Potential Paths Research Articles

Cross-level transformation of creativity from entrepreneurs to organizations.

With the intensification of competition in the business environment, organizational creativity is increasingly becoming crucial for organizations to build competitive advantages and promote organizational development. For innovative enterprises, their entrepreneurs largely determine the development orientation of the enterprise. They are one of the most critical factors determining the level of corporate innovation, but there need to be more effective creativity transformation path to pursue innovation development. The findings in this study show that entrepreneurial individual creativity has a significant positive effect on organizational creativity, platform leadership mediates the path of creativity transformation across hierarchical levels, and organizational culture has positive moderating effect between platform leadership and organizational creativity. The study results explain the transformation mechanism of creativity from the entrepreneur's perspective, expand the potential transformation path of organizational creativity, and are instructive for enhancing organizational creativity.

"What will you do after?": Lessons from Academia and the World Beyond.

Determining post-PhD career options is a challenge for many Psychology PhD graduates. Here I provide a comprehensive overview of the diverse career trajectories available to graduates, drawing from interviews with 53 PhD graduates conducted as part of the two-volume Academia and the World Beyond book series. From these, I conducted a hierarchical qualitative classification to categorise and characterise potential career paths. The findings reveal a spectrum of opportunities, from traditional academic roles to "academic adjacent" and "skill-transfer" careers. This work underscores the versatility of Psychology doctoral training, providing skills that can support a wide array of career possibilities. The results serve as a guide for current and prospective PhD students-and their mentors-emphasising the variety of professional contexts where doctoral training is beneficial.

What factors contribute to in-role and extra-role safety behavior among food delivery riders?

Food delivery riders face significant road safety risks globally. Previous studies have primarily focused on the direct relationship between job demands, job resources, and road safety behaviors, often neglecting the potential indirect paths through dual processes, namely the health impairment process and the motivational process, which may lead to dangerous riding behaviors. Additionally, the impact of organizational citizenship behaviors on the safety of food delivery riders within the industry remains unexplored. This study aims to address these gaps by applying the dual processes of the Job Demands-Resources model (JD-R) to identify factors influencing the safety behaviors of food delivery riders in Vietnam. Data were collected through face-to-face surveys with 410 riders in public places. The findings show a nuanced interplay between job demands, resources, and safety behaviors. Specifically, job burnout acts as a bridge, mediating the influence of job demands on in-role safety behaviors. On the other hand, job resources-encompassing facets like job autonomy, performance feedback, technology support, and work support-indirectly shape both in-role and extra-role safety behaviors via the conduit of motivation. These resources not only bolster motivation but also serve as pillars in fostering a culture of safety among riders. This research not only deepens our understanding of the determinants of food delivery riders' safety behaviors but also highlights the pivotal role food delivery companies play in shaping these behaviors. By prioritizing the holistic well-being of their riders and offering robust support, these companies can foster an environment conducive to safety. Additionally, by integrating additional dimensions of job demands and resources into the JD-R model, this study paves the way for more comprehensive and nuanced future research in this domain.

Is cyber hygiene a remedy to IPTV infringement? A study of online streaming behaviours and cyber security practices

Spurred by the rapid modernisation of the sector and the advent of Internet Protocol Television (IPTV), audiovisual (AV) piracy is at epidemic levels, with interventions having limited effect. To date, the dominant themes in interventions have been around personal deterrence (i.e. the threat of legal action) and have not considered other factors that may influence an individual’s decision to consume infringing content. In this paper, we consider psychological factors, including perceptions around risk-taking, security behaviours, problematic internet use and personality traits, to gain a comprehensive understanding of factors influencing engagement with IPTV and the potential implications for cyber security. For this purpose, a survey was conducted with 283 participants living in the UK (age range 18–74, male 104), and an integrated structural equation model was constructed. Our findings showed a positive relationship between security behaviours and the perceived risk of viewing IPTV and a negative relationship between the dark personality triad and the perceived risk of viewing IPTV. They suggest that security behaviours fully mediate the relationship between problematic internet use and IPTV risk-taking, indicating a potential new path for anti-piracy interventions with greater efficacy.

Modelling the Impregnation of a Pressure-Tight Casting

AbstractPressure tightness is important for many die-cast aluminium castings, but the interconnected porosity formed in the aluminium alloy high-pressure die castings (HPDC) can form a network connecting several surfaces of the casting, especially as a result of machining after casting. The resulting potential leakage path can be imagined as a series of discontinuities varying in size over wide limits, where voids of different volumes are connected by channels of smaller cross section. Although vacuum impregnation is often used to ensure pressure-tightness is a robust technology, cavity systems through the casting can still cause leakage after impregnation. This study addresses the issues of the impregnation of discontinuities with a complex geometry. The elementary part of a complex cavity geometry consists of a cavity and a capillary channel. We estimated the limited permeability of the capillary section using a mathematical model based on the Hagen–Poiseuille equation. The calculation results prove that the degree of filling of the cavity with a capillary section is basically a function of the geometrical characteristics of the cavity, primarily the radius of the capillary. If the cavity system also contains a section with a diameter of less than 28 μm, impregnation does not necessarily ensure the gas tightness of the casting. Depending on the radius of the capillary, the impregnation of a cavity of a given volume and connected to the surface through a capillary section of a given length can produce three different results. Above a certain capillary radius, filling is complete, below a certain capillary radius only the capillary itself will contain resin, and between the two limit values, the partial impregnation of the cavity is expected but the capillary section is not filled.

Navigating the Path of Least Resistance to Sustainable, Widespread Adoption of Nuclear Power

With climate change rapidly accelerating, we must seriously reconsider our inconsistent and, at times, disjointed approach to energy grid decarbonisation by applying extant low-carbon technologies rapidly and at scale rather than continuing to rely on fossil fuel generation. In contrast to more transient renewables such as wind and solar energy, nuclear power is capable of reliably generating large quantities of baseload low-carbon energy. Despite this advantage, however, deployment has stagnated due to a combination of high costs, safety concerns, and an unwillingness of political authorities to commit to a large-scale, publicly funded program. The focus on private sector leadership in R&D has resulted in a smorgasbord of under-developed and conceptual reactor and fuel cycle technologies, many of which are a decade or more from commercial viability. Meanwhile, the aforementioned political issues have prevented the necessary long-term funding, incentivisation, or provision of the necessary market structures for the significant construction of actual generating plants. With this in mind, we present a potential path to a long-term sustainable approach to the nuclear fuel cycle, highlighting key reactor and fuel cycle technologies and providing an overview of how these should be implemented. Additionally, we discuss the industrial, political, and societal changes needed to achieve this through the comprehensive management of both waste and resources.

The Future of Space Exploration

This research study conducts a complete analysis of the diverse future of space travel by tying together historical legacies, current dynamics, and potential paths. The study covers the current era, looking at significant turning events, technological advancements, the influence of commercial groups, and the growing space tourism industry. By discussing upcoming space missions, technological developments that may revolutionise space travel, the difficulties of international collaboration, and the implications for society, future directions are demonstrated. As we examine the problems of technical advancements, economic feasibility, and environmental sustainability, suggested solutions emerge, demonstrating the field's adaptability to changing circumstances.[2] Examined are the moral and social repercussions of human existence away from Earth, emphasising the importance of international inclusivity and collaboration. The study's conclusion emphasises the value of continuous adaptation, interdisciplinary collaboration, and a shared commitment to responsible discovery with an eye towards the future. The exciting future of space travel will be determined by sustained study, policy development, and a shared vision for humanity's cosmic trip.[4] Key Words: — Space exploration, future trends, historical milestones, technological advancements, private space entities, space tourism, upcoming missions, interplanetary travel, international collaboration, societal implications, ethical considerations, sustainability, economic viability, interdisciplinary research, cultural contributions, global governance, continuous adaptation.

Performance Evaluation of Machine Learning Model in Predicting Heart Disease Prevalent

Heart disease stands as the foremost contributor to global mortality in the present era. While a range of medical tests aids in diagnosing various manifestations of heart disease, anticipating its occurrence without resorting to these tests presents a formidable challenge. Machine learning has revealed a potential path for comprehending extensive medical datasets, unearthing concealed insights that elude human observation. Random Forest, Logistic Regression, XG Boost, k-nearest neighbor, and Gradient boosting was used to predict instances of heart diseases based on age and gender in this study. Regardless of the dataset's generalization or gender-specific characteristics, we observed that Random Forest, XG Boost, and K-Nearest Neighbors models exhibit high robustness and minimal sensitivity to hyperparameters. While the prediction accuracy remains consistent among Random Forest, Xgboost, and K-Nearest Neighbors, the crucial features responsible for achieving that accuracy vary among them. This observation indicates that it is important to test different machine learning algorithms when the interest is in prediction and understanding the most important feature(s). Keywords: Machine Learning, Heart Disease, Diagnosis, Predictions, Accuracy CISDI Journal Reference Format Abiola O. A. Adebisi R. O. Adeyemo A. B. (2024): Performance Evaluation of Machine Learning Model in Predicting Heart Disease Prevalent. Computing, Information Systems, Development Informatics & Allied Research Journal. Vol 15 No 1, Pp 63-72.dx.doi.org/10.22624/AIMS/CISDI/V15N1P5. Available online at www.isteams.net/cisdijournal

Analysis of Ukrainian Animation Film Art

Ukraine, as a country with profound cultural heritage, exhibits rich and diverse characteristics in its cultural development. This paper focuses on the development status of Ukraine in the field of animated filmmaking, aiming to conduct in-depth discussions and exchanges. Although Ukraine's film industry possesses certain strengths and has even won awards at international film festivals, its performance in the specialized field of animated filmmaking seems to have not reached a level commensurate with its overall cultural strength, leaving certain gaps and deficiencies. By reviewing the history of Ukrainian cinema and animated filmmaking art, analyzing the early development of Ukrainian animated art, and combining it with the analysis of the current situation of Ukrainian animated films, this paper explores potential paths for its development.

Leveraging the Potential of the African Continental Free Trade Area: Logistics Challenges and Development Paths for Future Value Chains in Africa

Background: With a rapidly growing young population, the African continent provides a high but barely exploited economic potential. Creating an African free trade zone is one of the African Union’s major initiatives to increase prosperity. Even though the AfCFTA has already come into force, its potential has not yet been fully exploited. This study investigates the logistics challenges associated with the AfCFTA and potential solutions and development paths for future value chains. Methods: The study builds upon a two-stage research process. First, applying the Nominal Group Technique with a group of 19 industry experts, current challenges and strategies to deal with them are conducted, and statements about potential development paths emerging from the AfCFTA are synthesized. Second, a questionnaire among additional industry experts is done to assess the results of the first stage. Results: The article sheds light on the barely untapped field of logistics challenges hindering the AfCFTA to leverage its potential. Strategy fields to address current challenges are explained, and the first indications of how the AfCFTA will shape supply chains in the mid-term are outlined. Conclusions: The article underlines the importance of logistics in the development of pan-African value chains and highlights potential development paths that may arise in the medium term. It also emphasizes the growing need for cooperation between politics, business, and research to overcome current logistics challenges and leverage the potential of the AfCFTA.

RESEARCH ON THE DEVELOPMENT PROSPECTS OF UZBEKISTAN TOURISM MARKET ECONOMY

The purpose of this article is to deeply explore the future development prospects of Uzbekistan's tourism market economy. By collecting and analyzing a large amount of data, combined with relevant theories, it objectively describes and explains the potential, growth trend, competition pattern and future development path of the Uzbekistan tourism market. This study will use a mixed research method to obtain data through questionnaires, in-depth interviews and content analysis, and use statistical tools to analyze and interpret the data. The research results show that Uzbekistan's tourism market economy has great potential for development and will maintain a steady growth trend in the next few years. At the same time, the competition pattern will also change with the development of domestic and foreign markets. Although, the unique geographical environment and multicultural atmosphere have gradually attracted the attention of domestic and foreign tourists. However, due to the influence of various factors such as history, politics, and economy, the economic development of the tourism market in the country still faces many challenges. Therefore, in order to achieve the sustainable development of the tourism market economy, Uzbekistan needs to adopt a series of policy measures, including improving the quality of tourism services, strengthening the construction of tourism brands, and expanding the international market.

COVID-19 Associated Cardiovascular Disease-Risks, Prevention and Management: Heart at Risk Due to COVID-19.

The SARS-CoV-2 (Severe Acute Respiratory Syndrome Coronavirus-2) virus and the resulting COVID-19 pandemic have had devastating and lasting impact on the global population. Although the main target of the disease is the respiratory tract, clinical outcomes, and research have also shown significant effects of infection on other organ systems. Of interest in this review is the effect of the virus on the cardiovascular system. Complications, including hyperinflammatory syndrome, myocarditis, and cardiac failure, have been documented in the context of COVID-19 infection. These complications ultimately contribute to worse patient outcomes, especially in patients with pre-existing conditions such as hypertension, diabetes, or cardiovascular disease (CVD). Importantly and interestingly, reports have demonstrated that COVID-19 also causes myocardial injury in adults without pre-existing conditions and contributes to systemic complications in pediatric populations, such as the development of multisystem inflammatory syndrome in children (MIS-C). Although there is still a debate over the exact mechanisms by which such complications arise, understanding the potential paths by which the virus can influence the cardiovascular system to create an inflammatory environment may clarify how SARS-CoV-2 interacts with human physiology. In addition to describing the mechanisms of disease propagation and patient presentation, this review discusses the diagnostic findings and treatment strategies and the evolution of management for patients presenting with cardiovascular complications, focusing on disease treatment and prevention.

Perspective: Leveraging Electronic Health Record Data Within Food Is Medicine Program Evaluation: Considerations and Potential Paths Forward

Government, health care systems and payers, philanthropic entities, advocacy groups, nonprofit organizations, community groups, and for-profit companies are presently making the case for Food is Medicine (FIM) nutrition programs to become reimbursable within health care services. FIM researchers are working urgently to build evidence for FIM programs’ cost-effectiveness by showing improvements in health outcomes and health care utilization. However, primary collection of this data is costly, difficult to implement, and burdensome to participants. Electronic health records (EHRs) offer a promising alternative to primary data collection because they provide already-collected information from existing clinical care. A few FIM studies have leveraged EHRs to demonstrate positive impacts on biomarkers or health care utilization, but many FIM studies run into insurmountable difficulties in their attempts to use EHRs. The authors of this commentary serve as evaluators and/or technical assistance providers with the United States Department of Agriculture’s Gus Schumacher Nutrition Incentive Program National Training, Technical Assistance, Evaluation, and Information Center. They work closely with over 100 Gus Schumacher Nutrition Incentive Program Produce Prescription FIM projects, which, as of 2023, span 34 US states and territories. In this commentary, we describe recurring challenges related to using EHRs in FIM evaluation, particularly in relation to biomarkers and health care utilization. We also outline potential opportunities and reasonable expectations for what can be learned from EHR data and describe other (non-EHR) data sources to consider for evaluation of long-term health outcomes and health care utilization. Large integrated health systems may be best positioned to use their own data to examine outcomes of interest to the broader field.

New method for determining the mode I fracture toughness of shotcrete: edge-notched partial disc test

The fracture toughness (mode I) of shotcrete specimens was obtained using edge-notched partial disc (ENPD) specimens. Notched Brazilian discs (NBDs) were also tested to validate the results of the ENPD experiments. Numerical analysis was also conducted on the ENPD results to compare the measured and numerically obtained fracture toughness values. The notch lengths in the ENPD specimens were 15, 30, 45 and 60 mm, while the notch lengths in the NBD specimens were 10, 20, 30, 40, 50 and 60 mm. It was found that the flat joint model accurately predicted the potential crack growth path and crack initiation stress as compared with the experimental results. It was also deduced that the fracture toughness was roughly the same with an increase in the notch length. The tensile strength (σt) and fracture toughness (KIC) of the shotcrete specimens were found to be meaningfully correlated (σt = 7.92KIC). The ENPD tests yielded the lowest fracture toughness values because of the pure tensile stress distribution on the failure surface. It was also found that the derived fracture extension patterns from the laboratory investigations were in acceptable agreement with the outputs of numerical simulations.

Troubling ‘the norm’? Or, how to become a recognisable, visible gay parent through surrogacy: A comparative analysis of Israeli and German gay couples

Over the past two decades, recognition of same-sex relationships and non-normative families has increased alongside greater access to reproductive technologies. Despite this progress, surrogacy, a potential path to parenthood for gay couples, remains banned in many countries. Research indicates that gay couples, facing legal restrictions, often seek reproductive services abroad, navigating complex legal, political and sociocultural contexts in both their home and destination countries. However, existing research lacks cross-country comparisons that explore how different contexts shape gay couples’ reproductive practices. This study enhances our theoretical understanding of the intricate interplay between social structure and social interactions. It explores how normative family conceptions, ingrained in legal frameworks, societal norms and cultural values at the macro level, profoundly influence the (normalising) practices of couples at the micro level. Empirically, this study compares Germany and Israel, where gay couples face starkly different challenges. Germany universally prohibits surrogacy, while Israel permits it, although not for gay men during my interviews. Drawing on interviews with couples from both countries who engaged surrogates abroad, this study analyses their struggles for legal recognition and social visibility as ‘gay father families’. In both countries, couples navigate legal, political and sociocultural contexts differently, encapsulated in a process termed ‘becoming a gay father family’, involving concealing surrogacy and appropriating heteronormative family narratives. The data indicate that the couples’ social interactions reflect and reinforce a discernible normative shift from heteronormativity to repronormativity in the context of assisted reproduction.

Predictions of Early Hospitalization of Diabetes Patients Based on Deep Learning: A Review

Unmanaged diabetes can result in a number of complications that need to be hospitalised. Diabetes is a chronic disorder. With preventive treatment, outcomes may be improved through early prediction of diabetes-related hospitalisation using data-driven algorithms. Here, we examine recent advances in deep learning methods for anticipating readmissions and unexpected hospital stays in adult patients with diabetes. Firstly, we present an overview of the main factors that indicate the need for hospitalisation due to diabetic complications. The research on hospitalisation risk prediction using structured health data, such as demographics, prescriptions, test results, etc., using conventional machine learning techniques is then summarised. Using data from insurance claims and electronic health records, we then examine current research that has used deep learning models. It is emphasised that longitudinal data can be included using recurrent neural networks. Model architectures, training methods, and important data modalities are covered. The assessment also addresses deployment difficulty and the model's performance assessment on real-world datasets. Ultimately, potential paths forward include hybrid models that integrate data diversity, explainable predictions, and clinical knowledge. In order to provide evidence-based predictions of the risk of hospitalisation and readmission for diabetes patients, we examine the potential and constraints of recently developed deep learning algorithms in this review.

Lifetime improvement of wireless sensor networks by employing Trust Index Optimized Cluster Head Routing (TIOCHR)

Since the low cost and widespread accessibility of the sensors, Wireless Sensor Networks (WSN) turned out to be the most significant research field. The WSN is used in a number of different applications and the primary goal is accomplished with efficient communication between the sensors. On the other hand, due to the limited energy backup, effective communication in sensors is notoriously difficult to perform. Although numerous routing solutions have been developed for WSN, the extant literature only contains a limited number of trust-based options. This article describes a trust-based optimized clustered routing method that is energy efficient and is supported by Trust Index Optimized Cluster Head Routing (TIOCHR) algorithm. The selection of Cluster Head (CH) is influenced by energy backup, packet delivery rate and the packet consistency, which are considered as significant trust metrics. In order to assure both reliability and integrity, the most trustworthy way out of all of the potential paths is chosen. The experimental analysis of the proposed algorithm is satisfactory with regard to energy efficiency and network lifetime.

PHARMACOINFORMATICS ANALYSIS OF MORUS MACROURA FOR DRUG DISCOVERY AND DEVELOPMENT

Objective: Pharmacoinformatics is an innovative approach rapidly evolving in pharmaceutical research and drug development. This study focuses on analysing Morus macroura, a plant species with untapped pharmacological potential. This investigation aims to leverage pharmacoinformatics techniques to unveil the hidden potential of Morus macroura in drug discovery and development.
 Methods: The study includes analyses of protein-protein interactions, deep learning docking, adsorption tests, distribution, metabolism, excretion, molecular dynamics simulations and free energy calculation using Molecular Mechanics Generalized Born Surface Area (MMGBSA).
 Results: Nine active compounds were identified in Morus macroura, namely Andalasin A, Guangsangon K, Guangsangon L, Guangsangon M, Guangsangon N, Macrourone C, Mulberrofuran G, Mulberrofuran K, and Mulberroside C. These compounds exhibit protein-protein interaction activities against a cytochrome P450 monooxygenase that catalyses the conversion of C19 androgens. These plant compounds influence aromatase excess syndrome, deficiency, and ovarian dysgenesis. Regarding drug-likeness, Mulberroside C and Macrourone C demonstrated good absorption potential by adhering to Lipinski's rule of five. Deep learning docking simulations yielded affinity results of-9.62 kcal/mol for Guangsangon M,-10.44 kcal/mol for Macrourone C, and-10.99 kcal/mol for Guangsangon L. Subsequent molecular dynamics simulations indicated that Guangsangon L and Macrourone C remained stable during a 100 ns simulation.
 Conclusion: Morus macroura interacts with important proteins, particularly CYP19A1, which might influence health conditions like aromatase excess syndrome and ovarian dysgenesis. These findings provide potential paths for addressing specific health issues and advancing drug development. Molecular dynamics simulations indicated that Guangsangon L and Macrourone C remained stable during simulation.

The potential causal path between periodontitis stage diagnosis and vegetable consumption is mediated by loss of posterior functional tooth units and masticatory function.

Emerging evidence points to a two-way relationship between periodontitis and dietary choices and, thus, nutrition. This study aimed to assess the potential cause-effect relationship between the periodontitis stage, loss of functional tooth units (FTUs), masticatory function, and intake of different food groups using path analysis. A single calibrated examiner determined the periodontitis stage of a consecutive sample of 241 Chinese subjects reporting for tooth replacement. Their masticatory function was quantified by the mixing ability of a two-colour chewing gum. Validated food frequency questionnaires were used to calculate the intake of 33 food group items by an experienced calibrated rater. After verification of assumptions, visual structural equation modeling was performed with Amos 23. The consistency of results and the potential modifying effect of age were assessed in 9043 subjects from the NHANES database. Highly significant models were constructed using periodontitis stage and age as exogenous factors. Periodontitis stage diagnosis significantly affected the number of posterior FTUs and oral health-related quality of life (OHRQoL, path coefficient [PC] = -0.55 and -0.20, p < .05, respectively). In the model, FTUs also had an independent effect on OHRQoL (PC = 0.23, p < .05). FTUs determined the level of masticatory function (PC = -0.38, p < .05), which in turn affected vegetable intake but not fruit or meat intake (PC = -0.18, p < .0.5, PC = 0.06, NS and PC = 0.11, NS, respectively). The effect of age was significant for vegetable and meat intake and was also correlated with periodontitis stage diagnosis. Analysis of the NHANES database confirmed the negative impact of periodontitis on the number of occluding pairs and vegetable consumption for the 18-44, 45-60 and >60 age groups. Periodontitis showed a potential cause-effect pathway affecting vegetable intake across cultures and age groups. The size of the effect is potentially of clinical and public health significance. Additional studies, including intervention trials, are required to test this potential mechanism linking oral health to nutrition.

The effects of energy quota trading on total factor productivity and economic potential in industrial sector: Evidence from China

Energy quota trading is critical to both energy conservation and the achievement of dual-carbon goals. However, little remains to be done on total factor productivity and economic potential for Chinese industry. The purpose of this paper is to counterfactually model and explore the effects of energy quota trading on total factor productivity and economic potential in industrial sector. We propose a command-controlled DEA model and an energy quota trading DEA model through non-parametric linear programming based on two policy strategies of energy consumption control. We then assess total factor productivity and its growth sources for 35 two-digit industrial sector in China, as well as examine economic potential and optimal path forecasts for carbon peaking. The results show that total factor productivity and economic potential for energy quota trading are higher than those for command-controlled energy policy. Energy-saving effect can be achieved for energy quota trading because the total energy input is lower. Additionally, the sources of productivity growth differ in timing. The average economic potential and total factor productivity of different industries differ due to the heterogeneity of the production conditions and scale of development of individual market players. Moreover, the catch-up emission reduction path with an increase of 8% in output and 4.76% in energy consumption is the optimal carbon peaking path under energy quota trading. Our findings shed valuable light on China's efforts to expand energy quota trading for high-quality development in the context of carbon peaking.