Search results

The cable inspection robot is essential in maintaining bridge cables. The purpose of this paper is to summarize the maintenance methods of bridge cables. It summarizes the advantages and disadvantages of the critical structures of the external overall frame, intermediate adhesion device, attachment mechanism and driving method of the cable inspection robot. Finally, it discusses the challenges the cable inspection robot faces and the direction of future research.

This paper summarizes the research progress of the cable inspection robot and details the advantages and disadvantages of critical structures such as the external frame, intermediate adhesion device, attachment mechanism, driving method and safe return device of the robot. Finally, it points out the future direction of cable inspection robots, including lightweight design, hybrid design, multi-robot cooperative work, multi-technology integration and intelligent cable inspection digital twin model.

The cables are the main load-bearing components of a bridge, and their safety is crucial. However, subjected to varying loads and environmental influences over a long period, cables are prone to damage, threatening the bridge’s stability. Cable inspection robots can comprehensively detect and repair cable damage, significantly improving efficiency and safety.

This paper provides a comprehensive review of the current research on cable inspection robots, enabling readers to have a comprehensive and systematic understanding of the critical structures and key technologies of cable inspection robots and providing scientific references for researchers working on cable inspection robots.

Interchange of text and hypertext between various systems is vital in order to reuse text and hypertext, but the task of generating translators between different representations is often complex and tedious. The Integrated Chameleon Architecture (ICA) is a public domain toolset for generating translators. However, ica can only handle context‐free grammars while the grammar of hypertext is not context‐free. This paper presents an extended ICA (E‐ICA) which is based on ICA with extra pre‐ and post‐processors to handle the context‐sensitive and implicit information of hypertext. A system called SGML‐MUCH has been developed using E‐ICA. The development and use of the SGML‐MUCH system is presented as a case study with converters for the hypertext systems MUCH, Guide, Hyperties, and Toolbook described in detail.

The present study was carried out to standardize the method for preparation of naturally carbonated fermented paneer whey beverage by incorporating pineapple and strawberry fruit juice and to check their suitability in the beverage by evaluating the organoleptic characteristics and shelf life of product.

Beverage was inoculated with yeast culture Clavispora lucitaniae at 0.5 per cent v/v and fermented at 35 ± 1°C for 36 h aerobically. Standardization of total soluble solids (TSS) (16, 15, 14, 13 and 12oBrix) and juice concentration (15, 20, 25 and 30 per cent) of beverage was done on the basis of organoleptic evaluation, and the beverage with TSS 12oB and 30 per cent juice was selected best for further storage study. Two types of beverages were prepared: paneer whey beverage blended with pineapple juice and paneer whey beverage blended with strawberry juice, and were stored at refrigerated (4 ± 1oC) and ambient (25 ± 5oC) conditions. Effect of storage on physico-chemical, microbiological and sensory attributes were studied periodically after every 15 days for 90 days of storage period.

There was significant decrease in brix:acid ratio (p = 0.0008) from 12.0 to 9.3, total sugar (p = 0.017) from 10.8 to 6.8, ascorbic acid (p = 0.002) from 17.8 to 9.3 mg/100 mL and lactose (p = 0.037) from 3.1 to 0.6 per cent content over 90 days of ambient storage period. Total yeast count increased during the initial stages of fermentation and started declining after 60 days of storage. The alcohol production started after 15 days and reached 0.7 per cent after 90 days for paneer whey beverages blended with strawberry juice. The more variations were found in the physico-chemical and microbiological properties of the beverage at ambient storage than refrigeration storage. Highest score for color, flavor, mouthfeel and overall acceptability was found on third days, which decreased further during the storage. The comparative study of the paneer whey beverage blended with strawberry juice stored at ambient and refrigeration temperature showed that maximum decrease was found for score of appearance/color, flavor, mouthfeel and overall acceptability at ambient temperature as compared to refrigeration temperature. Beverage stored at refrigeration temperature was found more acceptable than the beverage which was stored at ambient temperature irrespective of all types of beverages.

The refrigerated beverage was found more acceptable up to 90 days, whereas beverage stored under ambient conditions was found acceptable up to 60 days. The products so obtained had naturally produced CO₂, and little alcohol content added effervescence, sparkle, tangy taste and flavoring characteristics.

This study is an inquiry into practical solutions in the field of emergent disaster rescue methods and prevention management, and it focuses on planning, real‐time rescue, and emergency management. This study is a conventional writing style. Thus, the purpose of this study is to offer methods for governor reducing disaster losses in terms of human life and livelihoods.

The government should establish permanent disaster recovery institutions, such as disaster recovery coordinators, resource distributors at the provincial or state level, and nodes in districts to manage supplies, rescue activities. During the preparation stage of disaster responses, government offices must prepare the rescue plans and policies for future disasters, as well as create the documents for establishing part‐time civilian and volunteer agreements.

Even though residents suffer tremendous losses in terms of human life, regional administrators are usually and poorly organized at the preparation stage.

Disaster rescue activities depend heavily on civilians and organizations. A disaster rescue manager plays a key role, because he or she has received training in and has become familiar with emergent rescue operations.

Disaster rescue management is a valuable topic because it is a globally significant challenge to safeguard people's lives. A complex disaster of earthquakes and tsunamis occurring can give rise to nuclear radiation damage, for example, that occurred in Japan on March 11, 2011, is an illustrative case.

This paper aims to investigate the influence of socially- responsible human resource management (SRHRM) on employee fears of external threats during the COVID-19 outbreak, based on social support and event system theories. COVID-19 caused sharp profit declines and bankruptcies of hotels, restaurants and travel agencies. In addition, employees faced threats to their health and job security. How to overcome employee anxieties and fears about the negative impacts of this crisis and promote psychological recovery is worthy of attention from researchers and practitioners. This research investigated the impacts of SRHRM on employee fears through organizational trust, with the COVID-19 pandemic playing a moderating role between SRHRM and employee fears.

The hypotheses were tested through multiple linear regression analysis based on a survey of 408 employees in hospitality and tourism firms in China. Qualitative data were also gathered through interviews with selected managers.

The results showed that SRHRM had a negative influence on employee fears of external threats by enhancing trust in their organizations. In addition, the strength of the COVID-19 pandemic positively moderated the effect of SRHRM on employee fears. When the pandemic strength was more robust, the negative effects of SRHRM on employee fears were more significant.

This research illustrated the contribution of SRHRM in overcoming employee fears of external threats in the context of COVID-19. It shed light on the organizational contribution of SRHRM to hospitality and tourism employee psychological recovery during the crisis.

This research explored strategic HRM by examining the effects of SRHRM on employee fears in the midst of a severe crisis, specifically COVID-19. The moderation effect of event strength and mediation effect of organizational trust were tested. It is of great value for hospitality and tourism firms to foster employee psychological recovery during a crisis such as COVID-19.

This work analyzes a pharmaceutical supply chain (PSC) in terms of supply chain visibility (SCV). The current good distribution practice (GDP) guideline demands increased visibility from firms. The purpose of this paper is to propose a solution for SCV enhancements based on automatic identification (Auto-ID) technologies.

The authors qualitatively analyze data from ten case studies of actors in a PSC. A review of Auto-ID technologies supports the derivation of solutions to enhance SCV.

This work shows that the functionalities of Auto-ID technologies offered by current practical monitoring solutions and challenges created by the GDP guideline necessitate further SCV enhancements. To enhance SCV, the authors propose three solutions: securPharm with passive radio frequency identification tags, transport containers with sensor nodes, and an SCV dashboard.

This study is limited to a PSC in Germany and is therefore not intended to be exhaustive. Thus, the results serve as a foundation for further analyses.

This study provides an overview of the functionality of Auto-ID technologies. In juxtaposition with the influence of the GDP guideline, the use of our Auto-ID-based solutions can help to enhance SCV.

This work analyzes a PSC in Germany, with consideration given to the influence of current legislation. Based on a multiple-case-study design, the authors derive three Auto-ID-based solutions for enhancing SCV.

Nanosensors have a wide range of applications because of their high sensitivity, selectivity and specificity. In the past decade, extensive and pervasive research related to nanosensors has led to significant progress in diverse fields, such as biomedicine, environmental monitoring and industrial process control. This led to better and more efficient detection and monitoring of physical and chemical properties at better resolution, opening new horizons in the development of novel technologies and applications for improved human health, environment protection, enhanced industrial processes, etc.

In this paper, the authors discuss the application of citation network analysis in the field of nanosensor research and development. Cluster analysis was carried out using papers published in the field of nanomaterial-based sensor research, and an in-depth analysis was carried out to identify significant clusters. The purpose of this study is to provide researchers to identify a pathway to the emerging areas in the field of nanosensor research. The authors have illustrated the knowledge base, knowledge domain and knowledge progression of nanosensor research using the citation analysis based on 3,636 Science Citation Index papers published during the period 2011 to 2021.

Among these papers, the bibliographic study identified 809 significant research publications, 11 clusters, 556 research sector keywords, 1,296 main authors, 139 referenced authors, 63 nations, 206 organizations and 42 journals. The authors have identified single quantum dot (QD)-based nanosensor for biological applications, carbon dot-based nanosensors, self-powered triboelectric nanogenerator-based nanosensor and genetically encoded nanosensor as the significant research hotspots that came to the fore in recent years. The future trend in nanosensor research might focus on the development of efficient and cost-effective designs for the detection of numerous environmental pollutants and biological molecules using mesostructured materials and QDs. It is also possible to optimize the detection methods using theoretical models, and generalized gradient approximation has great scope in sensor development.

The future trend in nanosensor research might focus on the development of efficient and cost-effective designs for the detection of numerous environmental pollutants and biological molecules using mesostructured materials and QDs. It is also possible to optimize the detection methods using theoretical models, and generalized gradient approximation has great scope in sensor development.

This is a novel bibliometric analysis in the area of “nanomaterial based sensor,” which is carried out in CiteSpace software.

Drawing on social exchange theory, the purpose of this paper is to develop and test an integrative model of internal and external factors determining employee perceptions of their organizational service climate.

Data are collected from a sample of 549 service employees in local and foreign-owned service firms in the emerging market of Vietnam. Structural equation modeling is used to test the hypothesized relationships.

Leadership commitment to service quality, internal processes and service standards, work facilitation resources and service-oriented human resource practices are positively associated with service climate. Internal customer service mediates the effects of these variables on service climate, with the exception of work facilitation resources. Furthermore, competitive intensity negatively moderates the impact of the internal drivers on service climate. The results also suggest that, depending on the ownership types (local vs foreign firms), the influences of the internal drivers of service climate might differ.

Despite the recognition of the role of organizational resources in fostering service climate, the integration and processes by which such resources influence service climate have not been fully examined. In particular, little is known about the external factors facilitating or hindering service climate, especially from an emerging market perspective. By examining both internal and external drivers of service climate under different ownership types, this paper enriches the existing knowledge on service climate and provides important implications for service firms operating in emerging markets.

Continuous glucose monitoring (CGM) is a notable invention introduced in the biomedical industry. It provides valuable information about intermittent capillary blood glucose that is normally unattainable by regular clinical blood sample tests. CGM includes several progressive facilities such as instantaneous and real-time display of blood glucose level, “24/7” coverage, continuous motion of alerts for actual or impending hypo- and hyperglycemia and the ability to characterize glycemic variability. CGM allows users and physicians to visualize and diagnose more accurate and precise rate of change of glucose by capacitating small, comfortable, user-friendly sensor devices. Sometimes, this vital information is shared to the personal message box over Internet. In short, CGM is capable to inform, educate, motivate and alert (IEMA) people with diabetes. Despite the huge expectation with CGM, the available solutions have not attracted much attention among people. The huge potential of CGM in future diabetic study relies on the successful implication of the CGM. This paper aims at disseminating of state-of-the-art knowledge about existing work around the CGM.

This paper presents a comprehensive systematic review on the recent developments in CGM development techniques that have been reported in credible sources, namely PubMed, IEEE Xplore, Science Direct, Springer Link, Scopus and Google Scholar. Detailed analysis and systematic comparison are provided to highlight the achievement and future direction of CGM deployment.

Several key challenges are also portrayed for suitable opportunistic orientation. CGM solutions from four leading manufacturers such as Tandem, Dexcom, Abbott and Medtronic are compared based on the following factors including accuracy (% MARD); sensor lifetime, calibration requirement, smart device, compatibility and remote monitoring. Qualitative and quantitative analyses are performed.

This work can be a valuable source of reference and guidance for future research in this field.

The purpose of this paper is to investigate the strategy used by German Mittelstand companies to achieve a profitable business in China. It explores how those firms seek to reduce their risk of entry into this market.

Survey data were gathered over the phone from individuals in the companies who were identified as knowledgeable contacts. Their responses were then analyzed using descriptive statistics and structural equation modeling.

German Mittelstand firms that hire Chinese nationals in China obtain market knowledge and a higher return on investment than others. German managers’ efforts to understand the Chinese cultural norms increased the firm’s unwillingness to share information with others. This was probably because their concern about protecting their competitive secrets increased, so they shared less information with suppliers, which decreased their return on investment.

First, the small sample size limited the analysis. Second, there was low inter-rater reliability on multiple items, so these responses could not be analyzed. There is a need to further validate the survey, and obtain a larger sample to analyze alternative models.

This suggests to the practitioner that while it may be relatively easy to start a manufacturing business in China, it requires great effort to manage their risk of losing corporate secrets to their competitors in China.

This paper provides a unique set of data from practicing managers about the risks and gains from doing business in China. This data can be of use to both researchers and to practitioners and it provides a foundation to examine how the risk of losing proprietary knowledge to Chinese competitors affects business.