Awareness Information Research Articles

Multi-period ordering decisions in the presence of retail promotions

This paper investigates the impact of retail promotions on inventory decisions in a multi-period ordering setting. A laboratory experiment was designed to examine how awareness of promotional information could improve ordering decisions and reduce supply chain costs. Drawing on data from 140 participants in Australia and Sri Lanka, our study reveals several key findings and practical insights. (i) Awareness of upcoming promotions significantly improves ordering decisions by minimizing ordering costs while maintaining service levels. (ii) Access to detailed promotional information (e.g., the extent of price discounts) does not noticeably improve these decisions. (iii) Transit times serve as a moderating factor; longer transit times can lead to supply line underweighting, thereby escalating ordering costs. (iv) A lack of promotional awareness results in adverse behaviors, including bracing and demand chasing. These findings and practical insights underscore the critical role of timely and effective communication of promotional information in improving multi-period ordering decisions.

Training efficiency as a relationship to self-esteem and information awareness of basketball coaches in Iraq

Training efficiency as a relationship to self-esteem and information awareness of basketball coaches in Iraq

Anti-Hypertension Drugs Classes of Prevention and Side Effects Diseases Efficiency Analysis in Association Rule Mining Techniques

Purpose: The Healthcare department, pharmaceutical department, Hospital and Clinical sector find out and explore the diseases of status, where it has been spreaded the communicable and non-communicable diseases among the society. The healthcare department conducting different awareness of programming about the different diseases how is affected people and how is prevented the diseases in society. Accordingly, all the healthcare awareness of information passed through the different media channel, even though high and low blood pressure is pressing public health challenges and it is recognized as the biggest contributor to the global burden of diseases. Presently people health is silently affected by blood pressure low and high level and they unable to recognize that something is amiss, high blood pressure is known as the "silent killer” and If blood pressure is excessively elevated, it may have an impact on organ damage or health issues like coronary arteries, heart valve dysfunction, diabetes, kidney diseases, heart attack and stroke this all are risk factors of blood pressure abnormal status. Hypertension diseases affected the patients need to the best prevention and feature safety. The Doctors, Pharmacist and Nurse are using Anti - hypertension drugs classes of medicines for patients. Which anti-hypertension drug classes of medicine good efficacy for patients and anti-hypertension drugs classes of medicine prevention diseases, side effects diseases knowledge is important for healthcare professional. Machine learning and Data mining knowledge discovery techniques need to understand how different classes of anti-hypertensive drugs might interact with the patient’s and medications. If the healthcare professional has access to a predictive data mining technique model, they could use this to anticipate how the patient’s condition might change over time and adjust the treatment plan proactively. This kind of analytical data mining knowledge can lead to more effective treatment and better patient outcomes. Design/Methodology/Approach: Developing machine learning concept for different anti-hypertension drugs classes of medicine efficiency analysis in hypertension prevention diseases and side effects diseases and Healthcare professional to take right decision for future adjusts treatment plan to the hypertension affected patients. Findings/Result: Orange data mining analytical tool to identify the anti-hypertension drugs classes of medicines efficacy and Doctors can take right decision to better treatment for the patients. Originality/Value: Data mining association rules of support, confidence and lift correlation analysis system helps to identified about the drug of new knowledge efficiency. Paper Type: Analytical research methods applied for analysis the different types of anti-hypertension drugs classes of association correlation efficacy in data mining machine learning system.

DIGITALLY DRIVEN MODEL OF A CLIMATE-NEUTRAL ECONOMY IN TERMS OF GLOBAL FINANCIAL CAPACITY

The article explores the conditions and drivers for the development of a climate-neutral economy model, emphasizing the pivotal role of digital transformation. A crucial lever in deploying this model is the proactive engagement of international financial entities within the realm of global green financing. The study highlights the instrumental role of green funds as key players in shaping global financial capacity and providing multilateral support for climate change adaptation worldwide. It delves into the overarching frameworks and mechanisms of such assistance. Employing a systematic analysis alongside case studies of the Green Climate Fund's projects, the authors aim to identify the most impactful sectors for cultivating a climate-neutral economy. The research identifies four essential segments for achieving climate neutrality: digitalization for climate, strengthening the financial capacity and business sustainability, rethinking ecosystem development, and community empowerment. The investigation draws on extensive data regarding the execution of 240 climate projects across major beneficiaries of climate finance in Eastern Europe, Africa, the Asia-Pacific, and Latin America. It shows that modern climate finance demonstrates signs of geopolitical dependency and polarization in global influence. The findings argue for bolstering the regional presence of climate funds to increase the financial capacity to implement climate-neutral projects at the local level. The article underscores the scale of financial support required across each segment, as well as the leading role of pre-project preparation. The authors substantiate the overarching and twofold role of digitalization in the model of a climate-neutral economy. The digital transformation produces a whole cluster of independent and versatile IT products for green businesses, industries and governance. On the other hand, digitalization creates an informational environment and a powerful digital infrastructure for better efficacy of other crucial segments. Specifically, it provides digital decisions for financial solvency and sustainability of green businesses in terms of green lending, grants and Fintech; strengthens information awareness and involvement of vulnerable communities in green economy processes; promotes digital support for overall ecosystem adaptation.

Cancer fatalism, social media informational awareness, and education.

Understand if cancer fatalism among adult social media users in the United States is linked to social media informational awareness and if the relationship varies by education level. Cross-sectional data from the 2022 Health Information National Trends Survey (n = 3,948) were analyzed using multivariable linear probability models. The study population was defined as social media users active within the past year. The outcome variable was cancer fatalism and the predictor variables were social media informational awareness and education level. Participants with low social media informational awareness were 9% (95% CI = 3, 15), 6% (95% CI = 1, 11), and 21% (95% CI = 14, 27) percentage points more likely to agree that it seems like everything causes cancer, you cannot lower your chances of getting cancer, and there are too many cancer prevention recommendations to follow, respectively. Participants with a college degree or higher level of education and who reported high social media informational awareness were the least likely to agree that everything causes cancer (60%; 95% CI = 54, 66), you cannot lower your chances of getting cancer (14%; 95% CI = 10, 19), and there are too many cancer prevention recommendations to follow (52%; 95% CI = 46, 59). Social media informational awareness was associated with lower levels of cancer fatalism among adult social media users. College graduates with high social media informational awareness were the least likely to report cancer fatalism.

Специфические вызовы и проблемы семей участников СВО: результаты фокус-групповых дискуссий

The article analyzes the data of focus group discussions with representatives of families of participants of the special military operation, conducted in March 2024. The study examined the issues related to everyday life, information awareness and accessibility barriers, existing support measures. The discussions revealed that the main conflict-causing factor for this group is the manifestation of polarization and negative societal attitudes towards the special military operation and its participants. Representatives of their families often face misunderstanding in the family, among colleagues and acquaintances, sarcastic remarks about payments, as well as indifference of others to their experiences. The author examines the factors of insufficient awareness of prescribed support measures, specific difficulties in obtaining state-mandated benefits and preferences for military families.

Do environmental awareness and food safety information nudges enhance youth’s affinity to safer food consumption? Findings from an experiment in Nepal

PurposeUnsafe food consumption results in adverse health conditions, foodborne illness and undernutrition among households and communities. The consumption of food contaminated with harmful microorganisms or with harmful pesticide residuals results in adverse health conditions and undernutrition. However, there are a number of challenges to maintaining food safety in the food systems of developing countries, like Nepal, where awareness of food safety is low and research on these issues is lacking.Design/methodology/approachWe conducted an experiment among youth aged between 20 and 26 years in Nepal to assess their food safety awareness and affinity to safer fresh produce choices. In the classroom setting experimentations with and without information nudges conducted among 224 youth participants, participants chose one fresh produce packet among the four. We analyzed results using multinomial and mixed logit models appropriate for discrete choice modeling.FindingsWe found that the youth’s perceived higher importance of sustainable food systems and their knowledge levels on microbial contamination and foodborne illnesses play significantly positive roles. The likelihood of choosing microbial safety-labeled fresh produce or both microbial- and chemical safety-labeled fresh produce increased with nudging among those who have some knowledge of microbial contamination and foodborne illnesses – we found that the interaction of nudging and level of knowledge is significantly positive. Youth belonging to higher income classes do not necessarily have a higher affinity to safer fresh produce but with nudging, the higher income class youth have a higher likelihood of choosing safer fresh produce choices.Research limitations/implicationsYouth engagement and their awareness of food safety could be one of the important strategies to potentially develop them as effective promoters, adopters and educators in enhancing food safety in food systems in Nepal. Our predicted premium for food safety attributes points to the potential scope for the emerging market segment or business opportunities augmenting food safety in Nepal.Originality/valueWe examined the factors influencing the safer fresh produce choices among youth in Nepal. We tested whether awareness levels of microbial contamination and foodborne illness and information nudging affect the likelihood of safer fresh produce choice. Then we predicted the willingness to pay (premium) for safety attributes. To the best of our knowledge, none of the previous studies have examined this aspect in Nepal.

Supporting Mixed-Presence Awareness across Wall-Sized Displays Using a Tracking Pipeline based on Depth Cameras

One of the main benefits of large interactive surfaces (e.g. wall-sized displays) lies in their support for collocated collaboration by facilitating simultaneous interactions with the displays and high awareness of other group members' actions. In the context of remote collaboration, this awareness information needs to be acquired through digital means such as video feeds, which typically offer very limited information on non-verbal communication aspects, including on workspace awareness. We describe a new approach we have implemented to tackle that challenge through a multimodal pipeline that deals with tracking, attributing, transmitting, and visualising non-verbal information through what we refer to as workspace awareness cues, across wall-sized displays placed at distant locations. Our approach relies on commodity depth cameras combined with screen configuration information to generate deictic cues such as pointing targets and gaze direction. It also leverages recent artificial intelligence breakthroughs to attribute such cues to identified individuals and augment them with additional gestural interactions. In the present paper, we expand on the details and rationale behind our approach, describe its technical implementation, validate its novelty with regards to the existing literature, and report on early but promising results from an evaluation we conducted based on a mixed-presence decision-making scenario across two distant wall-sized displays.

Beliefs, screening attitudes and breast cancer awareness of young women with neurofibromatosis type 1: A reflexive thematic analysis

Neurofibromatosis type 1 (NF1) predisposes individuals to benign and malignant tumours. Young women with NF1 (<50 years) have an up to five-fold increased risk of breast cancer. The UK adopts moderate cancer risk guidelines of NICE, advising women with NF1 to attend breast screening from 40 years. Previous results from a systematic review and meta-analysis found that breast cancer in this cohort predominantly occurs from 34 to 44 years. Without earlier screening, breast awareness is fundamental. Reflexive thematic analysis and semi-structured interview questions based on the health belief model explored whether a tailor-made breast cancer awareness intervention would be beneficial by examining beliefs, screening attitudes and breast cancer awareness of young women with NF1. Findings suggest the establishment of accessible and accurate NF1 and breast awareness information, development and implementation of a breast awareness intervention for young women with NF1, and healthcare professionals.

A Construction of Evaluation Index Model for the Sustainable Development of Volleyball in University, Shaanxi Province, the People’s Republic of China

Background and Aim: Volleyball is an important part of university sports. Regular participation in volleyball cannot only cultivate people's good sportsmanship, team spirit of unity and cooperation, and excellent qualities of tenacious struggle but also cultivate people's information awareness and improve coordination and adaptability. This research was to construct the evaluation index model for the sustainable development of volleyball in university, Shaanxi Province, the People’s Republic of China. Materials and Methods: This research is mixed methods research type. The participants in this research can be divided into four groups, which are as follows: (1) 370 students and 10 teachers from 3 universities in Shaanxi China were chosen to engage in responding to the questionnaires; (2) 7 experts were invited to in-depth interview; (3) 19 experts were invited to conduct two-round Delphi study; and (4) 9 experts were invited to discuss and confirm the constructed evaluation index model for the sustainable development of volleyball in university, Shaanxi Province, the People’s Republic of China. The average and standard deviation are utilized to analyze the data obtained from the questionnaire, the consensus data is analyzed by using the median and interquartile range, with criteria set at a median of ≥ 3.50 and an interquartile range of ≤ 1.50. Results: the model of evaluation index for volleyball sustainable development in University, Shaanxi China consists of the 4 first-level indicators classified by the theory of sustainable development, namely (A) survival support subsystem; (B) development motivation support subsystem; (C) social security support subsystem; and (D) intellectual Support Subsystem, 12 second-level indicators and 33 third-level indicators. Conclusion: the evaluation index model for the sustainable development of volleyball in university, Shaanxi Province, the People’s Republic of China consists of the 4 first-level indicators classified by the theory of sustainable development,12 second-level indicators, and 33 third-level indicators. The content and application of this model have been evaluated and confirmed by 9 experts.

Could social media be a game-changer in improving agricultural extension delivery in Ghana?

In this study, we set out to investigate the transforming power of social media for agricultural extension delivery services in Ghana. We employed a quantitative research approach and drew insights from 374 farmers. We used descriptive and inferential statistics to analyse the data. Cocoa farmers have some level of awareness of agricultural information on social media (Overall Mean = 1.88). Farmers regard social media platforms as potential sources of agricultural information (Perception Index = 3.38). Majority of farmers own smartphones (53.74 %) and have internet access (53.74 %). About 31.86 % of farmers spend 30 min to 1 h daily time browsing social media for agricultural information. About 57.65 % use social media for accessing agricultural information and implementing farming practices. According to 89.38 % of farmers, social media information helps to improve crop yield and pest management. The main constraint facing farmers in the use of social media is high data costs (Mean = 7.30). We recommend that the government in collaboration with telecommunication companies should explore innovative pricing models to reduce the cost barrier for farmers accessing agricultural content online.

The Effects of Group Awareness Information on Collaborative Learning

The Effects of Group Awareness Information on Collaborative Learning

Research Hotspots and Reflections on Student Information Awareness Literacy in the Past Decade

In the context of the digital transformation of education, the cultivation of students' information technology ability and literacy has become a key topic of attention in educational reform. Information awareness requires students to have a certain ability to obtain information and information resolution, which is a necessary key ability for students in the "Internet plus" era. In order to explore the current development status of information awareness literacy in China and grasp its future development trends, the scientific knowledge graph analysis method was adopted to sort out the research results of Chinese researchers in the field of student information awareness literacy in the past decade. Through visual analysis and literature reading, it was found that research on information awareness literacy focuses on the cultivation of core literacy and the study of cultivation strategies, and there is relatively little research on its own. The demand for student information sensitivity and resolution will become increasingly high in the future, so research on information awareness literacy should receive more attention from people.

External and internal sources of cognitive group awareness information: Effects on perception and usage

Group selection or group formation is an important but difficult task in learning groups. Group awareness tools collect, transform, and present group awareness information to provide learners, but also teachers with relevant information e.g., about potential learning partners. For these educational tools, the value and usage of the provided information may depend on how it is gathered and where it ultimately comes from. In our study (N = 150), we thus investigate how information from different sources is perceived and ranked. In the study, information about the skills of an anonymous person in a profile was either provided by external sources (teacher assessment, knowledge test result) or internal sources (self-assessment). Results show that information from external sources is perceived as more credible and weighted higher than internal self-assessed information. No difference between information from external personal teacher assessments and external non-personal knowledge tests was found. Hence, it is worth exploring possible effects of other external ratings than teacher assessments to see if these insights are transferable to other contexts.

Analysing Visual Information (Colour, Symbol) of Waste Recycling Through the Principles of Gestalt Theory: Closure, Similarity and Continuation

This study provides an insight into the visual information (colours, symbols) of waste classification based on the three principles of closure, similarity and continuation of Gestalt theory. A field survey of Xiamen University Town in China and a survey of 1,000 local and international university students in the area were used to understand the level of awareness of visual information on waste recycling and segregation. The study found that the current level of awareness of visual classification information (colours, symbols) in the Xiamen University Town urban area and among students is low. Visual messages must convey accurate and standardised information such as colours and symbols. In addition, the purpose of this study was to illustrate the need for accuracy in visual information. This study concludes the need for uniform colour and symbol standards for waste recycling and segregation under the Gestalt theory to help achieve SDG goal 12, responsible consumption and production, as this study highlights the potential ripple effect on future stakeholders, especially considering the international mobility of university students, who epitomise global diversity. As users travelled across countries, ambiguous visual messages about waste classification became a key issue in responding to UN advocacy for a sustainable future. Addressing and correcting these visual discrepancies is critical to effective waste management strategies on a global scale.

The study of the level of awareness of pharmacists on vaccination against human papillomavirus and the role of pharmacists in the prevention of cervical cancer

The study of the level of awareness of pharmacists on vaccination against human papillomavirus and the role of pharmacists in the prevention of cervical cancer

From Fog to Smog: The Value of Pollution Information

In 2013, China launched a landmark program to monitor air quality and disclose real-time data, significantly increasing the public’s access to and awareness of pollution information. The program triggered cascading behavioral changes such as stronger avoidance of outdoor pollution exposure and increased spending on protective products. These behavioral responses mitigated the mortality impact of air pollution. Conservative estimates indicate that the program’s health benefits outweigh the costs by an order of magnitude. The findings highlight the benefits of improving public access to pollution information in developing countries which often experience severe air pollution but lack pollution data collection and dissemination. (JEL D83, D91, I12, O13, P28, Q51, Q53)

WITHDRAWN: FCDNet: Frequency-guided complementary dependency modeling for multivariate time-series forecasting

Multivariate time-series (MTS) forecasting is a challenging task in many real-world non-stationary dynamic scenarios. In addition to intra-series temporal signals, the inter-series dependency also plays a crucial role in shaping future trends. How to enable the model’s awareness of dependency information has raised substantial research attention. Previous approaches have either presupposed dependency constraints based on domain knowledge or imposed them using real-time feature similarity. However, MTS data often exhibit both enduring long-term stable relationships and transient short-term interactions, which mutually influence their evolving states. It is necessary to recognize and incorporate the complementary dependencies for more accurate MTS forecasting. The frequency information in time series reflects the evolutionary rules behind complex temporal dynamics, and different frequency components can be used to well construct interactive dependency structures with varying states between variables. To this end, we propose FCDNet, a concise yet effective complementary dependency modeling framework for multivariate time-series forecasting. Specifically, FCDNet overcomes the above limitations by applying two lightweight dependency constructors to help extract stable static and dynamic varying dependency information adaptively from long short-term multi-level frequency patterns. With the growth of input variables, the number of trainable parameters in FCDNet only increases linearly, which is conducive to the model’s scalability and avoids over-fitting. Additionally, adopting a frequency-based perspective can effectively mitigate the influence of noise within MTS data, which helps capture more genuine dependencies. The experimental results on six real-world datasets from multiple fields show that FCDNet significantly exceeds strong baselines, with an average improvement of 6.82% on MAE, 4.98% on RMSE, and 4.91% on MAPE. In addition, the ability of FCDNet to jointly learn high-quality static and dynamic graph structures is demonstrated empirically. Our source codes are publicly available at https://github.com/onceCWJ/FCDNet.

MusiKeys: Exploring Haptic-to-Auditory Sensory Substitution to Improve Mid-Air Text-Entry.

Physical QWERTY keyboards are the current standard for performing precision text-entry with extended reality devices. Ideally, there would exist a comparable, self-contained solution that works anywhere, without requiring external keyboards. Unfortunately, when physical keyboards are recreated virtually, we currently lose critical haptic feedback information from the sense of touch, which impedes typing. In this paper, we introduce the MusiKeys Technique, which uses auditory feedback in virtual reality to communicate missing haptic feedback information typists normally receive when using a physical keyboard. To examine this concept, we conducted a user study with 24 participants which encompassed four mid-air virtual keyboards augmented with increasing amounts of feedback information, along with a fifth physical keyboard for reference. Results suggest that providing clicking feedback on key-press and key-release improves typing performance compared to not providing auditory feedback, which is consistent with the literature. We also found that audio can serve as a substitute for information contained in haptic feedback, in that users can accurately perceive the presented information. However, under our specific study conditions, this awareness of the feedback information did not yield significant differences in typing performance. Our results suggest this kind of feedback replacement can be perceived by users but needs more research to tune and improve the specific techniques.

AWARENESS AND KNOWLEDGE TOWARDS COMMON EYE DISEASES OF CITIZENS IN MEDINA CITY, SAUDI ARABIA

Objective: The study aimed to assess the extent of knowledge regarding common eye diseases namely cataracts, diabetic retinopathy, glaucoma, refractive errors, and eye traumas among citizens of Medina City, Saudi Arabia. Subjects and Methods: A total of 288 citizens (≥18 years old) of Medina city were selected and asked to answer online questionnaires regarding their knowledge on common eye diseases. The questionnaire includes demographics, awareness, and source of information of eye diseases. Results: Overall, the 283 participants have obtained a good mean general knowledge on cataract, strabismus, and refractive error, while nearly intermediate mean general knowledge about diabetic retinopathy and glaucoma. Knowledge scores of the participants were found to be highest for cataract (64.25±27.6), while lowest for glaucoma (47.76±34.3). The common source of information regarding eye disease were their family members and friends (33.3%, n=96). In term of socio-demographic factors, male gender was found to be the common factor that significantly influence the awareness of participants towards cataract, retinopathy, glaucoma, and refractive errors, while presence of eye problem was observed to significantly influence the knowledge of respondents towards retinopathy, glaucoma, and strabismus. Conclusion: This study concludes that proper and extended awareness and knowledge, such as creating health programs and effective health education, towards eye diseases must be imposed to help mitigate the cases of eye health diseases.