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A review of technological solutions for RFID sensing and their current or envisioned applications is presented. The fundamentals of the wireless sensing technology are summarized in the first part of the work, and the benefits of adopting RFID sensors for replacing standard sensor-equipped Wi-Fi nodes are discussed. Emphasis is put on the absence of batteries and the lower cost of RFID sensors with respect to other sensor solutions available on the market. RFID sensors are critically compared by separating them into chipped and chipless configurations. Both categories are further analyzed with reference to their working mechanism (electronic, electromagnetic, and acoustic). RFID sensing through chip-equipped tags is now a mature technological solution, which is continuously increasing its presence on the market and in several applicative scenarios. On the other hand, chipless RFID sensing represents a relatively new concept, which could become a disruptive solution in the market, but further research in this field is necessary for customizing its employment in specific scenarios. The benefits and limitations of several tag configurations are shown and discussed. A summary of the most suitable applicative scenarios for RFID sensors are finally illustrated. Finally, a look at some sensing solutions available on the market are described and compared.

In this paper, SiQDs were synthesized using 3-aminopropyltrimethoxysilane, an organosilicon source, via the room temperature stirring method under atmospheric pressure. Based on the “Turn-off” and “Turn-on” fluorescence response mechanisms, the SiQDs/Fe[sup.3+] fluorescent probe was constructed to quantitatively detect glyphosate according to the interaction between Fe[sup.3+] and glyphosate. Subsequently, the impacts of pH, incubation temperature, and reaction time on the detection of glyphosate were systematically investigated. Under the optimized detection parameters, the fluorescent probe exhibited a linear range of 2–10 μg/mL and a detection limit of 394.74 ng/mL. The constructed fluorescent probe demonstrated outstanding anti-interference performance. It was applied to actual samples of potato and yam, yielding satisfactory detection results with recovery values between 91.69% and 104.53%. These findings provide novel ideas and theoretical support for glyphosate residue detection.

Improving railway safety depends heavily on the reliability of railway turnouts. The realization of effective, reliable and continuous observations for the spatial analysis and evaluation of the technical condition of railway turnouts is one of the factors affecting safety in railway traffic. The mode and scope of monitoring changes in geometric parameters of railway turnouts with associated indicators needs improvement. The application of digital twins to railway turnouts requires the inclusion of fundamental data indicating their condition along with innovative monitoring of weather conditions. This paper presents an innovative solution for monitoring the status of temperature and other atmospheric conditions. A UbiBot WS1 WIFI wireless temperature logger was used, with an external DS18B20 temperature sensor integrated into an S49 (49E1)-type rail as Tszyn WS1 WIFI. Measurements were made between January and May (winter/spring) at fixed time intervals and at the same measurement point. The aim of the research is to present elements of a fundamental approach of applying digital twins to railway turnouts requiring the consideration and demonstration of rail temperature conditions as a component in the data acquisition of railway turnout condition data and other constituent atmospheric conditions through an innovative solution. The research showed that the presented innovative solution is an effective support for the application of digital twins to railway turnouts and ongoing surveying and diagnostic work of other elements of rail transport infrastructure. The applicability of the TgCWRII second temperature difference indicator in the monitoring of railway turnouts was also confirmed.

In this paper, SiQDs were synthesized using 3-aminopropyltrimethoxysilane, an organosilicon source, via the room temperature stirring method under atmospheric pressure. Based on the “Turn-off” and “Turn-on” fluorescence response mechanisms, the SiQDs/Fe3+ fluorescent probe was constructed to quantitatively detect glyphosate according to the interaction between Fe3+ and glyphosate. Subsequently, the impacts of pH, incubation temperature, and reaction time on the detection of glyphosate were systematically investigated. Under the optimized detection parameters, the fluorescent probe exhibited a linear range of 2–10 μg/mL and a detection limit of 394.74 ng/mL. The constructed fluorescent probe demonstrated outstanding anti-interference performance. It was applied to actual samples of potato and yam, yielding satisfactory detection results with recovery values between 91.69% and 104.53%. These findings provide novel ideas and theoretical support for glyphosate residue detection.

Purpose The organic food market is gaining momentum in advanced and developing economies. This study aims to unfold the determinants explicitly associated with consumers and organic food products (OFPs) that influence consumers’ attitudes and purchase intentions in a developing economy. Design/methodology/approach The stimulus–organism–response (SOR) is modified to examine the reasons behind the consumers’ purchase intentions of OFPs. Consumer-specific and product-specific stimuli are considered to find their influence on the orgasmic state of the consumers in the form of attitude and, finally, their purchase intentions in the form of response. A simple random sampling procedure was used during January and February 2024 to obtain the study-related responses from the participants from six major cities in India. Three hundred eighty-two questionnaires were deemed suitable for the study after excluding any outliers and incomplete responses from the completed survey. After screening and validating the collected data in IBM SPSS statistics 23, Amos version 23.0 was used to analyze the study’s hypotheses. Findings The findings showed that consumers’ specific stimuli, such as environmental concern, health consciousness and food safety concerns, positively motivate consumers’ attitudes. Also, product-specific stimuli such as nutritional content and awareness of OFPs positively affect the attitude of the consumers. Surprisingly, price fairness is revealed to have no substantial impact on the consumers’ attitudes. Finally, it is revealed that the consumers’ attitude positively impacts their purchase intentions of OFPs. Practical implications The study’s findings will assist OFP marketing professionals in comprehending the significant impact of consumer-specific and product-specific aspects of the products in shaping consumers’ attitude towards OFPs. The research discoveries are expected to offer valuable insights to aid decision makers in marketing OFPs to consumers in developing economies like India. Originality/value The present work has uniquely modified the SOR model by considering the consumer-specific and product-specific aspects of OFPs and empirically validated that both aspects are significant in shaping consumer attitudes, especially in developing economies like India.

: The goal of imaging tumors at depth with high sensitivity and specificity represents a significant challenge in the field of biomedical optical imaging. 'Surface enhanced Raman scattering' (SERS) nanoparticles (NPs) have been employed as image contrast agents and can be used to specifically target cells By tracking their unique \"fingerprint\" spectra, it becomes possible to determine their precise location. However, while the detection of SERS NPs is very sensitive and specific, conventional Raman spectroscopy imaging devices are limited in their inability to probe through tissue depths of more than a few millimetres, due to scattering and absorption of photons by biological tissues. Here, we combine the use of \"Spatially Offset Raman spectroscopy\" (SORS) with that of \"surface-enhanced resonance Raman spectroscopy\" (SERRS) in a technique known as \"surface enhanced spatially offset resonance Raman spectroscopy\" (SESO(R)RS) to image deep-seated glioblastoma multiforme (GBM) tumors in mice through the intact skull. : A SORS imaging system was built in-house. Proof of concept SORS imaging was achieved using a PTFE-skull-tissue phantom. Imaging of GBMs in the RCAS-PDGF/N-tva transgenic mouse model was achieved through the use of gold nanostars functionalized with a resonant Raman reporter to create SERRS nanostars. These were then encapsulated in a thin silica shell and functionalized with a cyclic-RGDyK peptide to yield integrin-targeting SERRS nanostars. Non-invasive SORS image acquisition of the integrin-targeted nanostars was then performed in living mice under general anesthesia. Conventional non-SORS imaging was used as a direct comparison. : Using a low power density laser, GBMs were imaged via SESORRS in mice (n = 5) and confirmed using MRI and histopathology. The results demonstrate that via utilization of the SORS approach, it is possible to acquire clear and distinct Raman spectra from deep-seated GBMs in mice through the skull. SESORRS images generated using classical least squares outlined the tumors with high precision as confirmed via MRI and histology. Unlike SESORRS, conventional Raman imaging of the same areas did not provide a clear delineation of the tumor. : To the best of our knowledge this is the first report of SESO(R)RS imaging. In a relevant brain tumor mouse model we demonstrate that this technique can overcome the limitations of conventional Raman imaging with regards to penetration depth. This work therefore represents a significant step forward in the potential clinical translation of SERRS nanoparticles for high precision cancer imaging.

PurposeBased on the stimulus-organism-response theory, this research constructs the influence of the stimulus factors of the live-streaming shopping environment on consumers' psychological situation. It then produces the research model of impulsive purchase intention.Design/methodology/approachIn this study, the online questionnaire survey method was used to survey users who participated in live-streaming shopping, and a total of 335 valid questionnaires were collected. Then SPSS and SmartPLS were used for data empirical evaluation and hypotheses test.FindingsResearch results show that demand, convenience, interactivity, and playfulness are positively stimulating consumers' perceived enjoyment. And their perceived enjoyment directly drives their intention of impulsive purchase.Practical implicationsThe choice of the live streaming platform, the design of the interactive interface, and the design of the shopping process are all factors that the streamer must carefully consider. The results of this study can be used as a reference for the development of live-streaming shopping and provide the industry with an understanding of the main factors that affect users' live streaming and impulsive purchases to plan an effective live streaming platform and content.Originality/value“E-commerce live streaming” is regarded as the latest trend of e-commerce, and impulse buying is regarded as a key factor in the success of transactions. This research has developed factors that influence impulsive purchases after watching live streaming based on the SOR theory.

To achieve sustainable tourism, the tourism development authorities have used advanced technologies to promote destinations, attract visitors, and protect the environment. Accordingly, while the available research on tourism technologies indicates that virtual reality (VR) matters in the visit intention of potential tourists, the mechanism of their inner senses when experiencing VR technologies is overlooked. To fill in this void, this study develops a comprehensive conceptual model for investigating the influence of VR technological features on tourists’ minds, and consequently, their destination visit intention. This study integrates the technology acceptance model, stimuli-organism-response model, and flow theory into a unified conceptual model for a comprehensive understanding of tourists’ behavior. By focusing on tourists’ decision-making and behavior processes, this study sheds new light on how VR stimuli (i.e., vividness and interactivity) could translate into tourists’ attitudes and visiting intentions. This conceptual model is then tested and validated using structural equation modeling on survey data collected from 311 VR users after experiencing virtual tours designed for destinations in Vietnam. The findings indicate that virtual tours affect tourists’ psychological well-being, which translates into visiting intention. Based on the results, this study emphasizes the role of VR as a powerful marketing tool to promote a destination. Furthermore, approaches to enhance the effectiveness of VR tours, particularly, for tourism developers, are proposed. This study thus contributes to the literature in the area of VR tourism, contributing both theoretical and practical knowledge.

With the proliferation of live streaming, there is evidence that online impulse buying is becoming an emerging phenomenon. Although many studies have investigated impulse buying in the context of offline shopping and business-to-consumer e-commerce, online impulse buying in live streaming has attracted little attention. In this study, we aim to explore the effect of social presence in live streaming on customer impulse buying based on the stimulus–organism–response framework. The research model presented here identifies pleasure and arousal as the mediation of impulse buying in live streaming. We use the AMOST and IBM SPSS PROCESS software to estimate our model based on data at the minute level from 189 customers, who watched live streaming in the past three months. The results suggest that the social presence of the broadcaster and the social presence of the live streamer positively affect impulse buying directly and indirectly via pleasure and arousal, promoting consumer online impulse buying in live streaming, but the social presence of the viewers has no significant effect on pleasure and arousal. For practice, our results can help policymakers and operators of the live streaming platform alleviate impulse buying in the digital world.