights a poor understanding of potential heterogeneity in attitudes toward service robots. We present five diverse studies (S1–S5), utilizing multinational and “real world” data (Ntotal = 89,541; years: 2012–2024). Results reveal a stable structure comprising four distinct attitude profiles (S1–S5): positive (“adore”), negative (“abhor”), indifferent (“ignore”), and ambivalent (“unsure”). The psychological need for interacting with service staff, and for autonomy and relatedness in technology use, function as attitude profile antecedents (S2). Importantly, the attitude profiles predict differences in post-interaction discomfort and anxiety (S3), satisfaction ratings and service evaluations (S4), and perceived sociability and uncanniness based on a robot’s humanlikeness (S5).

Student Dropout: A Bibliometric Analysis of Influencing Factors Using VOS Viewer to Explore Trends, Impact, and Collaborative Patterns

This article presents a bibliometric review of academic research on student dropout. The aim is to identify trends, evaluate the impact of publications, and examine collaboration patterns within this field. The SCOPUS database is utilized to identify and classify the most relevant research based on journals, articles, authors, institutions, and countries. Additionally, VOSviewer software is employed to map the bibliographic material, using co-citations and keyword co-occurrence for scientific mapping. The results indicate a significant increase in the number of publications over a 10-year period, reflecting a growing interest in the topic. Citation analysis reveals that certain key articles have had a substantial impact, being frequently cited in subsequent work. It is also observed that researchers with publications in Q1 and Q2 ranked journals have made significant contributions to the literature, marking a strong influence in the field. In terms of collaboration, there is an increase in international partnerships, with a growing number of publications co-authored by researchers from different countries. Leading institutions in student dropout research include universities in the United States, Europe, and Latin America, noted for their high scientific output and influence on the topic. This bibliometric analysis not only provides a detailed view of trends and the impact of research on student dropout but also highlights the importance of international collaboration in advancing knowledge in this field. Received: 29 July 2024 / Accepted: 23 October 2024 / Published: 05 November 2024

A Bibliometric Review of Indoor Environment Quality Research and Its Effects on Occupant Productivity (2011–2023)

Over the past decade, there has been a growing recognition of the importance of indoor environmental quality (IEQ) in influencing occupant productivity. Researchers have studied various buildings, including offices, schools, hospitals, and residential settings, to understand the relationship between IEQ and productivity outcomes. Studies have taken a multifactorial approach, considering multiple aspects of IEQ. Evidence from the literature review suggests that the quality of the indoor environment is an essential factor that affects the productivity of building occupants, and it is one of the fundamental issues in the development of societies. This area of research requires the responsible participation of researchers at all levels, as there is significant scope to contribute to knowledge. Therefore, this study aims to conduct a bibliometric analysis of the published literature on indoor environmental quality and its impact on building occupant productivity through the scientific literature available from one of the largest and most famous academic databases, Scopus; the study was determined in 2011 to 2023. The search used differential thresholds for IEQ keywords affecting building occupant productivity. Three discrete queries were performed, resulting in approximately 3861 publications. These were filtered by reducing false positives and excluding publications irrelevant to the research topic. The final results were 72 publications. This study also used Excel and VOS viewer to analyse and create graphs and network visualisation maps to show the growth of publications and their types, active countries and institutions for recovered publications, international collaboration, author keywords, active journals, and citation analysis. This study can significantly advance our understanding of building occupant productivity and enhance quality of life and work. Evaluating the research outputs is essential for highlighting contributions to knowledge and global collaboration in this research area. The potential impact of this study is not just theoretical. It can shape the future of our built environments and the lives of those occupying them.