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The purpose of this research is to ascertain the feasibility of fabricating polymer optical fibers (POFs) based textile structures by knitting with Polymethylmethacrylate (PMMA) based optical fibers for textile sensor application. It has long been established that by using the principles of physics, POFs have the capability to function as sensors, detecting strain, temperature and other variables. However, POF applications such as strain and pressure sensing using knitting techniques has since not been very successful due to a number of reasons. Commercially available PMMA-based optical fibers tend to be fragile and susceptible to breakages when subjected to stress during the knitting processes. Also light transmitted within these fibers is prone to leakage due to the curvature that results when optical fibers are interlaced or interlooped within fabric structures.

Using Stoll’s multi-gauge CMS 350 HP knitting machine, five fabric structures namely, 1 × 4 float knit structure, tunnel inlay knit structure, 3:1 fleece fabric and 2:1 fleece fabric structure respectively were used to knit sensor samples. The samples were subsequently tested for length of illumination and sensitivity relative to applied pressure.

The results of this preliminary study establish that embedding plastic optical fibers into a knitted structure during the fabric formation process for soft strain sensor application possible. The best illumination performance was recorded for tunnel inlay structure which had an average of 94 cm course length of POF being illuminated. Sensor sensitivity experiments also establish that the relative spectral intensity of the fiber is sensitive to both light and pressure. Problems encountered and recommendations for further research have also been discussed and proffered.

Due to resource limitations, an innovative technique (use of precision weight set) was used to apply pressure to the sensors. Consequently, information regarding the extent of corresponding sensor deformation has not been used in this initial analysis.

Because the fundamental step toward finding a solution to any engineering problem is the acquisition of reliable data, and considering the fact that most of the popular technologies used for soft textile sensors are still bedeviled with the problem of signal instability and noise, the success of this application thus has the tendency to promote the wide spread adoption of POF sensors for smart apparel applications.

As far as research on soft strain sensors is concerned, to the best of the authors’ knowledge, this is the first study to have attempted to knit deformable sensors using commercially available POFs.

Interior workspace environments use exclusively artificial light, resulting in a loss of biological connection and natural light quality, as well as greater energy consumption. The purpose of the study is to identify a suitable system that can provide natural light to such interior spaces throughout the day while supplementing it with artificial light when necessary. The fundamental aim is to provide insights into the most effective solutions for energy-efficient lighting design in the UAE's environment, with the potential to lower energy consumption related to interior lighting.

The study adopted an empirical approach to gather and analyze primary data based on field measurements to understand and assess existing lighting conditions, as well as DIALux lighting simulation software to test the efficacy of the proposed HLS in terms of natural light delivery, illumination quality and energy consumption. A branch of a local bank in the United Arab Emirates, situated inside one of the shopping malls where there is no natural light penetration, has been chosen as a case study.

The findings of comparing the base case to four probable scenarios that used HLS revealed that the third scenario, which uses 100% pure sunshine and 35% artificial LED light during daylight operations and 100% LED light during night duty, is considered to be optimal in terms of illumination quality and energy efficiency.

The study demonstrated the potential of innovative lighting to improve the visual working environment in interior spaces with limited access to direct natural lighting, especially in arid regions, where sunlight is plentiful throughout the year. The study contributes new insights into the establishment of lighting-related recommendations and standards for the UAE context. This may include advice for sustainable construction practices, lighting guidelines or incentives to encourage the use of hybrid lighting technology in commercial and institutional buildings.

The Ottoman cultural legacy in Algeria is made up of a diverse range of architectural structures. The Algerian government strategy in connection with the Ottoman old buildings is to restore them into museums. This study will attempt to present a contrastive analysis between two old palaces being under restoration (refurbishment), and the goal is to propose a museum route by calculating the ambiance aimed at circulating the rooms by visitors.

The authors analyzed the architectural components of the various entities by observing in situ and taking measurements for a single case study to get a sense of the results for the mid-season (spring and fall). The configuration was next evaluated by modeling the space syntax and combining it with a simulation of daylight luminance, for the period when the authors could not make measurements on-site. The ultimate goal is to combine these findings to suggest the ideal in-route for the future museum.

This research allowed the authors to propose a museum itinerary adapted to the new vocation of the palaces, which considers the daylight as an element of composition in the spaces of circulation.

The paper proposes solutions to a flow management problem encountered in several similar palaces converted into museums.

The study aims to raise questions on the museum, and to preserve such heritage from neglect by giving it a new life more adapted to the needs of the Algerian society.

The authors believe that this contribution will be a creative solution for issues related to the operation of palaces that have been converted into museums.

The aim of this study is to investigate the influence of Project Management Office (PMO) functions on project performance in businesses in Lower Middle-Income Countries (LMIC) using Partial Least Square–Structural Equation Modelling (PLS–SEM).

Utilizing close-ended questionnaires in a cross-sectional survey, 256 project professionals from 10 business sectors in Ghana views were elicited. The questions were developed through a comprehensive literature review and involved 27 PMO functional measures grouped into 6 and 19 project performance measures grouped into 6. Data collected was then analysed using the PLS–SEM to validate the hypothetical relationship.

The PLS–SEM model supported 13 (t > 1.65) out of 36 hypotheses investigating the relationship between PMO functions and project performance. Variations in the PMO functions moderately (R2 = 0.34) explained the performance of projects. The aggregate activities of the PMO had the highest significant influence on environmental performance (R2 = 0.467). The topmost PMO function was identified as monitoring and controlling project performance, and it was significantly associated with cost (ß = 0.265, p < 0.05), quality (ß = 0.291, p < 0.05) and project scope (ß = 0.265 p < 0.05) performance.

This research has brought more illumination to the functions of PMOs and its influence on project performance. The results suggest that PMO activities, when tailored to the business context, can significantly change project performance variables.

Most research on PMO and project performance has been limited to developed countries or a single sector. This study uniquely expands the business sectors and focuses on LMICs.

This study aims to report the development and experimental evaluation of two kinds of PANI@semiconductor based photocathodic anti-corrosion coating, for application on stainless steel substrates.

PANI was in situ chemical polymerized on TiO₂ and BiVO₄ particles, and FT-IR and SEM/EDS were used to understand the characteristics and elemental distribution of the composite particles. Composite coatings, which consisted of epoxy, PANI@TiO₂ or PANI@BiVO₄ and graphene, were prepared on the 304L stainless steel. Photoelectrochemical response measurement, electrochemical tests and immersion tests were used to assess the anti-corrosion performance of the prepared coatings in 45°C 3.5 wt.% NaCl solution. And the corrosion protection mechanism was further explained by combining with surface observation.

The photoelectrochemical response tests revealed the good photocathodic effect of the coatings, and the reversible oxidation-reduction properties of PANI (pseudocapacitive effect) leading to the repeated usage of the coatings. Consequently, the anti-corrosion mechanism of the composite coating is attributed to the physical barrier effect of the coating, the anodic protection effect of PANI and the photocathodic and energy store effect.

These kind coatings could prevent corrosion from day to night for stainless steel, which has great engineering application prospects on stainless steel corrosion protection.

Coffee is one of the most consumed beverages in the world and the global coffee industry is worth over $100bn. However, the industry faces significant sustainability challenges. Developing a quality traceability system to select the coffee beans and to ensure their authentication would result in economic advantages, because it allows for fraud to be avoided and increases consumer confidence.

Traceability is one of the key elements of sustainability in the coffee sector. The literature reveals that near-infrared (NIR) approaches have a huge potential for gaining rapid information about the origin and properties of coffee beans, without invasive procedures. This study demonstrates the scalability potential of automated methods of manipulation and image acquisition of coffee beans, from experimental scale to industrial lines.

A solution based on the interaction of a manipulation system, a NIR spectrometer acquisition station integrated with a machine learning infrastructure and a compressed air classifier allows for the automatic separation of coffee beans into different classes of origin.

Apart from traceability, the wide industrialization of this system offers further advantages, including reduced workforce, decreased subjectivity in the evaluation and the acquisition of real-time data for labeling.

This case was written with publicly available information about Nintendo.

In the 1980s and 1990s, Nintendo dominated the video game industry with a market share of 90%. In 2020, Nintendo’s market share dropped to nearly 31%. This case examines a 40-year history of Nintendo, including its core strategy of video game and video game console development and its growth strategy using its intellectual property. Throughout its history, Nintendo has faced and continues to face stiff competition from Sony, Microsoft and new emerging technologies like virtual reality video games. Nintendo has the challenge of competing in a rapidly changing industry with changing customer preferences where it once had a dominant market share. Can Nintendo continue competing, relying on its core competency of developing new video games and consoles? Or moving forward, should it further define itself more broadly by continuing to leverage its intellectual property in the entertainment industry?

This case is suitable for undergraduate courses in marketing, marketing management and business strategy, or where an instructor focuses on strategic decision-making. This case will provide valuable in-class discussions on the importance of defining what a business should do and how it should grow. Additionally, this case will be useful for courses that include advanced discussions on tradeoffs between focusing on core competencies and growth by expanding into other opportunities that are not necessarily part of a business’s core strategy. A portion of this case was tested in an undergraduate marketing strategy and marketing principles course. The case created an excellent environment for critical thinking and analysis.

This study aims to delve into the effectiveness of applying traditional and more advanced digital means to document elements of cultural heritage, in this case large-format cartography. Application of multimethod digitalisation to a school map of the American continent dating to the early part of the 20th century has served to address specific issues, notably its multilayers consisting of paper, inks and a protective varnish on a textile medium. Its large format is likewise an obstacle to its digital capture.

The method applied here resorted to three registration systems: single-shot photography, panoramic photography and photogrammetry. The first two widely serve to capture works of large-format, whereas the third is commonly used to record volumetric assets. A variety of parameters were applied, notably different focal lengths, capture methods and processing software. The images obtained in each case were subjected to qualitative and quantitative comparisons so as to analyse their differences in terms of resolution and accuracy when compared to the map's real measurements, key criteria when duplicating cartographic documents.

Although the final products gleaned from the digital photographs, panoramic photographs and photogrammetry fulfil the basic functions required to record documents housed in archives, libraries, museums and other cultural institutions, this study highlights new advances and complementary functions stemming from certain of these techniques.

Digitalisation is a tool that serves to register, preserve, disseminate and analyse cultural heritage. However, some of the available techniques have rarely been applied specifically to graphic and documentary artefacts. It is for this reason that this study intends to demonstrate their utility in the detailed study of this heritage typology. Moreover, optimising the school map into a digital form favours its dissemination and remote consultation while simultaneously minimising direct manipulation, hence improving its long-term preservation.

This study aims to identify motivations for visiting Kyoto's prominent religious attractions using latent Dirichlet allocation (LDA) text analysis of online reviews; establish linkages between push motivational factors and pull factors of the religious sites, forming distinct tourist typologies; and suggest strategies for Kyoto's destination marketing based on the findings.

This study analyzed 37,772 TripAdvisor reviews for Kyoto's top 25 religious sites from the pre-pandemic period (March 2020). LDA topic modeling extracts 18 underlying thematic dimensions from the review texts. Axial coding of these dimensions revealed five distinct tourist motivation typologies.

Five motivation typologies emerged: cultural seekers drawn to Japan's unique heritage, nature lovers attracted by scenic landscapes, chrono-seasonal experiencers seeking distinct seasonal views, crowd-avoiders prioritizing less congested visits and city wanderers engaging in local activities.

The findings offer valuable guidance for destination marketers and managers in Kyoto, enabling the development of targeted strategies to enhance visitor experiences and manage overcrowding at popular religious sites.

This research provides novel insights into nonreligious tourists' motivations for visiting religious sites in a crowded destination. By identifying distinct motivation-based tourist typologies, the study informs strategies for enhancing visitor experiences tailored to diverse needs, contributing to tourism literature and practical destination management.

This research aims to investigate the relationship between knowledge capabilities, engagement capabilities, operational capabilities and sustainable supply chain flexibility in the steel production industry. In addition, it seeks to understand how these elements contribute toward achieving a net-zero supply chain, under the moderation of industry dynamism.

In total, 371 people have responded to the self-administered survey that the authors developed. The nonresponse bias analysis was carried out before diving into fundamental assumptions, such as homoscedasticity and normality. The data's reliability and construct validity were assessed by using confirmatory factor analysis. The hypothesized conclusions were supported by subsequent regression outputs, strengthening the body of existing academic research.

The research's empirical results highlight the positive relationship among knowledge capabilities, operational capabilities, sustainable supply chain flexibility and net-zero supply chain, particularly under the influence of industry dynamism. Information obtained from the steel production industry corroborates these findings. Moderation role of industry dynamism in the relationship between operational capabilities, engagement capability and sustainable supply chain flexibility was found significant.

This conceptual framework clarifies how knowledge capability, dynamic capabilities and the flexibility of a sustainable supply chain interact. It highlights how these factors collectively work together to attain a sustainable supply chain with net-zero environmental impact.