High Level Of Influence Research Articles

Artificial neural networks-based modelling of effects of cryogenic electrode treatment, nano-powder, and surfactant-mixed dielectrics on wear performance and dimensional errors on superalloy machining

In the present era dominated by Industry 4.0, the digital transformation and intelligent management of industrial systems is significantly important to enhance efficiency, quality, and the effective use of resources. This underscores the need for a framework that goes beyond merely boosting productivity and work quality, aiming for a net-zero impact from industrial activities. This research introduces a comprehensive and adaptable analytical framework intended to bridge existing gaps in research and technology within the manufacturing sector. It encompasses the essential stages of using artificial intelligence (AI) for modelling and optimizing manufacturing systems. The effectiveness of the proposed AI framework is evaluated through a case study on electric discharge machining (EDM), concentrating on optimizing the electrode wear rate (EWR) and overcut (OC) for aerospace alloy Inconel 617. Utilizing a comprehensive design of experiments, the process modelling through an artificial neural network (ANN) is carried out, accompanied by careful fine-tuning of hyperparameters throughout the training process. The trained models are further assessed using an external validation (Valext) dataset. The results of the sensitivity analysis indicated that the surfactant concentration (Sc) has the highest level of influence, accounting for 52.41% of the observed influence on the EWR, followed by the powder concentration (Cp) with a contribution of 33.14%, and the treatment variable with a contribution of 14.43%. Regarding OC, Sc holds the highest percentage significance at 72.67%, followed by Cp at 21.25%, and treatment at 6.06%. Additionally, parametric optimization (PO) shows that EWR and OC overcome experimental data by 47.05% and 85.00%, respectively, showcasing successful performance optimization with potential applications across diverse manufacturing systems.

The Impact of Social Media on Academic Performance of the Students of Tertiary Institutions in Nigeria

The advent of information and communication technology is being celebrated today in the whole world. It has become part of everyday life. This modern technology in no doubt has turned the whole world into a Global village. The study aimed at examining the influence of social media on academic performance of students of tertiary institution in Edo State. In other to measure social media platforms a questionnaire was developed based on past literatures. A structured questionnaire was administered to a sample of 300 students assessing the impact of teachers influence, school environment and motivation on performance in Students of tertiary institution in Edo State. The data collected are presented in tables and analysed using mean and standard deviations were used to answer the research questions. The influence of social media on the student’s academic achievement in students of tertiary institution in Edo State was categorized using mean ratings; 0- 1.5 = low level of influence; 1.6-2.5 = moderate level of influence; and 2.6- 4.0 = high level of influence. Findings revealed that students of tertiary institution in Edo State school employ social media platforms for various purposes, including establishing new social connections, engaging in conversations with existing friends, conducting research for academic assignments and educational resources, staying informed about contemporary trends and news, collaborating with classmates on group projects, and exploring potential academic pathways for their future endeavours. The frequency of social media usage does not exert a statistically significant impact on the academic performance of students in the field of Students of tertiary institution in Edo State. The frequency of social media usage by students does not have a substantial impact on their average academic performance in the field of Students of tertiary institution in Edo State. Hence, there is no significant variation in the average academic performance in the field of Students of tertiary institution in Edo State among students, irrespective of the frequency with which they engage in social media usage. The study recommends that the monitoring and management of students’ social media usage by teachers and parents is necessary to mitigate the detrimental impact on their academic performance in the field of students of tertiary institution in Edo State, as the beneficial utilisation of social media platforms has been shown to boost teaching and learning.

A Quantitative Study between Reading Habits and Reading Comprehension of Grade 11 Students

The study dealt with the reading habits and reading comprehension among Grade 11 students in Lorenzo S. Sarmiento Sr. National High School. The primary goal of the study was to assess the level of reading habits and reading comprehension in terms of their respective indicators, the significant relationship between reading habits and reading comprehension, and domains in reading habits significantly influenced reading comprehension. Moreover, this study utilized a quantitative-correlational design with 202 respondents among Grade 11 students in Lorenzo S. Sarmiento Sr. National High School. Average Weighted Mean, Pearson R, and Multiple Regression Analysis were the statistical tools used in this study. The results showed a high level of reading habits in terms of reading motivation as high, reading frequency and time allocation as high, and materials as high among Grade 11 students. Similarly, the outcome also resulted in a high level of reading comprehension with its indicators which were the working memory as high, vocabulary as high, prior knowledge as high. Moreover, the result also highlighted a high level of influence of reading habits to the reading comprehension among Grade 11 students in terms of reading motivation, reading frequency and time allocation, and materials. In addition, there was a moderate correlation and a significant relationship between reading habits and reading comprehension. Three domains of reading habits are shown as perceived by students. However, two domains only influence Reading Comprehension and materials were the only one domain that did not exert a significant influence on reading comprehension.

Analysis of E-Commerce Based on Business Incubators as an Effort to Improve the Sports Industry for MBKM Partners' Entrepreneurial Activities

Based on observations made by researchers, it was found that 1) The current global era makes challenges and competition increasingly sharp in capturing market share so that companies are required to utilize their resources effectively and efficiently in order to have a competitive advantage, 2) In Indonesia, the results of a survey conducted BPS also shows that as many as 84.92% of business actors still do not use E-commerce for various reasons, 3) General problems faced by MSMEs in Indonesia in developing their businesses include a) limited funding for business development b) low quality of human resources c) low ability to produce innovative products and d) weak mentoring (incubation). The research objective is to examine business incubator-based e-commerce as an effort to improve the sports industry for the entrepreneurial activities of Merdeka Belajar Kampus Merdeka (MBKM) partners. The research method uses descriptive quantitative qualitative research methods with a survey approach. The subjects of this research are the sports industry business people in Cirebon who understand the concept of business incubators selected using a purposive sampling technique. The results of this research show that sports industry entrepreneurs in Cirebon with presentations (55%) have a high level of influence in improving the sports industry. The conclusion of this research is that the use of business incubator-based e-commerce to improve the sports industry can give rise to new entrepreneurs who participate in developing the business of sports industry entrepreneurs in Cirebon, and the target of increasing the economic growth of the sports industry in the entrepreneurial activities of MBKM partners is achieved.

INFLUENCE OF ENTREPRENEURIAL ACTIVITIES ON LIVELIHOOD OF WOMAN MEMBERS OF SHGS

The present study was carried out in the Chhotaudepur district of Gujarat state, which is composed of six talukas. All of the talukas were selected for the study, and a total of 180 woman members of self-help groups (SHGs) were recruited as respondents. The research design employed was ex-post facto, and the aim was to examine the impact of entrepreneurial activities on the livelihoods of woman members of SHGs. The results were presented in tabular form, and the data was ranked based on its mean scores. The findings showed that the major influences of entrepreneurial activities on the livelihoods of woman members of SHGs were as follows: firstly, economic security had the highest mean score of 3.19 and was ranked first; secondly, the overall standard of living had improved after joining the SHG with a mean score of 3.14 and a rank of 2nd; thirdly, self-independence had increased after joining the SHG with a mean score of 3.01 and a rank of 3rd. It was observed that slightly over three-fifth (61.65 per cent) of the woman members of SHGs had a medium to high level of influence of entrepreneurial activities on their livelihood.

Investors' Reaction to Financial Reporting – Empirical Studies on Price Volatility on the Bucharest Stock Exchange

Abstract In this study, the impact of financial reporting upon investment decision is assessed through investors' behavior and measured by the stock price variation. This research analyzes preliminary, semestrial, and quarterly financial reports from 24 BSE listed companies, namely companies within the BET XT index (14) and companies within the BET AeRO index (10), over the reporting periods between 2018 and 2022. The main finding shows that investors, instead of being influenced by the market general trend, reacted rationally in 47% of the cases as they assigned the highest importance to the fundamentals from the preliminary reports. Based on the results obtained from the two indicators introduced in the research, we concluded that between financial reporting and market sentiment, the factor with the highest level of influence on price variation was financial reporting.

Stakeholders and network analyses in Tambora National Park, Sumbawa Island, Indonesia

Abstract. Anshor M, Basuni S, Arief H, Sunarminto T. 2023. Stakeholders and network analyses in Tambora National Park, Sumbawa Island, Indonesia. Biodiversitas 24: 5446-5463. The complexity of managing Tambora National Park (Tambora NP), West Nusa Tenggara Province, Indonesia poses a challenge to be overcome effectively by Tambora NP Office alone, thus the involvement of broader stakeholders is needed. These stakeholders have their respective levels of influence and interests which affect the relationship between them and Tambora NP Office. Therefore, this study aimed to identify the stakeholders related to the management of Tambora NP, and investigate their interests and influence using social network analysis. A stakeholder analysis was conducted by the following steps: (i) identifying the stakeholders, (ii) mapping the stakeholders, and (iii) assessing the relationship among stakeholders. The analysis identified 38 stakeholders related to Tambora NP management. Tambora NP Office is the primary stakeholder with the highest level of influence and interest. The relationship established in the management network of Tambora NP is still weak and centralized among several stakeholders in which Tambora NP Office is the most central stakeholder. The relationship among stakeholders is dominated by five stakeholders, namely Tambora NP Office, Natural Resources Conservation Agency of West Nusa Tenggara (BKSDA NTB), Executive Board (DP) of Geopark Tambora, Forest Management Unit (KPH) Tambora and the Environment and Forestry Provincial Service of West Nusa Tenggara Province (Dinas LHK NTB). These five institutions also dominate the proximity between stakeholders, so the information flow is not evenly distributed to all stakeholders. The weak relationships among stakeholders could be overcome by enhancing the flow of information and communication which could be facilitated by Tambora NP Office, BKSDA NTB, and DP Geopark Tambora.

Learning utility of smart school learning space: the impact of spatial factors via visual stated preference method

ABSTRACT In the era of Education 4.0, the development of smart schools represents a significant step forward. Learning spaces are critical to the success of smart school construction in primary and secondary schools, due to their significant impact on school-age children. This study focuses on identifying key spatial factors that influence students’ psychological preferences and learning utility in smart learning spaces. To achieve this, a visual stated preference method was employed to design a questionnaire, which was used to survey primary and secondary school students in Harbin, China. The resulting data was analyzed using a discrete choice model, which enabled the measurement of the utility levels of different learning space factors. The results show that students’ learning space preferences are significantly influenced by a variety of spatial factors, with the combination mode of classrooms and outdoors having the highest level of influence, followed by a completely open interface, U-shape seating layout, zoned color tone, and the combination mode of classrooms and corridors; the students surveyed show a significant negative preference for heteromorphic spaces compared to rectangular spaces. The discussion recommends the design of smart learning spaces around key spatial factors to enhance the utility of student learning.

The Role of Job Satisfaction and Employee Engagement in Talent Management

Talent management is important for organizations, first of all, to gain a competitive advantage. Thehigh demand for talent imposes special requirements on employers at the global and state levels. The identification of factors contributing to the retention of talents within the management process, and testing of the formed model, was designated as the main purpose of the article. The study identified independent variables, such as job satisfaction and engagement to work, and examined how they contribute to the dependent variable, i.e. talent retention. Smart PLS4 and IBM SPSS programs for statistical data processing were used to assess the quality of the model and conduct multi-regression analysis. During the analysis, the task was set to take into account the aspect of differences and gender diversity between age generations, which can influence variables. To perform this task, a significance test was conducted, that is, Anova and Manova analysis of variance. As a result of an online survey of 126 respondents, primary data were obtained. Based on the confirmation and non-confirmation of hypotheses, a number of conclusions have been made. Factors such as engagement and job satisfaction showed a high level of influence on the retention of the necessary personnel in the workplace (70.7%). In order to minimize the shortage and turnover of labor in the labor market, it is necessary to pay attention to an inclusive approach, as it helps to prevent the outflow of talent.

Looking For Cash Cow Influencers: Influencer Category, Fake Followers, Follower Engagement and Influencer Marketing Strategy

When making social media marketing campaigns, the number of followers of influencers has become a key factor. Still, it's not clear if having more followers, which is one way to measure influence, is the best way to get customers interested. A new area of research that needs to be looked into is the link between fake followers and user engagement. The purpose of this paper is to study the relationship among influencer categories based on follower counts, follower engagement, and the perception of fake followers, thus providing suggestions for companies to achieve effective influencer marketing. This paper gets most of its information from questionnaires and uses SPSS to look at the information.The correlation analysis is conducted between follower engagement, the perception of fake followers, the fit of service content and needs, and follower counts. This paper also tests the influencing factors of influencer marketing: fake followers and customization services. The regression model is examined in terms of the dimensions of follower engagement, follower categories, and the perception of fake followers, along with the curve estimation and fit of service content and needs. This article suggests that a higher level of influencer, such as a well-known influencer with a lot of followers, is linked to a wider range of interactions with fans and a higher level of influence in the eyes of consumers.And there is a quadratic trend between the idea of fake followers and how active followers are.

Structural Diffusion Model and Urban Green Innovation Efficiency—A Hybrid Study Based on DEA-SBM, NCA, and fsQCA

This research is based on structural theory and innovation diffusion theory, exploring the theoretical foundations and influencing factors of urban green innovation to provide theoretical support for the realization of the world’s sustainable development goals (SDGs). By using the methods of Data Envelopment Analysis with Slacks-Based Measure (DEA) non-expected model, Necessary Condition Analysis of Research Methods (NCA), and Fuzzy Set Qualitative Comparative Analysis (fsQCA) in combination, the research analyzes the variables influencing the capability of urban green innovation. The study finds that the level of urban culture and absorptive capacity are necessary conditions for urban green innovation, with urban absorptive capacity having a high level of influence. The main paths for urban green innovation are a comprehensive cultural innovation path, an open cultural inclusion path, an open participation innovation integration path, and an outcome transformation to drive the innovation path. In addition, the research discovered patterns of cultural influence that go beyond institutional and resource-based structural factors, subject action processes, and transformation models guided by absorption and sustainable participation. The research results have important significance for understanding the driving factors and promotion paths of urban green innovation, providing empirical evidence for the realization of the world’s SDGs.

A SPATIAL STUDY OF LAND AND FOREST FIRE-PRONE AREAS IN SITUBONDO REGENCY, EAST JAVA PROVINCE

The increasing area of land burned in 2021 makes the government urgent to map areas prone to forest fires in Situbondo Regency. This study analyzes areas prone to forest and land fires using the SMCA method. The research analysis used variables of land cover type, the greenness of vegetation, vegetation humidity, land surface temperature, and human factors. The human elements in question are accessibility (distance from the road network) and distance from human activities (distance from settlements, fields, and plantations). The conclusion analysis of forest fire-prone areas is divided into three classes that are high, medium, and low. From the vulnerability model that has emerged, it was found that most of Situbondo Regency have a high grade of forest fire vulnerability with an area of 652.66 km² (39.08%). The areas with the level of vulnerability of the middle, low, and non-vulnerable classes, respectively, are 532.12 km² (31.87%), 306.46 km² (18.35%), and 178.65 km² (10, 70%). The results of statistical tests using the ordinal logistic regression method show that natural factors for forest and land fires had a higher level of influence (? = 4.824) on forest and land fire vulnerability compared to human factors (? = 1.051).
 Keywords: Forest and Land Fires; GMA method; Natural Factors; Human Factor

Influence of Employee Empowerment on Job Satisfaction of Commercial State Corporations in Kenya

The general objective of this study was to establish the influence of employee empowerment on job satisfaction in commercial state corporations within Kenya. The majority of Kenyan employees are absorbed by the public sector, and the Kenyan workforce is also increasingly seeking opportunities to work in the public sector. Due to this trend, it is of the essence to explore the degree to which employees' empowerment is influencing employee job satisfaction. The study's general objective was to establish the effects of employee empowerment on job satisfaction of commercial state corporations within Kenya. Specifically, the study sought to assess the influence of job design; to establish the influence of transformational leadership; to establish the influence of employee involvement and to establish the influence of knowledge-sharing practices on employee job satisfaction of commercial state corporations within Kenya. The Herzberg’s Two-Factor Theory, Structural Empowerment Theory, and Social Exchange Theory guided the study. The study employed the descriptive research design in collecting data from the field. The target population of this study consisted of 55 commercial state corporations within Kenya. The sample size was 48 commercial state corporations. The main research instrument for data collection was a questionnaire. The applicability of the questionnaire to the proposed study was ascertained through a pilot study including 10 respondents from the study’s target population. A frequency analysis of this dataset revealed an 83.33% response rate, which is satisfactory. Conversely, the multiple regression analysis revealed a strong positive linkage between employee job satisfaction and employee empowerment. Importantly, only job design was found to have a significant influence on employee job satisfaction of Commercial State Corporations within Kenya. Its null hypothesis was rejected at a 0.95 confidence level (α<0.05). Besides the degree of influence that the sub-variables of employee empowerment had on employee job satisfaction varied. Job design had the highest level of influence (β =0.909), followed by Knowledge-sharing practices (β =0.385), Transformational leadership (β =0.149), and lastly, employee involvement (β =0.008). The study thus concluded that employee empowerment had a significant relationship with employee job satisfaction in commercial state corporations within Kenya. In particular, the study revealed that job design was the most dominant employee empowerment tool at commercial state corporations within Kenya. The study recommends that these organizations ought to increasingly consider employee empowerment policies that aim to boost knowledge-sharing practices, transformational leadership and employee involvement. Keywords: Employee Empowerment, Employee Involvement, Job design, Employee Job Satisfaction, Knowledge Sharing Practices, Organizational Commitment, Organizational Performance, Transformational leadership.

The “Digital Economy of the Russian Federation” national program as a support mechanism for the Russian information technology industry

The current pace of information technology development of the economy has a significant impact on the social life. This explains the necessity of using a scientific approach to assess the effectiveness of the implementation of the “Digital Economy of the Russian Federation” national program as a tool of government regulation of the economy and determines the high relevance of the topic of the study. The goal of the article is to identify significant areas of regulation of the Russian information technology industry on the basis of the assessment carried out. The objective of the study was to perform comprehensive analysis of the economic situation of the Russian Federation using the example of the information technology industry and to propose measures aimed at addressing imbalances in the industry’s advancement. The author of the article examined performance indicators of the industry and provided a description of the national program under study. The econometric model constructed revealed a high level of influence that program implementation measures have on the competitiveness of the industry.

The interaction between microbiota and immune in intestinal inflammatory diseases: Global research status and trends.

This study aimed to conduct a bibliometric analysis of the relevant literature on the interaction between microbiota and immune in intestinal inflammatory diseases, and show its current status, hotspots, and development trends. The related literature was acquired from the Web of Science Core Collection on October 12, 2022. Co-occurrence and cooperation relationship analysis of authors, institutions, countries, references, and keywords in the literature were carried out through CiteSpace 6.1.R3 software and the Online Analysis platform of Literature Metrology. At the same time, the relevant knowledge maps were drawn, and the keywords cluster analysis and emergence analysis were performed. 3,608 related publications were included, showing that the number of articles in this field is increasing year by year. The results showed that Gasbarrini A and Sokol H were the authors with the highest cumulative number of articles with 25, and the institution with the most articles was Harvard University with 142 articles. The USA was far ahead in the article output, with 1,131 articles, and had a dominant role, followed by China with 707 articles. The journal Frontiers in Immunology contributed the most to this research field with 213 articles. In the cooperation network analysis, the USA, Harvard University, and Xavier RJ were the most widely collaborated country, institution, and author, respectively, which implied a high level of influence. Keywords analysis showed that there were 770 keywords, which were mainly classified as internal related diseases, such as "inflammatory bowel disease", "irritable bowel syndrome", "colorectal cancer", and the mechanism of interaction of microbiota and immune, such as "intestinal microbiota", "commensal microbiota", "regulatory T cell", "dendritic cell", "barrier function", "activation", "anti-inflammatory properties", "intestinal epithelium", and "diversity". Emerging analysis showed that future research hotspots and trends might be the short-chain fatty acid, gut dysbiosis, gut-liver axis, and fusobacterium nucleatum. This research was the first bibliometric analysis of publications in the field of interaction between microbiota and immune in intestinal inflammatory diseases using visualization software and data information mining, and obtained the current status, hotspots, and development of this field, which provides a theoretical basis for its scientific research.

Assessing the Role of Strategic Groups in the Formulation of Composite Budgeting in the Tamale Metropolitan Assembly, Ghana

This study assesses the role of strategic groups in the formulation of composite budgets and the dynamics of power play at the Tamale Metropolitan Assembly. It deals with the questions of how participatory budgeting is operationalized, how strategic groups affect the composite budget system, and how strategic groups' participation in the composite budget is determined. It uses purposive sampling to select 45 members of strategic groups that are critical to the Assembly's composite budgeting processes. Data collected were mainly qualitative; key informant interviews, observations and focus group discussions. Strategic groups have varying degrees of interest in social intervention programs that do not significantly influence the Assembly's composite budget processes. The paper found that members of the executive committee, the budget committee, heads of decentralized units, and business executives generally have a high level of influence on the budget. The only opportunities for non-state actors to participate in the processes are the town hall and council sessions which are limited and technical for most non-state actors to follow. The paper recommends that it is necessary to strengthen the capacity of the non-state actors to guarantee that all interested parties participate fully and effectively in the composite budget system.

Systematic review and citation content analysis of the CHIME framework for mental health recovery processes: recommendations for developing influential conceptual frameworks

To identify design features of the CHIME conceptual framework of mental health recovery which are associated with high rates of citation. Systematic review of all citations of the Connectedness, Hope, Identity, Meaning, and Empowerment (CHIME) framework of mental health recovery. Papers citing CHIME were screened and extracted from three citation databases. Citation content analysis was used to investigate associations between nine CHIME design features. Citations were investigated across six forms of visibility: all citations; Anglophone vs non-Anglophone; academic vs non-academic; academic discipline; professional group; and clinical population. There were 915 eligible documents identified. Six CHIME framework design features met predefined thresholds for high levels of influence: (i) using a systematic review methodology for development, (ii) adopting a memorable acronym, (iii) having disaggregable components, and being unaligned to a (iv) particular discipline (i.e., transdisciplinary), (v) professional group, or (vi) diagnostic population. Documents from Anglophone countries were more likely to cite CHIME with reference to trans-professional (χ2=3.96, df=1, p=0.05) and ethnicity sub-group analysis (p=0.039) design features than non-Anglophone documents. Non-academic documents were more likely to cite the acronym design feature than academic papers (χ2=5.73, df=1, p=0.01). Public Health-related publications were more likely to cite CHIME within a trans-diagnostic framework (χ2=16.39, df=1, p<0.001) than other disciplines. The influence and impact of conceptual frameworks for recovery are increased when the framework is underpinned by a systematic review, includes disaggregable components which can be summarized using a memorable acronym, and when the framework is transdisciplinary, trans-professional, and trans-diagnostic.

Rotational Issues in Total Knee Arthroplasty: Commentary on an article by Eugene S. Jang, MD, MS, et al.: "Reference Axes for Tibial Component Rotation in Total Knee Arthroplasty. Computed Tomography-Based Study of 1,351 Tibiae".

Commentary Internal malrotation of the prosthetic components has been the single most common surgical error associated with the advent of contemporary total knee arthroplasties. On the femoral side, malrotation was primarily the result of posterior-referencing instrument systems and symmetrical components. On the tibial side, the reasons for internal malrotation have been multiple: the 85% predominance of varus knee deformity, the overwhelming incidence of the medial approach, the interference of the tibial tuberosity and patellar tendon with the traditional tibial cutting guides, and the innate desire of the physician to cover the entire tibial surface with a prosthetic device that is rotated to cover the deeper posteromedial bone. This study clearly indicates the preference of the Berger or Insall techniques, which involve using the medial third of the tibial tuberosity as the ideal osseous anatomic reference1. This landmark is very reproducible, accessible, and reliable. It is, however, only an osseous landmark, which ignores the influence of the previously positioned femoral component and the impact of soft-tissue balancing on the entire total knee procedure. For a computer or robotic arthroplasty enthusiast, numerical choices such as this one are attractive. They do, however, only reflect averages and thus may be expected to produce average results. While this narrows the Gaussian distribution of error, it does not account for the wide variation of anatomic configurations seen in clinical practice. Also, the overwhelming majority of prosthetic components are symmetrical and the natural knee is asymmetrical. While we think in our minds that we are reproducing the natural knee, we are merely placing a symmetrical component in a neutral “sweet spot” on 3 axes with 6 degrees of freedom. The fairly recent advent of asymmetrical tibial components has radically reduced the incidence of internal tibial rotation, although they must still conform, to some degree, to the axes identified in this computed tomography (CT) study. A general principle of all arthroplasties is that one should take advantage of both osseous anatomic and ligamentous soft-tissue input at every step of the procedure. Since most knee arthroplasties are now performed with the femoral component being inserted first—hopefully rotated to be parallel to the transepicondylar axis—the input of the femoral component and the supporting ligaments have a greater influence on the kinematic outcome than any single average osseous anatomic landmark2. A traditional approach to this issue was to first apply the trial femoral component to the distal part of the femur, then use a “floating trial” that would, after putting the knee through a range of motion, define the preferred position of tibial rotation relative to the femur and the surrounding ligaments. A knee is not a hip, and performing these component positionings in isolation is folly. If a floating trial indicates that the tibia would favor a rotational position aligned with the medial third of the tibial tuberosity, and the osseous and soft-tissue markers agree, then there should be no issue. If the floating trial position does not align over the medial third of the tibial tuberosity, then one must not only search for the reason but probably reach an accommodation. In my experience, the osseous position would dominate in a varus knee because of the greater influence of the topography of the surfaces. In a valgus knee, the ligaments often have a higher level of influence and should be preferred. Berger’s choice of the axis, which was confirmed by this CT study, has stood the test of time, over a quarter of a century. Asymmetrical components have corrected the surgeon’s natural impulse for internal rotation. The enunciation and confirmation of the importance of these choices is the major contribution of this article.

Involvement To Reduce Slum Settlements

The array of problems originating from slum settlements not only result in unwholesome environments, unlawful land utilization, and various internal challenges within the vicinity but also exert an impact on the surrounding regions and the overall urban infrastructure network. In pursuit of Indonesia's 2045 Vision, which emphasizes "Equitable and Integrated Infrastructure Development," the Zero Slums constitutes a pivotal component of the Ministry of Public Works and Public Housing's overarching vision. Nonetheless, a disparity has been identified in addressing slum settlements in West Kalimantan, hindering the achievement of this objective. This research aims to identify the stakeholders and the priority factors in determining the priority setting for slum area management in West Kalimantan. The method used in this research is semi-structured interview to identify and map stakeholders involved in priority setting, and geometric mean to identify influential factors which will then be analyzed by Interpretative Structural Modeling. The results found are that there are 24 stakeholders who are considered involved. Quadrant D (Manage Closely) stakeholders and primary stakeholders are members of the Supervisory Team, namely the Head of the Housing and Settlement Area Office (DPRKP), and the Head of the Regional Development Planning Agency (BAPPEDA). However, the highest level of influence is held by the Steering Committee and the highest level of interest is held by DPRKP. Ten categories with 22 factors were identified, and there are 9 ranking levels that influenced the decision to prioritize slum upgrading. The most influential factor is the difference in knowledge and experience of new and former Team Members.

The Interpretative Structural Modeling for Stakeholder Involvement to Reduce Slum Settlements

The array of problems originating from slum settlements not only results in unwholesome environment, unlawful land utilization, and various internal challenges within the vicinity but also impacts the surrounding regions and the overall urban infrastructure network. In pursuit of Indonesia's 2045 Vision, which emphasizes on "equitable and integrated infrastructure development", the zero slums constitutes a pivotal component of the Ministry of Public Works and Public Housing's overarching vision. Nonetheless, a disparity has been identified in addressing slum settlements in West Kalimantan, hindering the achievement of this objective. This research aims to identify the stakeholders and the priority factors in determining the priority setting for slum area management in West Kalimantan. The method used in this research is semi-structured interview to identify and map stakeholders involved in priority setting, and geometric mean to identify influential factors which will then be analyzed using Interpretative Structural Modeling. The results found are that there are 24 stakeholders who are considered to be involved. Quadrant D (Manage Closely) stakeholders and primary stakeholders are members of the supervisory team, namely the Head of the Housing and Settlement Area Office, and the Head of the Regional Development Planning Agency. However, the highest level of influence is held by the steering committee while the highest level of interest is held by Housing and Settlement Area Office. In addition, ten categories with 22 factors are identified with nine ranking levels found to influence the decision to prioritize slum upgrading. The most influential factor is the difference in knowledge and experience between the new and the former team members.