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Customized 3D-Printed Insoles for Diabetic Foot Care: Finite Element analysis and Machine Learning Approach

Yaodong Gu Gusztáv Fekete Zixiang Gao Yining Xu Zhenghui Lu Xin Li Qiaolin Zhang Hairong Chen

Publication Name: Advances in Transdisciplinary Engineering

Publication Date: 2024-01-01

Volume: 59

Issue: Unknown

Page Range: 515-522

Description:

Diabetic foot is a common complication in patients with diabetes, which can lead to plantar ulcers and even necessitate amputation. This study aims to utilize finite element analysis to simulate the offloading effects of 3D-printed insoles with various structures on plantar pressure and to explore the use of machine learning in providing optimal plantar pressure offloading solutions for patients with diabetic foot. The results demonstrated that negative Poisson's ratio structured insoles were more effective in reducing plantar pressure (reducing pressure by an average of 39.2%) than barefoot and conventional structures. This was achieved through a unique lateral contraction deformation, which increased the contact area with the foot. The pressure-reducing effect of insoles may be weight-related, suggesting that heavier patients may require stiffer insoles. However, the machine learning algorithm demonstrated a poor fit (only 60.75%) in the task of recommending suitable insoles. In conclusion, this study demonstrated the significant effect of negative Poisson's ratio structured insoles in reducing plantar pressure in diabetic patients, providing new ideas for diabetic foot protection. With the development of data analysis technology in the future, the feasibility and application of personalised insole design will be more promising.

Open Access: Yes

DOI: 10.3233/ATDE240588

TIoT: A Trust by Design Architecture for Secure and Private Internet of Things (IoT)

Mustafa S. Kadhm Hazeem B. Taher Tareq Nasser Mahdi H. Alsheakh Marwa Q. Alobaidi Waleed Algriree Fatimah Ihsan Abdulsahib Abeer Al Shammari Hayder Dhafer Mohammed

Publication Name: 2024 21st International Multi Conference on Systems Signals and Devices Ssd 2024

Publication Date: 2024-01-01

Volume: Unknown

Issue: Unknown

Page Range: 391-400

Description:

The Internet of Things (loT) facilitates the interconnection of a vast array of devices, services, and individuals for data exchange in multi-domain loT ecosystems, the social, physical, and cyber domains. That emerges various security, privacy, and trust issues, such as vulnerabilities, threats, and attacks. Addressing these challenges requires innovative solutions. New controls (solutions) are needed. Trust by design can be one of these controls, supporting security and privacy (among other system components). This paper proposes a Trusted loT (TloT), a trust-by-design model, and highlights the author's principal contributions. First, it advocates for implementing Tlo T through trust services. Second, it outlines an architecture for using trust by design in loT, including the design of its top-level structure and activities. Minor contributions include overviews of loT and trust, as well as looking at security and privacy in terms of security services and privacy services, respectively.

Open Access: Yes

DOI: 10.1109/SSD61670.2024.10549150

Optimum Train Weighing in Motion using Inertial Sensors

Szabolcs Fischer Morad Shadfar Majid Movahedi Rad Milad Kazemian Ahmad Mohammadi Doost Ebrahim Hadizadeh Raisi

Publication Name: Acta Polytechnica Hungarica

Publication Date: 2024-01-01

Volume: 21

Issue: 1

Page Range: 221-240

Description:

Continuous monitoring with advanced equipment and innovative scientific techniques is essential for timely and perfect maintenance. The interaction and dynamic force between wheel and rail is one of the most widely monitored issues. In this paper's case study of ballasted railway tracks in Iran, a set consisting of two separate strain gauge arrays and three different positions for installing accelerometers were designed according to the conditions. After installation, the system was calibrated with a predetermined passing axle load. The dependency of the arrays' and the equipment's installation location with the velocity of the passing axle load was examined as part of the field study after repeated investigation and comparisons of the setups' results. In order to gather data with the least error and the highest level of accuracy, it was decided on the more appropriate array with less dependence and a better installation position.

Open Access: Yes

DOI: 10.12700/APH.21.1.2024.1.14

The analysis of urbanization drivers in Kazakhstan: A regional assessment from 2010–2022

Laszlo Vasa Makpal Bekturganova Ainur Amirova Gaukhar Kenzhegulova Assel Bekbossinova

Publication Name: Journal of Infrastructure Policy and Development

Publication Date: 2024-01-01

Volume: 8

Issue: 8

Page Range: Unknown

Description:

Urbanization process affects global socio-economic development. Originally tied to modernization and industrialization, current urbanization policy is focused on productivity, economic activities, and environmental sustainability. This study examines impact of urbanization in various regions of Kazakhstan, focusing on environmental, social, labor, industrial, and economic indicators. The study aims to assess how different indicators influence urbanization trends in Kazakhstan, particularly regarding environmental emissions and pollution. It delves into regional development patterns and identifies key contributing factors. The research methodology is based on classical economic theories of urbanization and modern interpretations emphasizing sustainability and socio-economic impacts and includes two stages. Shannon entropy measures diversity and uncertainty in urbanization indicators, while cluster analysis identifies regional patterns. Data from 2010 to 2022 for 17 regions forms the basis of analysis. Regions are categorized into groups based on urbanization levels leaders, challenged, stable, and outliers. This classification reveals disparities in urban development and its impacts. Findings stress the importance of integrating environmental and social considerations into urban planning and policies. Targeted interventions based on regional characteristics and urbanization levels are recommended to enhance sustainability and socio-economic outcomes. Tailored urban policies accommodating specific regional needs are crucial. Effective management and policy-making demand a nuanced understanding of these impacts, emphasizing region-specific strategies over a uniform approach.

Open Access: Yes

DOI: 10.24294/jipd.v8i8.6157

Navigating COVID-19 Pandemic: Empowering Sustainable Supply Chains Performance through Leadership Capability, Knowledge Sharing Capability, and Strategic Management Capability amid COVID-19 Disruptions

Md Billal Hossain Jorge Alberto Esponda Perez Faisal Ejaz Abdul Basit Asma Javed

Publication Name: Cogent Business and Management

Publication Date: 2024-01-01

Volume: 11

Issue: 1

Page Range: Unknown

Description:

The advent of COVID-19 triggered widespread disruptions globally, adversely affecting businesses and resulting in financial challenges and a decline in overall performance. This unparalleled public health emergency has resulted in significant disturbances within the sustainable supply chain and posed a risk to human survival. In view of these considerations, this investigation aims to evaluate the effect of COVID-19 on Sustainable Supply Chain Performance (SSCP) along with its influence on leadership capability (LC), knowledge sharing capability (KSC), strategic management capability (SMC), and moderating organizational commitment (OC) in Pakistan. To examine the proposed hypotheses, data were collected from Pakistani enterprises actively involved in the supply chain and supply chain departments of manufacturing firms. Subsequently, comprehensive analyses were conducted using structural equation modeling to derive meaningful insights. According to the empirical outcomes, the pandemic had a negative influence on SSCP in Pakistan, but LC, KSC, and SMC helped mitigate these disruptions. In addition, LC, KSC, and SMC successfully mediated the relationship between COVID-19 and SSCP, moderating the role of OC. This study contributes significantly to the literature by incorporating resource-based view (RBV), dynamic capability view (DCV), and knowledge-based view (KBV) theories to analyze and understand LC, KSC, and SMC. Moreover, to mitigate the interruptions resulting from pandemic in Supply Chain (SC) operations and enhance profitability amidst such unprecedented circumstances, the model explained in this study can be a valuable tool for SC and logistics management specialists.

Open Access: Yes

DOI: 10.1080/23311975.2024.2371989

Challenges and opportunities in sustainability reporting: a focus on small and medium enterprises (SMEs)

Santi Setyaningsih Rosita Widjojo Peter Kelle

Publication Name: Cogent Business and Management

Publication Date: 2024-01-01

Volume: 11

Issue: 1

Page Range: Unknown

Description:

The purpose of the study was to observe how Small and Medium-sized Enterprises (SMEs) struggle to develop the sustainability reports that are today important and required by consumers. The rationale is that the sustainability report is influenced by governance practices, social responsibility, and environmental impact. The research successfully summarizes the barriers from 37 influential sustainability report papers by employing a thorough systematic literature review. It was based on 6 well-known databases with the limitation of exclusion criteria such as 11 years of research (2012–2023), used English, and more than 4 pages articles. According to the findings of this literature review approach, SMEs encounter six different sorts of barriers while trying to develop a sustainable report: financial, general attitude, knowledge and technology, organizational, policies and regulations as well as socio-environmental barriers. Based on this result, the top management of SMEs will be able to determine how to prioritize removing the biggest obstacles of their reporting task.

Open Access: Yes

DOI: 10.1080/23311975.2023.2298215

Using Tensor-Type Formalism in Causal Networks

Claudiu Radu Pozna Áron Ballagi Radu Emil Precup

Publication Name: Acta Polytechnica Hungarica

Publication Date: 2024-01-01

Volume: 21

Issue: 10

Page Range: 75-91

Description:

The causal network is a possible description of complex phenomena, and several domains, for example, Machine Learning, Social Science, and Artificial Intelligence. Although a successful solution is referred to in this paper, the field inherently faces challenges. Among these, the work identified that the formalism used is time-consuming and difficult to understand. Consequently, the approach proposed in this paper consists in transcribing this formalism in a tensor form. This goal is accomplished in three steps: first common tensor formulas are proposed for direct and inverse models; second these formulas are adapted for the network primitives; in the end the primitive and consequently the formula composition is analysed. To facilitate the understanding of the proposed formalism, the paper describes several examples. This paper is dedicated to Prof. Imre J. Rudas, to celebrate his 75th anniversary.

Open Access: Yes

DOI: 10.12700/APH.21.10.2024.10.5

Long-term clinical and angiographic outcome of T-and protrusion technique with ultrathin strut drug eluting stents

Zoltán Ruzsa Zsolt Fi Csaba András Dézsi Veronika Szentes Judit Andréka Mónika Deák Alexandru Achim Amer M. Sayour Zoltán Sebők

Publication Name: Future Cardiology

Publication Date: 2024-01-01

Volume: 20

Issue: 15-16

Page Range: 837-842

Description:

Objectives: Data about coronary bifurcations treated with ultrathin strut drug-eluting stents (DES) using T-and-protrusion (TAP) technique is limited. Methods: In this study, a total of 84 consecutive patients, who underwent bifurcation percutaneous coronary intervention (PCI) with TAP technique using Orsiro® DES (Biotronik, Berlin, Germany), were included. All pre- and post-procedural data, as well as 1- and 2-year follow-up angiograms, were analyzed. Primary endpoints were procedural success and target lesion failure (TLF); secondary endpoints were all-cause mortality and major adverse cardiac and cerebrovascular events (MACCE) during follow-up. Results: Procedural success was achieved in 100% of cases. TLF rate was higher in patients presented with acute coronary syndrome compared to the ones with chronic coronary syndrome (19% vs. 5% p = 0.09). All-cause mortality was 30% during follow-up, from which 26% was due to non-cardiovascular cause, and the MACCE rate was 46%. Conclusions: Coronary bifurcations treated with ultrathin strut DES showed good short-term results and were associated with acceptable cardiovascular mortality. However, in these long-term patients, the rate of MACCE and non-cardiovascular death were rather high.

Open Access: Yes

DOI: 10.1080/14796678.2024.2435205

Corporate Social Responsibility Approach by SMEs’ Managing Directors in the Hungarian City of Győr—Empirical Evidence

Adrienn Reisinger

Publication Name: Palgrave Studies in Governance Leadership and Responsibility

Publication Date: 2024-01-01

Volume: Part F3204

Issue: Unknown

Page Range: 121-139

Description:

The chapter aims to introduce the managing directors’ approach about corporate social responsibility (CSR) in a Hungarian city of Győr. Getting information about how managing directors are thinking about the topic is a crucial one in SMEs CSR research. Interview research was made with 50 SMEs in Győr in 2021 and 2022 to investigate CSR approach. Results show that in medium sized companies managing directors know more likely the term CSR but it does not relate with their CSR knowledge or use of CSR term. The research provides information for both academics and practitioners by exploring managing directors’ knowledge and approach to CSR.

Open Access: Yes

DOI: 10.1007/978-3-031-61551-1_6