Green Brands and the Consumer Purchasing Intention Based on the example of the Body Shop in Taiwan

In recent decades, people’s life styles have significantly changed in comparison to what they used to be. Due to global warming and climate change, people are becoming more and more aware of environmental issues. This individual awareness has extended to impact the business world. Firms are increasingly paying more attention to the issues of social responsibility, and as part of this are trying to build a “green brand”. Therefore, this research will firstly attempt to clarify the relationship between a green brand and consumer behaviour. Secondly, it will discuss the kinds of situation that have the potential to influence consumers’ selection and purchase of a brand with green concepts. This dissertation will then examine a selection of consumer behaviour theories that assist in explaining consumer purchasing behaviour, in relation to green brands. Finally, this thesis will make practical suggestions and recommendations on how companies can implement green branding. In order to complete this research, a quantitative research methodology was adopted, and a questionnaire was developed. The questionnaire results are expected to clarify the relationship between green brand and purchasing intention. Close-ended questions were used to obtain more accurate answers, alongside a Likert-style rating scale with six scales to provide greater stability and to assist in guarding against uncertain answers from respondents. After collecting data from consumers via the specifically developed questionnaire, which was available on the web, this study utilises Statistical Products and Services Solution (SPSS v. 16.0) software to analyse the data. The results gained from the data analysis process provide the foundation for the central argument discussed in this dissertation and the recommendations made for future implementations and research

Green Brands and the Consumer Purchasing Intention Based on the example of the Body Shop in Taiwan

In recent decades, people’s life styles have significantly changed in comparison to what they used to be. Due to global warming and climate change, people are becoming more and more aware of environmental issues. This individual awareness has extended to impact the business world. Firms are increasingly paying more attention to the issues of social responsibility, and as part of this are trying to build a “green brand”. Therefore, this research will firstly attempt to clarify the relationship between a green brand and consumer behaviour. Secondly, it will discuss the kinds of situation that have the potential to influence consumers’ selection and purchase of a brand with green concepts. This dissertation will then examine a selection of consumer behaviour theories that assist in explaining consumer purchasing behaviour, in relation to green brands. Finally, this thesis will make practical suggestions and recommendations on how companies can implement green branding. In order to complete this research, a quantitative research methodology was adopted, and a questionnaire was developed. The questionnaire results are expected to clarify the relationship between green brand and purchasing intention. Close-ended questions were used to obtain more accurate answers, alongside a Likert-style rating scale with six scales to provide greater stability and to assist in guarding against uncertain answers from respondents. After collecting data from consumers via the specifically developed questionnaire, which was available on the web, this study utilises Statistical Products and Services Solution (SPSS v. 16.0) software to analyse the data. The results gained from the data analysis process provide the foundation for the central argument discussed in this dissertation and the recommendations made for future implementations and research

Measuring Ultrasonic and Electrical Properties of Early-Age Cemented Tailings Backfill

The setting behavior strongly affects the workability and loading capacity of a fresh cemented tailings backfill (CTB). The Vicat test is a conventional way to measure the setting time of a fresh cementitious mixture, using a standard needle to detect penetration resistance. However, this method is limited to laboratory testing, it is difficult to carry out in underground closed stopes. In this study, two nondestructive methods, the ultrasonic pulse and electrical conductivity tests, contrasting two traditional methods, hydration heat measurement and the Vicat test, are used to illustrate the setting process of early-age CTB. The effect of cement content (e.g., 2.5%, 5% and 7.5%) and tailings type (silica tailings and iron mine tailings) on the hydration heat of early-age CTB are recorded as well. The results show that, as the CTBs change from solid–liquid mixtures to solids, the ultrasonic pulse frequency converts from low to high and the electrical conductivity turns from growth to decline. As the degree of hydration increases, the solid connections continuously increase, which increases the ultrasonic amplitude rapidly and decreases electrical conductivity. The TG value can be effectively used to predict the initial set time of cemented silica tailings backfill. For cemented iron tailings backfill, although the solid phase ultrasonic path is formed, more hydration products are needed to reach the specific shear stiffness, meaning the initial set lags behind the change in ultrasonic frequency signal

Measuring Ultrasonic and Electrical Properties of Early-Age Cemented Tailings Backfill

The setting behavior strongly affects the workability and loading capacity of a fresh cemented tailings backfill (CTB). The Vicat test is a conventional way to measure the setting time of a fresh cementitious mixture, using a standard needle to detect penetration resistance. However, this method is limited to laboratory testing, it is difficult to carry out in underground closed stopes. In this study, two nondestructive methods, the ultrasonic pulse and electrical conductivity tests, contrasting two traditional methods, hydration heat measurement and the Vicat test, are used to illustrate the setting process of early-age CTB. The effect of cement content (e.g., 2.5%, 5% and 7.5%) and tailings type (silica tailings and iron mine tailings) on the hydration heat of early-age CTB are recorded as well. The results show that, as the CTBs change from solid–liquid mixtures to solids, the ultrasonic pulse frequency converts from low to high and the electrical conductivity turns from growth to decline. As the degree of hydration increases, the solid connections continuously increase, which increases the ultrasonic amplitude rapidly and decreases electrical conductivity. The TG value can be effectively used to predict the initial set time of cemented silica tailings backfill. For cemented iron tailings backfill, although the solid phase ultrasonic path is formed, more hydration products are needed to reach the specific shear stiffness, meaning the initial set lags behind the change in ultrasonic frequency signal

Comparison of waxy and normal potato starch remaining granules after chemical surface gelatinization: Pasting behavior and surface morphology

o understand the contribution of granule inner portion to the pasting property of starch, waxy potato starch and two normal potato starches and their acetylated starch samples were subjected to chemical surface gelatinization by 3.8 mol/L CaCl2 to obtain remaining granules. Native and acetylated, original and remaining granules of waxy potato starch had similar rapid visco analyzer (RVA) pasting profiles, while those of two normal potato starches behaved obviously different from each other. All remaining granules had lower peak viscosity than the corresponding original granules. Contribution of waxy potato starch granule's inner portion to the peak viscosity was significant more than those of normal potato starches. The shell structure appearing on the remaining granule surface for waxy potato starch was smoother and thinner than that for normal potato starches as observed by scanning electron microscopy, indicating a more regular structure of shell and a more ordered packing of shell for waxy potato starch granules. The blocklet size of waxy potato starch was smaller and more uniform than those of normal potato starches as shown by atomic force microscopy images of original and remaining granules. In general, our results provided the evidence for the spatial structure diversity between waxy and normal potato starch granules: outer layer and inner portion of waxy potato starch granule had similar structure, while outer layer had notably different structure from inner portion for normal potato starch granule

Inverse Association of Plasma Vanadium Concentrations with Gestational Diabetes Mellitus

Vanadium compounds were identified to be beneficial for the control of glucose homeostasis. We aimed to explore the association of plasma vanadium (V) with gestational diabetes mellitus (GDM). We performed a case-control study including 252 newly diagnosed GDM cases and 252 controls matched by age, parity, and gestational age. Fasting blood samples were collected from each participant at GDM screening (≥24 weeks of gestation). The plasma concentrations of V were determined utilizing inductively coupled plasma mass spectrometry. Plasma V levels were significantly lower in the GDM group than those in the control group (p p p < 0.05). The present study indicates an inverse association of plasma V with GDM. Further prospective cohort studies are required to validate our results

AVMSN: An Audio-Visual Two Stream Crowd Counting Framework Under Low-Quality Conditions

Crowd counting is considered as the essential computer vision application that uses the convolutional neural network to model the crowd density as the regression task. However, the vision-based models are hard to extract the feature under low-quality conditions. As we know, visual and audio are used widely as media platforms for human beings to touch the physical change of the world. The cross-modal information gives us an alternative method of solving the crowd counting task. In this case, in order to solve this problem, a model named the Audio-Visual Multi-Scale Network (AVMSN) is established to model the unconstrained visual and audio sources for completing the crowd counting task in this paper. Based on the Feature extraction and Multi-modal fusion module, in order to handle the objects of various sizes in the crowd scene, the Sample Convolutional Blocks are adopted by the AVMSN as the multi-scale Vision-end branch in the Feature extraction module to calculate the weighted-visual feature. Besides, the audio, which is the temporal domain transformed into the spectrogram information and the audio feature is learned by the audio-VGG network. Finally, the weighted-visual and audio features are fused by the Multi-modal fusion module, which adopts the cascade fusion architecture to calculate the estimated density map. The experimental results show the proposed AVMSN achieves a lower mean absolute error than other state-of-art crowd counting models under the low-quality conditions

A Comprehensive Study of Degradation Characteristics and Mechanisms of Commercial Li(NiMnCo)O₂ EV Batteries under Vehicle-To-Grid (V2G) Services

Lithium-ion batteries on electric vehicles have been increasingly deployed for the enhancement of grid reliability and integration of renewable energy, while users are concerned about extra battery degradation caused by vehicle-to-grid (V2G) operations. This paper details a multi-year cycling study of commercial 24 Ah pouch batteries with Li(NiMnCo)O2 (NCM) cathode, varying the average state of charge (SOC), depth of discharge (DOD), and charging rate by 33 groups of experiment matrix. Based on the reduced freedom voltage parameter reconstruction (RF-VPR), a more efficient non-intrusive diagnosis is combined with incremental capacity (IC) analysis to evaluate the aging mechanisms including loss of lithium-ion inventory and loss of active material on the cathode and anode. By analyzing the evolution of indicator parameters and the cumulative degradation function (CDF) of the battery capacity, a non-linear degradation model with calendar and cyclic aging is established to evaluate the battery aging cost under different unmanaged charging (V0G) and V2G scenarios. The result shows that, although the extra energy throughput would cause cyclic degradation, discharging from SOC 90 to 65% by V2G will surprisingly alleviate the battery decaying by 0.95% compared to the EV charged within 90–100% SOC, due to the improvement of calendar life. By optimal charging strategies, the connection to the smart grid can potentially extend the EV battery life beyond the scenarios without V2G

Phosphorylation of AQP4 by LRRK2 R1441G impairs glymphatic clearance of IFNγ and aggravates dopaminergic neurodegeneration

Abstract Aquaporin-4 (AQP4) is essential for normal functioning of the brain’s glymphatic system. Impaired glymphatic function is associated with neuroinflammation. Recent clinical evidence suggests the involvement of glymphatic dysfunction in LRRK2-associated Parkinson’s disease (PD); however, the precise mechanism remains unclear. The pro-inflammatory cytokine interferon (IFN) γ interacts with LRRK2 to induce neuroinflammation. Therefore, we examined the AQP4-dependent glymphatic system’s role in IFNγ-mediated neuroinflammation in LRRK2-associated PD. We found that LRRK2 interacts with and phosphorylates AQP4 in vitro and in vivo. AQP4 phosphorylation by LRRK2 R1441G induced AQP4 depolarization and disrupted glymphatic IFNγ clearance. Exogeneous IFNγ significantly increased astrocyte expression of IFNγ receptor, amplified AQP4 depolarization, and exacerbated neuroinflammation in R1441G transgenic mice. Conversely, inhibiting LRRK2 restored AQP4 polarity, improved glymphatic function, and reduced IFNγ-mediated neuroinflammation and dopaminergic neurodegeneration. Our findings establish a link between LRRK2-mediated AQP4 phosphorylation and IFNγ-mediated neuroinflammation in LRRK2-associated PD, guiding the development of LRRK2 targeting therapy