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The purpose of this study is to investigate and demonstrate the advancements achieved in the field of chest X-ray image captioning through the utilization of dynamic convolutional encoder–decoder networks (DyCNN). Typical convolutional neural networks (CNNs) are unable to capture both local and global contextual information effectively and apply a uniform operation to all pixels in an image. To address this, we propose an innovative approach that integrates a dynamic convolution operation at the encoder stage, improving image encoding quality and disease detection. In addition, a decoder based on the gated recurrent unit (GRU) is used for language modeling, and an attention network is incorporated to enhance consistency. This novel combination allows for improved feature extraction, mimicking the expertise of radiologists by selectively focusing on important areas and producing coherent captions with valuable clinical information.

In this study, we have presented a new report generation approach that utilizes dynamic convolution applied Resnet-101 (DyCNN) as an encoder (Verelst and Tuytelaars, 2019) and GRU as a decoder (Dey and Salemt, 2017; Pan et al., 2020), along with an attention network (see Figure 1). This integration innovatively extends the capabilities of image encoding and sequential caption generation, representing a shift from conventional CNN architectures. With its ability to dynamically adapt receptive fields, the DyCNN excels at capturing features of varying scales within the CXR images. This dynamic adaptability significantly enhances the granularity of feature extraction, enabling precise representation of localized abnormalities and structural intricacies. By incorporating this flexibility into the encoding process, our model can distil meaningful and contextually rich features from the radiographic data. While the attention mechanism enables the model to selectively focus on different regions of the image during caption generation. The attention mechanism enhances the report generation process by allowing the model to assign different importance weights to different regions of the image, mimicking human perception. In parallel, the GRU-based decoder adds a critical dimension to the process by ensuring a smooth, sequential generation of captions.

The findings of this study highlight the significant advancements achieved in chest X-ray image captioning through the utilization of dynamic convolutional encoder–decoder networks (DyCNN). Experiments conducted using the IU-Chest X-ray datasets showed that the proposed model outperformed other state-of-the-art approaches. The model achieved notable scores, including a BLEU_1 score of 0.591, a BLEU_2 score of 0.347, a BLEU_3 score of 0.277 and a BLEU_4 score of 0.155. These results highlight the efficiency and efficacy of the model in producing precise radiology reports, enhancing image interpretation and clinical decision-making.

This work is the first of its kind, which employs DyCNN as an encoder to extract features from CXR images. In addition, GRU as the decoder for language modeling was utilized and the attention mechanisms into the model architecture were incorporated.

The aim of the current study is to examine the effect of health consciousness, perceived consumer effectiveness and ethical self-identity on customers green purchase intention and actual behavior through an antecedent–focus–outcome relationship in the context of Bangladesh.

For this study, research design was cross sectional and self-administered questionnaire was used for collecting data from the sample respondents. Primary data for this current study were collected from the segment termed as “millennium generation” which consists of young adults between the ages of 18–39 years. Sample technique of this study was judgmental, and a part of non-probability sampling was used for data collection. Statistical tools like SPSS and partial least square (PLS) were employed for the study to examine the impact of the constructs on green purchase intention and behavior.

After analyzing the data, the empirical findings obtained via smart Partial Least Square (PLS) approach confirmed out that all the four factors have significant positive relationship with green purchase intention which is also positively related with actual purchase behavior regarding ecological food products.

The result of the current study provides better understanding and information for the organizations to give more emphasis on the association of health consciousness, ethical self-identity and perceived consumer effectiveness with green purchase intention and actual behavior. The present study will assist as a guide to provide several implications and recommendations to organizations, business owners, academicians and policymakers aiming to encourage green products adoption rate thereby reducing natural degradation and increasing environmental sustainability.

This research establishes the findings that more concentration should be given to enhance ecological consumption and environmental awareness to achieve environmental sustainability and ecological balance in Bangladesh and all other developing countries. The outcomes of the study also contribute to the existing literature by adding new insights to customers' environmental concern and green consumption behavior in the context of Bangladesh.

The purpose of this paper is to optimize the processing conditions of ready-to-eat (RTE) milk “coagulum” rings.

Milk “coagulum” rings were prepared from milk coagulum. Milk at four different level of milk fat (0.1, 1.5, 3 and 4.5 percent) were used to obtain milk coagulum of four different fat level for preparing milk “coagulum” rings. Unripe banana powder (UPB) and banana peel powder (BPP) were incorporated at three different levels separately. The incorporation levels were also optimized to be 11 percent for UPB and 6 percent for BPP on the basis of sensory evaluation.

The yield, ash, moisture and total dietary fiber content of products with optimized level of UPB and BPP were significantly higher as compared to control while the protein and fat contents were lower. Incorporation of extenders resulted in a significant reduction in the color value of the treated products. The water activity was highest for T₂ and lowest for control at the end of 42 days. TBARS as lipid oxidation parameter was highest for control and the microbial count was comparable in T₁ and T₂ where as it was higher in control. The sensory scores of the control was higher than the two treated products during the entire storage period.

The shelf stable RTE milk coagulum-based snack using 1.5 percent fat can provide a nutritious, palatable and healthy product to the consumers.

The purpose of this present study is to analyze the role of consumers' social-psychological attributes, fiscal incentives and socio-demographics in the adoption intention and the willingness to pay more for electric vehicles (EVs).

A cognitive linkage model of “beliefs-intention-willingness” is analyzed using valid responses obtained from Indian consumers. The model is statistically tested at three levels: direct path effect of social-psychological attributes with financial incentives (subjective norm, personal norm, affective attitude, perceived knowledge) on adoption intention and willingness to pay, followed by the mediation of intention and the moderation of socio-demographics.

The findings reveal that the adoption intention and the willingness to pay are directly driven by all analyzed factors except financial incentives, which is not significantly associated with willingness to pay. Moreover, the adoption intention partially mediated the relation between all socio-psychological measures and willingness to pay, whereas full mediation of incentives is supported. Furthermore, the moderating effect of socio-demographics (gender, education, income) supports the integrated research model.

The generalizability of findings may be warranted due to the limited sample territory and the sample's youth. However, young people, or millennials, are more receptive to new technologies such as electric or carbon-free automobiles. The research advocates marketers and manufacturers to craft policy interventions and strategies to upsurge the EV demands in the backdrop of emerging markets.

This timely study adds to the extant literature on green and clean technology automobile adoption by exemplifying the relationship between socio-psychological beliefs, intention and willingness to pay at three dimensions of contextual factors. The current study endeavors to endorse the “beliefs-intention-willingness” cognitive linkage framework in the context of Indian green transportation.

This study aims to examine the influence of environmental knowledge on perceived green benefits and green hotel patronage intention. It also aims to investigate the influence of perceived green benefits on attitude towards green hotel stay and patronage intention.

The purposive sampling method was used in this study. A total of 262 respondents completed the survey questionnaire. For data testing, the partial least squares approach was used.

Environmental knowledge positively influenced the intention to patronise a green hotel and all the perceived green benefits – functional, emotional, social and epistemic benefits. Perceived green benefits did not influence green hotel patronage intention directly, but all the benefits promoted a favourable attitude towards green hotel stay.

Future studies can replicate this study to examine whether consumers in other cities or countries perceive green benefits similarly or differently. The current model can also be used to explore other hospitality and tourism settings.

Green hoteliers should highlight all the four perceived green benefits in their marketing communication materials, especially functional and epistemic benefits that have greater effect on attitude. Green hoteliers can also collaborate with local government, educational institutions and travel agencies to develop pro-environmental materials to increase environmental knowledge of consumers.

Few studies have examined the relationships among environmental knowledge, perceived green benefits with the inclusion of epistemic benefit, attitude and green hotel patronage intention in a single framework.

The case concerns strategy.

This study is applicable to information system, development sector and application of technology in development sector.

Krutika Terracotta Unit is a small unit located in Bhubaneswar, Odisha (India), owned by Mr Tarun Tapan Sahoo. The organization product portfolio varies from decorative statues, pots and vessel to customized products demanded by customers. Organization is also involved in training and renting the products for traditional fairs, marriages and religious ceremony in Bhubaneswar along with order sales. The case attempts to get a close picture of the industry. The exercise of developing the vision, mission, and goals for the organization was carried out and an attempt was made to align the information system with the business objectives even though the organization does not have a very structured organogram. Using BIS will surely reduce manual work and will give qualitative output. There will be lesser hassles in management. The defined and integrated approach will also help in taking strategic decisions well. The objective is to develop and apply well-structured BIS which can be integrated with the existing system so as to develop the terracotta organization in terms of reachability and profit-making with better decision-making capacity.

To learn about the business model of a handicraft marketing organization; to learn about the processes involved in traditional art form of Terracotta; to go through the exercise of creating vision, mission, goals of the organization through mutual discussion and expectation of owner; to determine how BIS helps in achieving higher productivity in Krutika Terracotta Unit; and to get an idea about how NPV calculation and social ROI should be measured for finding feasibility of technology investment.

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This study aims to integrate the perspective of consumer social responsibility with the theory of planned behavior to explore the impact of environmental corporate social responsibility (ECSR) initiatives on intention to buy environmentally friendly products among Vietnamese consumers. Also, the moderating role of gender on the associations of antecedents and green purchase intention is tested in this study.

The data of 823 consumers using the tool of the mall-intercept survey recruited from several big cities in Vietnam. Cronbach’s alpha and confirmatory factor analysis has been used to test the reliability and validity of scales; then, structural equation modeling and PROCESS approach was used to test the fitness of the research model, formulated hypotheses and the indirect associations.

This study presented that ECSR initiatives were strongly and positively correlated with attitude towards green products, subjective norms, perceived behavioral and green purchase intention. Perceived behavioral control was found to be a partial mediator in the link between ECSR initiatives and intention to engage in pro-environmental consumption while the meditating roles of attitude towards green products and subjective norms in this linkage were not statistically significant. Additionally, this study illustrated that the impacts of subjective norms, perceived behavioral control and ECSR initiatives on green purchase intention were stronger for females than males.

This study provides several useful insights for policymakers and administrators to foster pro-environmental behavior of consumers as well as to inspire corporate social responsibility (CSR) activities of firms.

Even though there is a growing interest in investigating the impacts of CSR activities on consumers’ purchase behaviors, there is a lack of studies considering the aspect of consumer social responsibility on their sustainable consumption behavior. There is a need to enrich one’s knowledge about the effect of ECSR initiatives on consumer’ green purchase intention.

Organic food consumption has received great attention due to the increase in consumer environmental and health concerns. This study intends to analyse how customers' green purchasing intentions for organic food are affected by internal factors of attitude and health consciousness and external factors of social norms and environmental concern, as well as how green trust operates as a moderator between green purchase intention and actual purchase.

A quantitative research methodology was employed in this study. The data (n = 323) were gathered via a self-administered questionnaire. The respondents, who were current purchasers of organic food, were chosen through a purposive sampling technique. Data were analysed using exploratory factor analysis and structural equation modelling with the aid of IBM SPSS 25.0 and AMOS 25.

The results reveal that customers' green purchase intention for organic products is positively influenced by internal factors (attitude and health consciousness) and external factors (social norms and environmental concern). This study also shows the moderating effect of green trust on intention and action, demonstrating the necessity of building green trust among customers to diminish green purchasing inconsistency.

The study's results have ramifications for producers of organic goods, merchants and market oversight organizations. Establishing a viable strategy while considering customers' concerns about health and the environment is necessary. The formulated strategy must target specific customer niches, therefore strengthening customers' trust in and understanding of organic food items, which will in turn diminish green purchasing inconsistency in the organic industry.

This study contributes to the existing literature by extending the Theory of Planned Behaviour model to organic food consumption and by visualizing how various factors (internal, external and green trust) affect a consumer's inclination to make organic food purchases. The authors added to the empirical evidence that green trust plays a crucial role in stimulating green buying intentions into behaviour and ultimately diminishing green purchasing inconsistency.

This study aims to examine the factors that influence the increase in purchase intention toward green batik products with religiosity as an intervening variable.

The study used a survey method that involved a sample size of 185 participants selected through purposive and accidental sampling techniques. The analysis was conducted by using IBM SPSS AMOS 21 software. The collected data were subjected to path analysis using multiple linear regression models.

The result indicated that religiosity plays a mediating role in the association between factors and the intention to purchase green product (GPd) of the Indonesian natural dye batik product. This finding is in accordance with the construction of theory of planned behavior in understanding consumer purchase intentions. GPd, green brand and green price exhibited a positive correlation with green purchase intention (GPI). Interestingly, the price was found to no longer serve as the primary factor in GPI.

The analysis would have been more compelling if it had used a mixed-method approach by introducing the variables of customer satisfaction and promotion.

This research postulates that increased prices are no longer a deterrent to the purchase of GPd. Instead, consumer consciousness regarding GPd plays a pivotal role in driving GPI. GPd have revolutionized individuals’ consumption patterns to contribute to environmental preservation. The use of green batik products is seen as advantageous in helping mitigate environmental degradation.

The present research assesses the impact of religiosity, as an intervening variable, on the augmentation of GPI by gauging its significance in enhancing ecological consciousness and moral values.

The purpose of this study is twofold. First, it aims to examine the influence of customers' green considerations in the form of perceived green knowledge and environmental concern on their intention to stay at green hotels; and secondly, to explain the mediating role of green trust among the considered variables.

The study investigates green hotel visit perceptions of 213 customers of hotel industry of Dhaka, Bangladesh using Partial Least Square method. Data was collected using a standard structured questionnaire.

The findings display a significant positive influence of perceived green knowledge and green trust on customers' green hotel visit intention. Moreover, green trust mediates the relationship of green visit intentions with customers' green knowledge and environmental concern.

The study demonstrates that environmental knowledge and green trust make customers choose green hotels. The findings of the current study may assist the hotel business administrators to understand the underlying factors for choosing green hotels and adopting green practices in their business operations accordingly.

To the best knowledge of the researchers, the study is first to measure the mediating impact of green trust on the influential factors of customers' green hotel visit intention in Bangladesh. The result reveals how considered variables interact with each other to influence green hotel choice decisions.