Research Study Research Articles

Prevalence and factors associated with excessive daytime sleepiness among Malaysian medical students

The purpose of our study was to ascertain the frequency of excessive daytime sleepiness (EDS) amongst medical students as well as the contributing variables. In Kelantan, Malaysia, at the School of Medical Sciences of Universiti Sains Malaysia, a cross-sectional research study was carried out. The Epworth drowsiness scale was used to gauge the degree of daytime drowsiness, and the depression, anxiety, and stress scale was used to gauge the degree of depression, anxiety, and stress. The related factors of EDS were analyzed using ordinal logistic regression. 311 individuals, or 84.5% of the total, submitted the questionnaire out of 368. 42.7% of people had EDS (95% CI: 0.52, 0.70). The associated factors of EDS included year of study (adjusted odds ratio [AOR]=0.55 [95% confidence interval [CI]: 0.33, 0.91]), race (Chinese) (AOR=0.58 [95% CI: 0.32, 0.97]), anxiety level (mild) (AOR=2.68 [95% CI: 1.26, 5.68]), anxiety level (moderate) (AOR=3.70 [95% CI: 1.76, 7.75]), anxiety level (severe) (AOR=4.76 [95% CI: 1.06, 21.42]), stress level (mild) (AOR=3.37 [95% CI: 1.47, 7.30]) and stress level (moderate) (AOR=5.42 [95% CI: 2.05, 14.35]). As for conclusion, associated factors such as year of study, race, anxiety and stress level were significantly found to be associated with EDS among medical students.<b> </b>

Requesting mental illness workplace accommodations: the roles of perceived need and stigma

PurposeResearch related to workplace accommodation requests for employees with mental illness is scarce, though evidence suggests that these individuals often fail to request accommodations even when needed. The authors' research study aimed to address these shortcomings by (1) assessing employees' knowledge of Americans with Disabilities Act (ADA) laws and how this knowledge influences employees' perceived need for and requests of accommodations; (2) examining the relationship between employees' perceived need for accommodations and employees' workplace outcomes and (3) examining the relationship between perceived need for accommodations and employees' actual accommodation requests, as well as how stigma influences this relationship.Design/methodology/approachThe authors used two survey studies to investigate their research questions. Study 1 participants were recruited through Amazon's MTurk, and Study 2 participants were recruited through support groups for individuals diagnosed with mood disorders (i.e. depression and bipolar disorder).FindingsThe authors found significant gaps in both subjective and objective ADA-related knowledge among participants in their sample. The authors' Study 1 results also revealed an interaction between the perceived need for accommodations and accommodation requests in predicting job satisfaction and turnover intentions. When employees needed accommodations but did not request them, it resulted in worsened workplace outcomes. In Study 2, the authors aimed to identify barriers to requesting accommodations. The authors found that the relationship between perceived need for accommodations and actual accommodation requests was moderated by both public and self-stigma, thereby showing that stigma can impede individuals from requesting needed accommodations at work.Originality/valueThe authors' study sheds light on a population that has been relatively understudied in the workplace accommodations literature, namely those with mental illness. The authors first identify the perceived need for accommodations as an important factor in making accommodations requests at work, as prior work has failed to differentiate how the need for accommodations can vary across individuals. Next, the authors show how workplace outcomes (i.e. job satisfaction and turnover intentions) are negatively affected when employees need accommodations but do not request them. Finally, the authors demonstrate how both public stigma and self-stigma can reduce the likelihood that individuals request accommodations at work, even when needed.

LoRa Technology Propagation Models for IoT Network Planning in the Amazon Regions.

Designing and deploying telecommunications and broadcasting networks in the challenging terrain of the Amazon region pose significant obstacles due to its unique morphological characteristics. Within low-power wide-area networks (LPWANs), this research study introduces a comprehensive approach to modeling large-scale propagation loss channels specific to the LoRaWAN protocol operating at 915 MHz. The objective of this study is to facilitate the planning of Internet of Things (IoT) networks in riverside communities while accounting for the mobility of end nodes. We conducted extensive measurement campaigns along the banks of Universidade Federal do Pará, capturing received signal strength indication (RSSI), signal-to-noise ratio (SNR), and geolocated point data across various spreading factors. We fitted the empirical close-in (CI) and floating intercept (FI) propagation models for uplink path loss prediction and compared them with the Okumura-Hata model. We also present a new model for path loss with dense vegetation. Furthermore, we calculated received packet rate statistics between communication links to assess channel quality for the LoRa physical layer (PHY). Remarkably, both CI and FI models exhibited similar behaviors, with the newly proposed model demonstrating enhanced accuracy in estimating radio loss within densely vegetated scenarios, boasting lower root mean square error (RMSE) values than the Okumura-Hata model, particularly for spreading factor 9 (SF9). The radius coverage threshold, accounting for node mobility, was 945 m. This comprehensive analysis contributes valuable insights for the effective deployment and optimization of LoRa-based IoT networks in the intricate environmental conditions of the Amazon region.

The role of metaverse and blockchain in enhancing digital Islamic finance: empirical perspective

Purpose This study aims to investigate the connections between the adoption of technology, user experience (UX), financial transparency and accountability, specifically focusing on the moderating influence of cultural sensitivity in the Jordanian context. Design/methodology/approach This study gathered data from 272 participants who are working in the operational Islamic banks in Jordan. Partial least squares structural equation modeling (PLS-SEM) is used for the hypotheses testing. Findings The results indicate that cultural sensitivity plays a significant role in shaping the UX, consequently influencing perceptions of financial transparency and accountability in e-Islamic finance within the metaverse. This study underscores the intricate interplay between technological advancements, adherence to Sharia principles and diverse cultural expectations, forming the crux of the research. Originality/value This research brings a novel perspective by examining the complex connections among technology adoption, UX, financial transparency and accountability, specifically within the distinctive context of Jordan. This research study innovates by checking out how social sensitivity moderates these partnerships, specifically in the context of e-Islamic finance in the metaverse. It adds value to the academic area by shedding light on the intricate interaction between technological development, adherence to Sharia concepts and differing cultural expectations. Ultimately, this adds to a much deeper understanding of the multifaceted nature of this domain.

Implementation of Digital Faculty Portfolio in Medical College Using an Intervention Mapping Approach.

The Digital faculty portfolio (DFP) is a well-established Teaching Portfolio, a tool that combines student evaluations with teaching materials, narrative reflections, and evidence of pedagogical effectiveness. The research aimed to test the DFP concept and determine whether faculty find it useful for integrating faculty activities, including teaching and extracurricular activities. Thus, the main aim is to identify key technical details that must be addressed before creating a larger DFP platform. This research study adopted a six-step theory- and evidence-based approach of an Intervention Mapping (IM) protocol to assess the need for a DFP-like program at the College of Medicine, King Saud Abdulaziz University for Health Sciences and the efficacy of the pilot DFP program. The study was done in three steps: 1) Evaluation of educational needs; 2) Design of the "DFP" program; and 3) Validation and refinement of the designed program. The college conducted the needs assessment using a validated survey with full-time faculty members. Eighty-two survey participants comprised the sample. We described to them the DFP implementation procedure, design, and advantages. The DFP is valuable to most users (60%) and has inherent benefits that boost professional competency (80%). Nearly 73% were willing to keep using and/or updating their DFP periodically. The created program was validated by sharing the findings with designated specialists in health professions education. Based on their comments, the program was further refined and ready for piloting. To maximize the potential of the platform's success, its capabilities should be consistently enhanced in addition to resolving technical issues. This program has managed to effectively identify new avenues for working on enhancing methods for effective communication, coordination and enhance the scope of evaluation process.

Diversity, Equity, and Inclusion in Patient and Family Advisory Councils: Advancing Best Practice in Children's Hospitals

This qualitative research study explored practices that support and advance diverse membership in Patient and Family Advisory Councils (PFACs) in children's hospitals and the involvement of PFACs in organization-level diversity, equity, and inclusion work. This study consisted of a focused literature review and 17 key informant interviews. The study sought to identify important learnings about (1) recruiting and supporting patient and family advisors (PFAs) from historically marginalized populations and (2) ways to develop and sustain meaningful partnerships with PFAs and PFACs in diversity, equity, and inclusion work. The study findings highlighted a number of best practices for hospitals to adopt, including more actively reaching out to communities served, addressing barriers to participation through approaches and structures such as specialty PFACs and "tiered" options for participation by PFAs, and co-creation of inclusive environments. To move forward with this work, additional research, true commitment from health care organizations, and shared guidance and tools for the field are needed.

Physician factors affecting patient preferences in selecting a primary care provider: A qualitative research study in Singapore.

Care continuity by a dedicated, well-trained primary care physician (PCP) has shown to improve health outcomes of patients with non-communicable diseases (NCDs). In Singapore's fee-for-service primary care system, patients can choose to consult any PCP in either a public (polyclinic), private (General Practitioners/ GP), or both types of clinics, resulting in potential fragmented care. Decision-making by patients in selecting their preferred PCP remains unclear. This study aims to explore the personal factors influencing the choice of PCP among patients with NCDs in primary care. This qualitative research study was conducted in a typical polyclinic. In-depth interviews were conducted on patients with NCDs. Purposive sampling was implemented to enrol patients who had previously consulted PCPs in polyclinics and GP clinics, garnering their perspectives and experiences of care received from both providers. Interviews were audio-recorded, transcribed, and audited. Data was coded and analysed using thematic content analysis to identify emerging themes. The physician-specific factors which influence patients' decision-making of PCP selection are presented here. Twenty-one Asian patients aged 38 to 82 years were interviewed. They preferred PCPs with an approachable and genuine demeanour, exhibiting empathy and compassion. They valued the PCPs' verbal, non-verbal and listening skills. Regarding professional qualities, patients wanted PCPs to demonstrate competency and a patient-centred care approach. Some selected their PCP based on compatible age and gender that they felt comfortable with. Establishing good rapport with their PCP and maintaining continuity of care were deemed as major factors in patients' PCP selection. Patients tended to select PCPs based on their personal characteristics, interpersonal skills, professional attributes, demographics, and the physician-patient relationship. PCPs should be aware of these attributes and demonstrate them during their patient interaction. Leveraging on this enables PCPs to build rapport with their patients and maintain care continuity to optimize their health outcomes.

DSRO based data annotation with improved EfficientNet for forest fire detection using image processing in IoT environment

<p>The increasing risk of forest fires demands sophisticated detection systems in order to mitigate the environment effectively. The technology under consideration enhances real-time monitoring and reaction by functioning inside an Internet of Things (IoT) architecture. Even though Artificial Intelligence (AI) algorithms have improved fire detection systems, they are quite expensive and energy-intensive due to their high computing needs. With the use of creative methods for data augmentation and optimization as well as a shared feature extraction module, this research study offers a thorough fire detection model using an improved EfficientNet that tackles these issues. Three technical components are creatively combined in the realm of forest fire detection by this study. The first stage is the use of diagonal swap of random (DSRO) data annotation, which makes use of spatial connections in the data to improve the model’s understanding of complex aspects that are essential for precisely identifying possible fire breakouts. By adding a shared feature extraction module across three functions, the second stage solves difficulties in feature extraction and target identification. This greatly increases the model’s performance in complicated forest scenes while reducing false positives and false negatives. The third and final stage focuses on improving the EfficientNet model’s capacity for accurate forest fire categorization. When taken as a whole, these technical components upon creative combination improve the existing technology in forest fire detection and provide a thorough and practical strategy for reducing environmental hazards. For the purpose of hyperparameter tuning in the EfficientNet for the classification of forest fires, an improved Harris Hawks optimization (HHO) is used. By using the Cauchy mutation approach with adaptive weight, HHO expands the search space, boosts population diversity, and improves overall exploration. By including the sine-cosine algorithm (SCA) into the optimization process, the likelihood of local extremum occurrences is decreased. The proposed strategy is successful compared to other existing models, as shown by the experimental findings that show an improvement of 5% in accuracy compared to the standard existing model, and an improvement of 2% compared to EfficientNet model in detecting forest fire.</p>

Master of None: Challenging the Master-Apprentice Model

Abstract: A 2006 research study sought to identify specific characteristics that make for outstanding studio instruction by recording, observing, and analyzing three renowned artist-teachers. Some of the practices of the observed teachers seemed to embody a “master-apprentice” or “teacher-centered” model of teaching, which is increasingly falling out of favor among modern pedagogues. This article identifies the specific elements from the study that were most indicative of a master-apprentice approach. It outlines potential problems with these practices and presents alternative approaches that are intended to reflect a more student-centered pedagogy.

Flood Susceptibility Assessment of Chandpur Sadar Upazila using Analytical Hierarchy Process and Frequency Ratio Model

Flood susceptibility is a critical aspect of natural hazard assessment and disaster risk reduction. The objective of this study find out flood risk zone of chandpur sadar upazila using the Flood frequency ratio (FFR) and Analytical hierarchy process (AHP). The article explore the complex idea of flood susceptibility, focusing on analytical techniques used. The integration of twelve spatial data layers, such as Sediment Transport Index (STI), elevation, Topographic Wetness Index (TWI), slope, aspect, Land Use Land Cover (LULC), soil type, rainfall patterns, Normalize Difference Vegetation Index (NDVI), drainage density and distance from the river, is required for the assessment of flood vulnerability. A flood inventory map was buildup and using these methods, two vulnerability map was created, it was discovered that 60% & 48% of Chandpur's territory is categorized by very high to high risk zone. Flood has dangerous effect on livelihood. I was hoped that it will be a helpful study for researcher and people of this upazila will be benefited.

CUSTOMER ENGAGEMENT DALAM MOBILE MARKETING DAN CONTENT MARKETING

The purpose of this study is to examine and elucidate how content marketing and mobile marketing affect consumer engagement. This study's research methodology is associative and quantitative in nature. One hundred respondents who were customers of Ghaisan Boutique Sukabumi Online Retail made up the study's sample. Using Google Forms, questionnaires were sent directly to Ghaisan Boutique Sukabumi Online Retail customers to collect study data. Multiple linear regression analysis is the analytical method employed in this work. The study's findings demonstrated that factors related to mobile marketing positively impact client engagement. Customer engagement is positively impacted by mobile and content marketing elements to the tune of 50%, with the other 50% being influenced by unstudied variables. This study adds to the body of knowledge in marketing management about consumer involvement, content marketing, and mobile marketing in the context of marketing.

A Study to Assess the Effectiveness of Structured Teaching Programme on Knowledge Regarding Bio Medical Waste Management among Staff Nurses at Integral Hospital Dasauli, Lucknow, U.P

Biomedical Waste Management (BMW) means that any anatomical waste generated during the diagnosis and treatment of the patient or human being. The medical waste that is generated through the hospital causes harmful or toxic effect to the environment. The burning of solid and regulated medical waste generated by health care recreates many problems. In adequate and improper knowledge of handling waste may be have serious health consequences. According to WHO (2011) the inappropriate healthcare waste globally caused 21 million of hepatitis B (virus) and 32 % all new infections. Epidemiological studies indicate that through the improper management of waste had a source of 30 % of HBV infection, 18 % HCV infection & 0.3% of HIV infection. Proper management of biomedical waste is dominant for nurses because nurses spend maximum time with patient and in the ward as compare to any other member in health care team. Nurses have to an aware about the latest guidelines and skills update biomedical waste management to decrease the infection among the patients due to inadequate disposal of biomedical waste management. BACKGROUND: - The amount of biomedical waste being generated in our country is increasing day by day. Biomedical waste if not handled properly can pollute the environment and can spread many harmful diseases. Healthcare workers in our country are still not fully aware about proper biomedical waste management handling and hospital. India as a developing country is facing a lot of health care problem, with the increase in health care facilities; there is a growing concern of hazards of biomedical waste. Since the nursing staff is at the centre of biomedical waste handling, their knowledge of adequate disposal of biomedical waste is important. So, we conducted a study regarding knowledge, attitude and practice of nursing staff working in a premier institute of western Rajasthan with respect to biomedical waste and its management. Proper management of Biomedical Waste (BMW) generated in a healthcare facility is one of the most important functions of a healthcare worker (HCW) as its improper management not only poses risk to 5 human being and environment, but may also invite legal action against HCW as well as hospital administration. This study was carried out to assess the knowledge of Bio Medical Waste Management among Staff Nurses at Integral Hospital, Lucknow. OBJECTIVES: - Objectives of the study are:  To assess the knowledge regarding bio-medical waste management among staff nurses.  To assess the effectiveness of structured teaching program on knowledge regarding biomedical waste management among staff nurses  To find out the association between pre-test and post-test knowledge on Bio-Medical Waste with selected demographic variables among Staff Nurses at Integral Hospital, Lucknow. MATERIALS AND METHODS: - In this research study, the quantitative research approach adopted was pre-experimental, Pre-test and Post-test design setting of the study was selected in Integral Hospital, Lucknow and the sample was 40 Staff Nurses in Integral Hospital are selected by purposive sampling technique, the self-structured questionnaire was used. RESULTS: - The result shows that mean pre-test score and post-test score with standard deviation were 12.58±5.679 and 19.23±1.804 respectively. Based on the findings of the researcher calculated ‘t’ value i.e. 6.643. So the researcher accepted the research hypothesis. The result shows that there was significant association between pre-test and demographic variables. CONCLUSION: - The study concluded that the Structured Teaching Programme was effective in improving the level the knowledge regarding Bio Medical Waste Management.

Sustainability and Human Rights Practices and Training

Twenty-first century citizens live in an interconnected, diverse and intensively changing world. Developing sustainability and human rights practices is of major importance for the survival of both the present and the future generations. This research study comes to investigate primary education teachers’ sustainability practices in their daily lives concerning the three basic pillars of sustainable development, environment, society and economy. At a second level, it is sought to investigate whether there is a correlation between teachers’ practices and their training in sustainability and human rights issues. The "Sustainability Consciousness Questionnaire", in its short version with closed-ended questions-statements was delivered, whereas its reliability and validity were positively assessed. The technique of convenient sampling process was applied, and the sample consisted of 452 primary education teachers working in the Region of Western Greece. Data were analyzed by using IBM SPSS v.28 software. Percentages, frequencies of the mean value and standard deviation were calculated. The test of normality of variables for skills was done with Kolmogorov-Smirnov, and the parametric t-Test was applied to investigate correlations. The internal consistency reliability of the questions of the sustainability practices questionnaire is satisfactory. The findings of the research indicate that the participants are sensitive towards the necessity of recycling, waste management, saving energy, respecting others, and supporting economically weaker people. Finally, it is worth mentioning that teachers who have been trained in sustainability and human rights issues show a greater positive attitude towards sustainability practices than those who have not been trained.

A Review - Factors Affecting on Time, Cost and Quality of Construction

Abstract: The primary goal of this study is to assess and explore time, cost, and quality management within the construction industry. The purpose of the study is to identify factors that impact time, cost, and quality management in construction projects. Quality stands out as a crucial aspect of all projects, and the success of construction projects hinges significantly on the performance of quality. However, accomplishing this objective is undeniably a challenging task. This study specifically investigates the factors that influence the control of cost and time in construction projects. The aim is to propose recommendations that can assist stakeholders in achieving enhanced cost and time performance in construction projects. The study acknowledges the intricate nature of balancing these key elements and strives to contribute valuable insights for improving overall project outcomes in the construction industry. This study is limited to the perspective of an appropriate sample of professionals in the construction industry. The data collection method involves the use of questionnaires and interviews, which will be subject to descriptive statistical analysis utilizing percentages, mean scores, and frequency of collected data. The primary factors influencing time, cost, and quality in a construction project were identified as planned and scheduled deficiencies, fraudulent methods, kickbacks, and the absence of clear evaluation standards. The research aims to scrutinize the factors that have both positive and adverse effects on construction projects. The study recommends that the construction team work diligently to ensure effective management of time, cost, and quality in construction projects. The objective of this study is to analyze how those involved in project teams perceive time, cost, and quality management on construction projects. Conclusions are drawn, and recommendations are made regarding time, cost, and quality management estimates for construction projects. In the construction industry, the concept of risk management is a less popular technique. There are three main stages in the systematic approach to risk management in the construction industry. A questionnaire, developed based on identified factors, was used to gather the opinions of construction experts. Quality is a critical aspect of any project, especially in construction. The success of construction projects is largely determined by the quality of work. Unfortunately, the construction industry is facing quality issues that result in ineffective and inefficient projects, leading to cost overruns, delays, and excessive rework. To address this issue, a research study was conducted to examine the factors that have positive and negative impacts on construction projects. A questionnaire was developed to gather feedback from construction experts, and statistical analysis tools such as chisquare and weighted mean method (WMM) were used to rank the significance of these factors. The definition of quality can vary depending on the perspective of those defining it. Some see it as meeting specific requirements, while others view it as delivering value for the price paid. For construction companies, quality is about satisfying customers and fulfilling their needs while staying within budget. Quality is an important factor in construction projects, as it can lead to cost overruns and delays. Quality control (QC) and quality assurance systems are established to meet specific requirements. In the construction industry, QC can be seen as achieving client satisfaction, managing costs, and allowing enough time to achieve the desired level of quality. An international standard organization (ISO) has developed a quality assurance system to improve quality and address quality-related issues. The ISO 9001 series has been created to apply to all types of organizations.

Self Compaction Concrete

Abstract: In this paper, we present the main objective of this study is to gain an absolute knowledge on self-compacting concrete (SCC) and to sort out the research gap in field of self-compacting concrete containing admixtures. This research study is carried out in the three phases and the details are Phase – I to develop the mix design of M50 grade using Nan-Su method. To optimize the developed mix proportions by using statistical (DOE) design; ranging content of the key variables of self-compacting concrete cement. To study the fresh concrete properties (rheological) and mechanical properties (compressive strength) of selfcompacting concrete by varying different parameters such as fine aggregate, coarse aggregate, super plasticizer (SP) and water/binder ratio.

The Impact of a Mobile App on Student-Alumni Communication and Engagement: A Case Study

Abstract: The purpose of this study was to examine the effects of a mobile application that connects college students and alumni on their communication, networking, and career development. The app was developed by a team of students as a novel idea to foster strong alumni relations and provide mentorship opportunities for current students. The study used a mixed-methods approach, combining quantitative data from surveys and qualitative data from interviews. The surveys were conducted before and after the app was launched, and the interviews were conducted after the app was used for three months. The results showed that the app was beneficial to both students and alumni, as it increased their frequency and quality of communication, enhanced their sense of belonging and community, and improved their skills and experiences. The paper discusses the implications, limitations, and recommendations of the study for future research and practice.

Defining the Balearic Islands’ Tourism Data Space: An Approach to Functional and Data Requirements

The definition of a tourism data space (TDS) in the Balearic Islands is a complex process that involves identifying the types of questions to be addressed, including analytical tools, and determining the type of information to be incorporated. This study delves into the functional requirements of a Balearic Islands’ TDS based on the study of scientific research carried out in the field of tourism in the Balearic Islands and drawing comparisons with international scientific research in the field of tourism information. Utilizing a bibliometric analysis of the scientific literature, this study identifies the scientific requirements that should be met for the development of a robust, rigorous, and efficient TDS. The goal is to support excellent scientific research in tourism and facilitate the transfer of research results to the productive sector to maintain and improve the competitiveness of the Balearic Islands as a tourist destination. The results of the analysis provide a structured framework for the construction of the Balearic Islands’ TDS, outlining objectives, methods to be implemented, and information to be considered.

Cultivating Positive Classroom Environments: Exploring the Efficacy of Immersive Technologies in Removing Barriers to Learning Among Primary School Students

This is a small-scale qualitative participatory research study conducted in two large primary schools in Ireland with classes for autistic students. The paper reports how a menu of immersive technology learning experiences was thoughtfully designed and employed with autistic children who were communicating through their behavior an aversion to the learning environment and many aspects of conventional learning activities. Through this study, students were enabled to explore and respond to learning through immersive learning environments. The Universal Design for Learning (UDL) infused design of these immersive learning experiences was tailored to remove barriers to learning, thus counteracting the observable disruptive behaviors of the students. The study explores a purposive sample of six participating teachers’ perspectives on the affective gains (engagement, motivation, and self-efficacy) achieved through the use of these immersive experiences and their impact on students’ use of disruptive behaviors as a means of communication. Semi-structured interviews with teacher participants were analyzed using the theory and a general inductive approach for qualitative data analysis. This paper contributes to the literature on the use of immersive technologies in education and highlights the potential benefits of incorporating these technologies into the classroom.

Factors Affecting the Political News Journalists in the Sudanese Newspaper Organizations When They Are Doing Their Duties

Factors affecting the political news journalists in the Sudanese newspaper organizations when they are doing their duties. This study is a descriptive research study designed to obtain pertinent and precise information concerning the status of the phenomena, and, whenever possible, to draw valid general conclusions from the facts discovered. questionnaire was used as a tool for this study. samples were chosen from journalists working in the Sudanese newspaper institutions, representing, an intended sample from the field study community. The descriptive method is used to describe the situation and analysis of the results: The study proved that male journalists worked in the political news sections, more than female, are working in the same sections, and the paid wages to the various categories of the journalists in the Sudanese newspaper situations, are unsuitable for the effort exerted in their working. The study shows that political Sudanese journalist is subjected to pressure when they are doing their duties.

CURRENT STATE OF ENVIRONMENTAL AWARENESS OF TRANSPORT SERVICE STAKEHOLDERS AND END-CUSTOMERS IN THE INTERMODAL TRANSPORT CHAIN

Despite all the measures already taken and those still underway, pollution remains a major global problem, as the transport sector is the one where emissions are expected to increase in the coming years. Companies and policy makers are under increasing pressure to reduce the impact of their logistics activities in order to make transportation more environmentally friendly. One of the solutions to reduce emissions from intermodal transport is to choose the “right” mode of transport for each step in the transport chain. Such a measure increases the complexity of the transport chain and places an additional burden on transport companies in planning and organising transport for the entire transport chain. Additional difficulties arise from the fragmentation of information on emissions emitted for a single transport link and the lack of a unified approach to measuring and estimating transport chain emissions. As a result, this work finds that there is a lack of knowledge among users about the environmental impacts of transportation, despite the desire to contribute to greener transportation by paying more for a product or transportation service. The current research fills the gap in stakeholders’ understanding of the negative environmental impacts for individual transportation and for the entire transport chain. In addition, the study reveals a need for a systematically regulated and adapted way of informing users of intermodal transport chains due to the lack of transparency and comparison between different intermodal transport chains. To successfully address the challenges, the study proposes a 2-pillar approach. The 1st pillar approach focuses on designing a set of necessary measures (combination of top-down and bottom-up approach) for the transition to a low-carbon transport chain, while the 2nd pillar mainly focuses on mapping the level of green transport for easy comparison of similar products or services. The results of the research study show that the combination of numerical data with symbolic data is best suited to provide information on the level of green transport.