Pace Of Progress Research Articles

Methods of Terminology Development for Al-Tahtawi

Objectives: In the 19th century, a problem arose concerning the Arabic language in the cultural interaction between Arabs and the French. The French had an advantage in using a language adapted to the pace of scientific progress. In contrast, the Arabic language did not linguistically evolve compared to the French language, leading to terminology issues. This study aims to identify the translation methods and techniques used by Rifa'a al-Tahtawi in his writings to address these terminology challenges. The study highlights the role of translation in formulating and constructing terms, as the Arab culture in the 19th century witnessed continuous progress in this field. Methods: The study adopted an analytical approach, examining examples and other relevant studies to draw conclusions based on relevant sources. Results: Rifaa al-Tahtawi launched the project of developing terminology based on various translation techniques, including semantic and literal translations. The resulting methods included the revival of ancient words and its use for the average citizen, Arabization, and finally, generating new terms. This enriched the Arabic language with new scientific and progressive vocabulary. Conclusions: Thus, it can be concluded that a language remains alive through its interaction with other languages, and translation proved to be one of the primary channels for introducing terminology into the Arabic language.

Comparison of clinical parameters of peri-implantitis and parameters related to tissue macrophage sensitization on TiO2

ObjectiveDental implants show impressive survival and like rates, but peri-implantitis is a frequent inflammatory disease which affects the implant-surrounding tissues. While biofilms on the implant surface is considered its etiologic reason, several risk factors determine the pace of progression of peri-implant bone loss. Some risk factors are generally accepted while others are still unconfirmed and a matter of ongoing discussion. Among the latter, tissue macrophage sensitization on TiO2 has gained scientific interest in recent years. The aim of the present case-control study was to test for potential associations between clinically manifest peri-implantitis and MS related parameters.Materials and methodsIn patients with implants affected by peri-implantitis in the test group and healthy implants in the control group clinical parameters (peri-implant pocket depths (PPD) and bleeding on probing (BOP) were measured. Samples of aMMP-8 were taken from the entrance of the peri-implant sulcus and bacterial samples were collected from the sulcus. Blood samples were obtained from the basilic vein to assess MA-related laboratory parameters. Potential correlations between clinical and laboratory parameters were tested by multiple regression (p < 0.05).ResultsNo statistically significant correlations were found between clinical or bacteriological findings and laboratory parameters were found.ConclusionsBased on the findings of this study elevated MA-related laboratory parameters do not appear to be linked to peri-implantitis.Clinical relevanceSensitization on TiO2 is not associated with clinical symptoms of peri-implantitis.

The use of new technologies in a provincial primary school in Greece: A case study

The introduction of Information and Communication Technologies (ICT) in the educational process is a necessary step for improving the quality of education, as it keeps pace with the rapid pace of technological progress. This study aims to explore primary school teachers' views on the usefulness and challenges they face in integrating ICT into their teaching. For the study, qualitative research was conducted through semi-structured interviews with six primary school teachers working in a 6/seat provincial primary school who use ICT in the educational process. The interviews were analysed using the thematic analysis method. The findings of the thematic analysis revealed four main themes: 1) the usefulness of ICT, 2) the types of ICT used, 3) the difficulties teachers face in using ICT, and 4) strategies for managing these difficulties. In particular, ICT improves the quality of the educational process, enhances student participation and interest, and improves educational outcomes for students with special educational needs, such as learning difficulties. The types of ICT preferred are computers, projectors, the Internet, educational videos and software games. The main difficulties identified include a lack of logistical infrastructure, limited teacher time based on the curriculum and insufficient teacher training. Strategies to manage these difficulties include initiatives to acquire equipment through Christmas bazaars, teacher adaptability and the need to attend training programmes. Suggestions for future research include expanding the sample and exploring the views of students and parents.

Factors Influencing Greenhouse Gas Reduction Measures in European Ports: Implications for Sustainable Investing

European Union cargo and container ports are under pressure to reduce GHG emissions and achieve carbon neutrality by 2050, as mandated by the European Commission. The pace of progress varies among ports. This study examined the characteristics influencing GHG reduction measures in European cargo and container ports and their implications for sustainable investing. The methods used in this study, such as linear regression models to analyze predictive variables, can be applied in sustainable investing to assess which factors most strongly predict a company’s environmental, social, and governance performance. Using linear regression models to analyze data from the 33 busiest European ports, we identified five predictive variables: port size, cargo mix, surrounding population density, access to the sea, and the economic wealth of the host country. Our findings revealed that the port size significantly correlates with the adoption of measures to reduce scope 1, 2, and 3 emissions. This study underscores the importance of contextual and operational factors in evaluating sustainability efforts across sectors. The results contribute to drawing parallels with the field of sustainable investing within finance. This offers valuable insights for sustainable investing, emphasizing the importance of considering various contextual and operational factors when evaluating the sustainability efforts of entities in different sectors.

Stable and robust discriminative sensing of illicit drug molecules utilizing a specific geometry of nanotubes

The possibility of detecting and discriminating drug molecules is of utmost importance for several areas, including such important fields as security, public health and industry. The adequate detection of this type of substances then affects key sectors of society and is the subject of several studies and works that attempt to improve such detection and discrimination. Among the new devices used to detect drug molecules, the development, both experimental and theoretical, of nanosensors plays an increasingly important role and is expected to significantly increase the pace of progress in this field. In this work we have calculated the electronic and transport properties of a series of nanoscale devices based on carbon nanotubes and metallic heteronanotubes with hBN strips. These devices are specifically designed to sense drug molecules of a certain size and discriminate between three of them, namely cocaine, heroin, and morphine. We have found that the devices can effectively feel the presence of the drug molecules and distinguish between them through changes in the transmission, the conductance and the current. We have also found that such quantities depend on the angle of orientation, which shows that these systems have also the potential to determine the angle at which the molecule passes through it, i.e. to angularly discriminate between them. Furthermore, we have computed the Seebeck coefficient and found that such quantity can also be utilized to distinguish between the compounds. We have in addition found that the compounds behave as acceptors (they acquire charge) when the walls of the device are nanotubes and as donors (they lose charge) when the nanotube walls are heteronanotubes. Finally, we calculated the binding energies and found that the systems are exothermic. Such energies are not, however, big enough to promote the stick of the molecules to the walls of the devices, which shows the suitability of them for sensing the compounds.

Alzheimer's disease diagnosis in the metaverse

Background and ObjectiveThe importance of early diagnosis of Alzheimer's Disease (AD) is by no means negligible because no cure has been recognized for it rather than some therapies only lowering the pace of progression. The research gap reveals information on the lack of an automatic non-invasive approach toward the diagnosis of AD, in particular with the help of Virtual Reality (VR) and Artificial Intelligence. Another perspective highlights that current VR studies fail to incorporate a comprehensive range of cognitive tests and consider design notes for elderlies, leading to unreliable results. MethodsThis paper tried to design a VR environment suitable for older adults in which three cognitive assessments namely: ADAS-Cog, Montreal Cognitive Assessment (MoCA), and Mini Mental State Exam (MMSE), are implemented. Moreover, a 3DCNN-ML model was trained based on the corresponding cognitive tests and Magnetic Resonance Imaging (MRI) with different modalities using the Alzheimer's Disease Neuroimaging Initiative 2 (ADNI2) dataset and incorporated into the application to predict if the patient suffers from AD. ResultsThe model has undergone three experiments with different modalities (Cognitive Scores (CS), MRI images, and CS-MRI). As for the CS-MRI experiment, the trained model achieved 97%, 95%, 95%, 96%, and 94% in terms of precision, recall, F1-score, AUC, and accuracy respectively. The considered design notes were also assessed using a new proposed questionnaire based on existing ones in terms of user experience, user interface, mechanics, in-env assistance, and VR induced symptoms and effects. The designed VR system provided an acceptable level of user experience, with participants reporting an enjoyable and immersive experience. While there were areas for improvement, including graphics and sound quality, as well as comfort issues with prolonged HMD use, the user interface and mechanics of the system were generally well-received. ConclusionsThe reported results state that our method's comprehensive analysis of 3D brain volumes and incorporation of cognitive scores enabled earlier detection of AD progression, potentially allowing for timely interventions and improved patient outcomes. The proposed integrated system provided us with promising insights for improvements in the diagnosis of AD using technologies.

Disagreement and Progress in Philosophy and in Empirical Sciences

ABSTRACT The fact that philosophy has not made much progress in finding answers to its big questions is often demonstrated with a comparison to natural sciences. Some have recently argued that the state of progress in philosophy is not so different than the sciences: there are many unresolved big questions in the sciences too, and philosophy has made progress on its smaller questions just like the sciences. I argue that this comparison is misleading: the situation in the two fields looks similar only if we focus on unresolved scientific questions that have philosophical import. The sciences have made progress on many questions that are significant but that are not ‘big’ in a philosophical sense, while philosophy has made less progress on its own significant questions. Moreover, ‘smaller’ questions in the sciences are significant in themselves, while smaller questions in philosophy do not have much significance beyond their contribution to the bigger debates. I conclude with brief remarks about what underlies the disparity between the two fields: to understand the slow pace of progress in philosophy we should pay attention to factors that are at the intersection of the nature of philosophical questions, current philosophical methodology and the sociology of academic philosophy.

Multisectoral approaches for sustainable food and nutrition security actions in Ethiopia

Ethiopia has demonstrated a commitment to tackling the high burden of Food and Nutrition Security (FNS) challenges by developing and implementing various policies, strategies, and programs. Despite the efforts, the current FNS situation is of significant public health concern observed by various nutrition indices. The narrative review aimed to appraise multisectoral policy, strategic and programmatic initiatives aimed at addressing FNS challenges and identify entry points for enhancing coherent and integrated FNS approaches. The review involved broad literature research using Preferred Reporting Items for Systematic Reviews and Meta Analyses (PRISMA) guidelines. A total of 1,086 articles and grey literature were identified. Out of this, 47 full-text articles and documents met the selection criteria and were included in this review. Evidence was synthesized in themes to characterize the successes and challenges of key FNS policies, strategies, and programs and identify potential areas of improvement to enhance multisectoral actions and address FNS challenges. Overall, Ethiopia has made considerable progress in enhancing FNS through the implementation of a range of FNS policies, strategies, and programs such as the National Nutrition Program (NNP), Productive Safety Net Program (PSNP), and Agricultural Growth Program (AGP) among others. These efforts have resulted in notable achievements, such as the reduction of the prevalence of undernourishment from 47.0% in 2000 to 24.9% in 2020 and the reduction of stunting among children under five years from 57.4% to 35.2% over the same period. Nonetheless, the pace of progress has been hindered by various contextual and programmatic challenges such as climatic shocks, poverty, high inflation, political instability, limited access to production resources, inadequate coverage of FNS interventions, inadequate financing, and inadequate multisectoral coherence and integration. A comprehensive and integrated multisectoral FNS approach focusing on enhancing commitment, planning, coordination, financing, capacity building, and accountability across sectors and levels is imperative. Strengthening coherence across various sectors, alongside the operationalization of robust multisectoral monitoring and evaluation systems highlighted in the National Food and Nutrition Strategy, constitutes the most suitable entry points for ensuring sustainable advancement in mitigating the prevailing FNS challenges in Ethiopia. Key words: Food and nutrition security, policy and program, multisectoral approaches, Integration, Ethiopia

Evolution of State Scientific and Technical Policy in USSR in Late 1960s

This study conducts a comparative analysis of the state of the scientific and technical complex of the USSR and leading Western countries in the 1960s based on declassified archival materials. It identifies the main trends in science and technology during this period and the factors that led to the lagging behind of the USSR. Previously unpublished archival documents are introduced into scholarly discourse. It is demonstrated that the data sent to the country’s leadership by leading specialists and scientists of the Academy of Sciences indicated the USSR’s lag in several crucial directions determining the pace of scientific and technical progress. Key hindering factors cited by experts included insufficient funding, lack of coordination among various agencies, absence of interaction between the defense and civilian sectors of science, and planning miscalculations. The conclusion is drawn that this list can be supplemented with reasons such as inadequate competence of some top-level government officials, departmental approach, shortage of specialists in key areas, and disregard for recommendations from leading scientists. Meanwhile, trends in the development of the scientific and technical sphere in the USA and other leading countries indicated the establishment of national innovation systems as highly effective mechanisms for accelerating scientific and technical progress.

Brain high-throughput multi-omics data reveal molecular heterogeneity in Alzheimer's disease.

Unbiased data-driven omic approaches are revealing the molecular heterogeneity of Alzheimer disease. Here, we used machine learning approaches to integrate high-throughput transcriptomic, proteomic, metabolomic, and lipidomic profiles with clinical and neuropathological data from multiple human AD cohorts. We discovered 4 unique multimodal molecular profiles, one of them showing signs of poor cognitive function, a faster pace of disease progression, shorter survival with the disease, severe neurodegeneration and astrogliosis, and reduced levels of metabolomic profiles. We found this molecular profile to be present in multiple affected cortical regions associated with higher Braak tau scores and significant dysregulation of synapse-related genes, endocytosis, phagosome, and mTOR signaling pathways altered in AD early and late stages. AD cross-omics data integration with transcriptomic data from an SNCA mouse model revealed an overlapping signature. Furthermore, we leveraged single-nuclei RNA-seq data to identify distinct cell-types that most likely mediate molecular profiles. Lastly, we identified that the multimodal clusters uncovered cerebrospinal fluid biomarkers poised to monitor AD progression and possibly cognition. Our cross-omics analyses provide novel critical molecular insights into AD.

Local Governance and Transformative Initiatives in Kumbo Municipality (Cameroon): 1977-2013

The study examines the pivotal role of local government in fostering transformative initiatives in Kumbo Municipality and their broader developmental impact. Despite numerous studies on local governance, there is limited established information on transformative initiatives. The study employs qualitative methods, including interviews and desk research. While acknowledging certain accomplishments in life-transforming endeavours, the paper contends that these achievements remain quantitatively inadequate relative to the pressing needs of the community, and the pace of progress is notably sluggish. The findings reveal that certain projects have proven ephemeral due to issues in conception, implementation, and maintenance. Additionally, the study reveals a significant gap between the idealized vision of decentralization enshrined in Cameroon's 1996 constitution and the reality on the ground, as local government institutions haven't been effectively empowered. Urgent reforms are imperative for local governance to catalyze positive change, necessitating a steadfast adherence to the autonomy principles articulated in the constitution. Only through such comprehensive reforms can local government evolve into an effective instrument for transformative development in Kumbo Municipality.

Six country vignettes: Strengthening radiotherapy and theranostics

BackgroundFor cancer patient populations worldwide, the synchronous scale-up of diagnostics and treatments yields meaningful gains in survival and quality of life. Among advanced cancer therapies, radiotherapy (RT) and theranostics are key to achieving practical, high-quality, and personalized precision medicine - targeting disease manifestations of individual patients and broad populations, alike. Aiming to learn from one another across different world regions, the six country vignettes presented here depict both challenges and victories in de novo establishment or improvement of RT and theranostics infrastructure. MethodsThe International Atomic Energy Agency (IAEA) convened global RT and theranostics experts from diverse world regions and contexts to identify relevant challenges and report progress in their own six countries: Belgium, Brazil, Costa Rica, Jordan, Mongolia, and South Africa. These accounts are collated, compared, and contrasted herein. ResultsCommon challenges persist which could be more strategically assessed and addressed. A quantifiable discrepancy entails personnel. The estimated radiation oncologists (ROs), nuclear medicine physicians (NMPs), and medical physicists (MPs for RT and nuclear medicine) per million inhabitants in the six collective countries respectively range between 2.69–38.00 ROs, 1.00–26.00 NMPs, and 0.30–3.45 MPs (Table 1), reflecting country-to-country inequities which largely match World Bank country-income stratifications. ConclusionEstablished goals for RT and nuclear medicine advancement worldwide have proven elusive. The pace of progress could be hastened by enhanced approaches such as more sustainably phased implementation; better multinational networking to share lessons learned; routine quality and safety audits; as well as capacity building employing innovative, resource-sparing, cutting-edge technologic approaches.Bodies such as ministries of health, professional societies, and the IAEA shall serve critical roles in convening and coordinating more innovative RT and theranostics translational research, including expanding nuanced global database metrics to inform, reach, and potentiate milestones most meaningfully. Policy SummaryAligned with WHO 25×25 NCDs target; WHA70.12 and WHA76.5 resolutions.

Advancing precision medicine therapeutics for Parkinson’s utilizing a shared quantitative systems pharmacology model and framework

A rich pipeline of therapeutic candidates is advancing for Parkinson’s disease, many of which are targeting the underlying pathophysiology of disease. Emerging evidence grounded in novel genetics and biomarker discoveries is illuminating the true promise of precision medicine-based therapeutic strategies for PD. There has been a growing effort to investigate disease-modifying therapies by designing clinical trials for genetic forms of PD - providing a clearer link to underlying pathophysiology. Leading candidate genes based on human genetic findings that are under active investigation in an array of basic and translational models include SNCA, LRRK2, and GBA. Broad investigations across mechanistic models show that these genes signal through common molecular pathways, namely, autosomal lysosomal pathways, inflammation and mitochondrial function. Therapeutic clinical trials to date based on genetically defined targets have not yet achieved approvals; however, much is to be learned from such pioneering trials. Fundamental principles of drug development that include proof of pharmacology in target tissue are critical to have confidence in advancing such precision-based therapies. There is a clear need for downstream biomarkers of leading candidate therapies to demonstrate proof of mechanism. The current regulatory landscape is poised and primed to support translational modeling strategies for the effective advancement of PD disease-modifying therapeutic candidates. A convergence of rich complex data that is available, the regulatory framework of model informed drug development (MIDD), and the new biological integrated staging frameworks when combined are collectively setting the stage for advancing new approaches in PD to accelerate progress. This perspective review highlights the potential of quantitative systems pharmacology (QSP) modeling in contributing to the field and hastening the pace of progress in advancing collaborative approaches for urgently needed PD disease-modifying treatments.

Management of the intellectual potential of enterprises in the context of globalization transformation: theoretical aspects

Methods. In the course of the research, the methods of scientific abstraction were used –when clarifying the essence of the concepts of «management», «intellectual potential», «globalization transformation»; structural and functional – when distinguishing the components of intellectual potential; analysis and synthesis – when highlighting the impact of globalization on the intellectual potential of enterprises. Results. Management of the intellectual potential of enterprises becomes a necessity in the conditions of rapid development of technologies, increased competition and globalization transformations in the modern world. The ability of enterprises to effectively use and develop their intellectual potential determines their success and resistance to change. Taking into account the rapid pace of technological progress and changing market requirements, the study of the problems of forming a system of managing the intellectual potential of enterprises in the conditions of global transformations is a relevant and important step in the development of success strategies for modern enterprises. Globalization affects all aspects of modern business, changing approaches to management, strategic planning, and enterprise development. In this context, the intellectual potential of enterprises becomes a key resource that must be effectively managed to ensure the competitiveness and sustainability of domestic enterprises. Novelty. The intellectual potential of the enterprise includes knowledge, skills, experience, creative capabilities and other cognitive human resources that are important for achieving strategic goals. Management of intellectual potential involves the implementation of strategic approaches to the selection, development, motivation and retention of personnel, as well as the creation of a favorable organizational and ergonomic environment for creative activity and the development of innovations. Practical value. The intellectual potential of the enterprise in the conditions of globalization requires a systematic approach to management, focusing on strategic planning, human resources development, innovative development and ensuring competitiveness. Implementation of these principles will allow enterprises to effectively use their intellectual potential to achieve strategic goals and successfully adapt to global challenges and opportunities.

Digitised knowledge-based literature reviewing: a tutorial on coding causal and process models as graphs

ABSTRACT Current literature reviewing approaches rely on using keywords to search for relevant articles, reading them, and manually synthesising their knowledge. This approach is inefficient and limits the pace of scientific progress. We have developed a graph-based approach to digitising knowledge to address such issues. The method focuses on coding the core knowledge in publications (i.e. causal or process models) as directed graphs following a well-defined regimen and combining the directed graphs into a labelled property graph database. We provide guidance on coding publications as graphs using a graph query language. An application has been developed to facilitate scholars to code publications as graphs to load into a graph database. We discuss the contributions of the method for literature reviewing.

Інформаційна економіка в системі заходів повоєнного відновлення України

The aim of the article is to determine the role and significance of the information economy in the process of reсovery of Ukraine after the war. Nowadays, information has a significant impact on the modern economy through decision-making, organization of production, allocation of resources and consumption. The article discusses practical examples of the use of information technologies and digital tools, as well as illustrates the impact of these technologies on the rapid and effective recovery of the country’s economy after the war’s end. The article highlights such aspects as the use of information systems to coordinate recovery processes, promoting investment opportunities, supporting small and medium-sized enterprises, developing innovations and startups in the recovery industry sectors, and improving management and resource efficiency. The carried out research allowed to correlate the concept of information economy with the above categories, which made it possible to identify the interdependence or subordination of the digital economy to these aspects. Currently, the issue of the information economy is studied at an inappropriately low level due to the complexity of the topic, which covers a wide range of aspects – from technology and socio-cultural influences to economic policy. It is proved that increasing the level of research on the information economy can contribute to improving the level of economic recovery of the country. It is defined that the rapid pace of technological progress is constantly changing the economic landscape and requires constant updating of knowledge and research methods. Therefore, it is very important to use all available resources that can help in the post-war recovery of the country: reconstruction and revival of infrastructure, the work of humanitarian organizations, attracting investments, managing crisis situations, creating new businesses, etc.

The methodology for diagnosing and managing stress developed by Grivtsova, as an independent method and as part of the preparation for inducing lucid dreams within the framework of the “Bancheko Extended Algorithm,” and its application in the “Global Forecasting System,” serves as a means of transferring transcendental states of consciousness within the “Bancheko-Technology Set”

According to the World Health Organization (WHO), the increase in stressful situations due to the accelerating pace of life, environmental pollution, urbanization, technological progress, and low socio-economic living standards of the population, underpins the rise in neurological diseases. Consequently, one of the crucial tasks in practical psychology and applied psychophysiology is the timely and comprehensive diagnosis and correction of borderline forms of psychological disorders. This study examines the application of stress diagnosis and correction methodologies. The foundation is the wave model of brain electrical activity, observed using electroencephalography, based on an algorithm developed during the experiment. The key hypothesis of the study suggests that by following the developed self-organization system, based on performing simple actions, individuals with disrupted brain electrical activity due to various stressors can avoid pharmacological interventions. It has been shown that the consequences of stress primarily include increased tension in the central nervous system (sympathetic component) and insufficient relaxation (parasympathetic component). During the exacerbation of chronic diseases, the following effects were observed in subjects: poor sleep in patients with gastritis, drowsiness and headaches in individuals with allergies, chronic migraines, and neurological pains in the head on the left side along the trigeminal nerve, meteorological dependence in hypertensive patients, and jaw locking and right-side pain in those with traumatic brain injuries. Correction of these disorders took into account their stress-induced nature. A method for rehabilitating emotional-affective disorders in individuals is proposed to overcome stressful situations. The obtained data suggest that the proposed method of restorative alpha rhythm through neurotraining has high potential in therapeutic work for overcoming and correcting stress in people from various social groups, ages, and professions.

The law code of ChatGPT and artificial intelligence-how to shield plastic surgeons and reconstructive surgeons against Justitia's sword.

Large Language Models (LLMs) like ChatGPT 4 (OpenAI), Claude 2 (Anthropic), and Llama 2 (Meta AI) have emerged as novel technologies to integrate artificial intelligence (AI) into everyday work. LLMs in particular, and AI in general, carry infinite potential to streamline clinical workflows, outsource resource-intensive tasks, and disburden the healthcare system. While a plethora of trials is elucidating the untapped capabilities of this technology, the sheer pace of scientific progress also takes its toll. Legal guidelines hold a key role in regulating upcoming technologies, safeguarding patients, and determining individual and institutional liabilities. To date, there is a paucity of research work delineating the legal regulations of Language Models and AI for clinical scenarios in plastic and reconstructive surgery. This knowledge gap poses the risk of lawsuits and penalties against plastic surgeons. Thus, we aim to provide the first overview of legal guidelines and pitfalls of LLMs and AI for plastic surgeons. Our analysis encompasses models like ChatGPT, Claude 2, and Llama 2, among others, regardless of their closed or open-source nature. Ultimately, this line of research may help clarify the legal responsibilities of plastic surgeons and seamlessly integrate such cutting-edge technologies into the field of PRS.

Забезпечення статичного балансування легкого транспортного літака під час зміни його маршових двигунів

The process of improving the existing aircraft fleet through the development of modifications has become widespread in both domestic and foreign aircraft manufacturing. Under modern conditions, no country in the world is capable of simultaneously modernizing all types of aircraft. Economic and scientific-technical resources are usually directed toward developing those types for which there is the greatest demand. Limiting the number of types in conjunction with developing modifications for existing aircraft significantly contributes to increasing the efficiency of the entire air transport system. Objectively, there are several reasons for modifications in transport-category aircraft. The first reason is associated with increasing discrepancies between technical and economic indicators. The second reason is related to the use of this type of transport in practical human activities, which is progressively expanding. The third reason is the influence of time. Creating modifications allows to a certain extent to resolve the contradiction between the deadlines for creating complex modern technology, which have increased, and the accelerated pace of scientific and technological progress. The subject of this study is the process of ensuring static balancing of a light transport aircraft during the replacement of its propulsion engines. The goal is to develop models for ensuring the static balancing of a light transport aircraft (LTA) in conditions involving changes in its propulsion engines and reconfiguring the lifting surface system while minimizing the aerodynamic quality costs for balancing changes in the LTA. Tasks: Determine the process of ensuring static balancing of transport category aircraft considering the coefficient of static stability degree; peculiarities of applying this coefficient in balancing a LTA; establish the correlation between the coefficient of static stability degree and the aerodynamic polar of a balanced LTA; quantitatively evaluate and minimize the losses of wing aerodynamic quality to achieve static balancing of the LTA. The obtained scientific results enable both the balancing of a LTA and the minimization of aerodynamic quality losses. Conclusions: Based on the obtained dependencies and their numerical analysis, it has been established that when replacing the engines of a light transport aircraft with a payload capacity of 9.1 tons, the coefficient of static stability of 0.15 complies with the requirements of the Airworthiness Standards for Transport Category Aircraft. During the numerical analysis, it was also determined that for such an aircraft, the aerodynamic quality losses amounted to 7%–9%, which is acceptable for the considered aircraft type.

Match Date-to-Start Date: Engaging Fellows Pre-Training

Background: The accelerating pace of progress in hematology and medical oncology is stressing an already packed curriculum. Finding time for innovative curriculum-design or to improve current curricula is challenging. We found no data in the literature about using the pre-training Match Date-to-Start Date period effectively for any educational activities of fellowship training in any discipline in the USA. Our aim was to target fellows matched to our program and see if the six months from Match Date-to-Start Date could be meaningfully utilized without interfering with their pre-training workload and activities. Method: Within four weeks following their match date, the four incoming fellows received a questionnaire. The questionnaire targeted six key research variables, encompassing their field of interest, preferred type of research, desired mentorship, self-assessment of current skills, and the amount of time they were willing to dedicate per week to any fellowship program-related recommended reading until the official start date of July 1. We sent each fellow one email each week with one or two PDFs as educational material. Each fellow received a list of potential mentors with mentor-CVs and information about each mentor's area of focus. Each fellow could choose up to two mentors to interview with. Using their responses as a guide, we arranged 30-minute video meetings between the fellows and their choice of potential mentors. Prior to the start-date, we administered a questionnaire to evaluate the effectiveness and impact of this process. Results: A total of 4 fellows were given a questionnaire post-match to gather their interests, skill set and time willing to dedicate to research. The responses were received in less than 24 hours (table 1). 2/4 chose to focus their research and scholarly activities in medical oncology/solid tumors and the other two chose to focus on malignant hematology. ¾ did not have a chosen mentor already. For their self-reported skills, 75% felt confident in abstract writing and poster presentation while only 50% felt confident in manuscript and grant writing skills. All 4 of them were willing to Commit 1-3 hours match date to start date on items related to research and scholarly activity. By April, each of the four fellows had been successfully paired with a mentor of their choice. At the end of the study period, the pre-start-date questionnaire demonstrated that all 4 fellows strongly agreed that that this Match Date-to-Start Date program was helpful, was not disruptive, and liked the process of choosing their mentor prior to starting their training. Conclusion: This program was designed as a pioneering initiative to optimize the time between the match date and the start date of fellowship training for incoming hematology oncology fellows. Its primary objectives were met: to facilitate a seamless transition for fellows, providing them with valuable opportunities to connect with mentors who share their research interests, enabling them to make informed choices. Additionally, we have implemented a semi-annual follow-up system to document the progress, challenges faced, and gather feedback on how to enhance and refine the program.