bluuebunny/crossref_metadata_2025_split huggingface dataset:
Инвестиции и развитие человеческого капитала в условиях цифровизации региональной экономики
Authors: Д.С. Лукьянченко 
Published: November 2024

Статья посвящена рассмотрению актуальных вопросов, связанных с развитием человеческого капитала в условиях цифровизации региональной экономики и выработкой соответствующей инвестиционной политики. В ходе исследования обозначенной проблематики отмечена сущность человеческого капитала и его новые измерения, вызванные цифровизацией современного общества. Также выделены наиболее востребованные навыки и компетенции, необходимые людям в эпоху цифровых преобразований. Особый акцент сделан на том, что развитие этих навыков требует разработки действенной и эффективной инвестиционной политики, которая должна поддерживаться на государственном и региональном уровнях. В данном контексте обозначены сферы внимания государственной политики в процессе развития человеческого капитала. Кроме того, формализован алгоритмический цикл инвестирования в развитие человеческого капитала. Отдельно выделены результаты и ориентиры формирования цифрового человеческого капитала для стимулирования регионального роста.
The article is devoted to the consideration of topical issues related to the development of human capital in the context of digitalization of the regional economy and the development of appropriate investment policy. In the course of the study of the identified problems, the essence of human capital and its new dimensions caused by the digitalization of modern society are noted. The most popular skills and competencies necessary for people in the era of digital transformation are also highlighted. Special emphasis is placed on the fact that the development of these skills requires the development of an efficient and effective investment policy, which should be supported at the state and regional levels. In this context, the areas of attention of public policy in the process of human capital development are outlined. In addition, the algorithmic cycle of investment in human capital development is formalized. The results and benchmarks for the formation of digital human capital to stimulate regional growth are highlighted separately.
Модель оценки экономической безопасности в эпоху цифровой трансформации экономики
Authors: С.П. Луцкан 
Published: November 2024

В статье рассматриваются существующие подходы к оценке экономической безопасности предприятий в условиях цифровизации и цифровой трансформации. Проведен сравнительный анализ существующих методик, выявлены их сильные и слабые стороны. Выделены как традиционные критерии и показатели мониторинга экономической безопасности, так и новые, отражающие специфику цифровых технологий, такие как устойчивость к кибератакам, репутационные риски и санкционные угрозы. Предложена интеграционная модель, отражающая параметры оценки текущего уровня экономической безопасности предприятия с учетом выявленных критериев. Представлены рекомендации по внедрению данной модели на предприятиях различных секторов экономики.
This article examines current approaches to assessing the economic security of enterprises in the context of digitalization and digital transformation. A comparative analysis of existing methodologies is conducted, highlighting their strengths and weaknesses. Both traditional criteria and indicators for monitoring economic security are outlined, alongside new criteria that address the specific challenges posed by digital technologies, such as resilience to cyberattacks, reputational risks, and sanction-related threats. Based on the findings, an integrative model is proposed, which incorporates key parameters for evaluating the current level of economic security in enterprises, accounting for identified criteria. Finally, recommendations are provided for implementing this model across enterprises in various economic sectors.
Развитие внешнеэкономической деятельности трансграничных государств в системе международных транспортных коридоров
Authors: И.В. Ковалева 
Published: November 2024

В статье рассмотрены транспортные международные логистические коридоры, проанализирована торговая деятельность Китая и России. Определено, что транспортная логистика как отрасль играет роль распределения ресурсов, повышения мобильности населения, улучшения жизни, соединяя отдаленные регионы страны и обеспечивая, тем самым, эффективное функционирование отраслей. Оценены развитие мультимодальных перевозок транспортных логистических коридоров, создание интеллектуальной и экологичной транспортной логистической системы; переход к экологичной транспортной системе и на альтернативные виды топлива (СПГ) в системе международных транспортных логистических коридоров Китай-Россия.
The article considers international transport logistics corridors. The trade activities of China and Russia are analyzed. It is determined that transport logistics as an industry plays the role of resource distribution, increasing population mobility, improving life, connecting remote regions of the country and thereby ensuring the effective functioning of industries. The development of multimodal transportation of transport logistics corridors, the creation of an intelligent and environmentally friendly transport logistics system are assessed; transition to an environmentally friendly transport system and alternative fuels (LNG in the system of international transport logistics corridors China-Russia.
“Lung Cancer Prediction Using Machine Learning: A Comprehensive Study”
Authors: Ms. Aishwarya Mandhare  , Ms. Kritika Chaudhary  , Ms. Unnati Bodkhe  , Ms. Antara Bhattacharya  , Ms. Sneha Indurkar  
Published: November 2024

Lung cancer remains one of the leading causes of cancer-related deaths worldwide, largely due to the fact that it is often diagnosed at a late stage.	This research aims to develop an automated system for early detection of lung cancer using machine learning techniques. By utilizing the Lungs CT Scan Dataset from Kaggle, we implement advanced image processing methods and convolutional neural networks (CNN) to accurately identify and classify lung nodules as either benign or malignant. Our methodology includes important data preprocessing steps, such as normalization and augmentation, to enhance the performance of the model.” “The results of our study show a significant improvement in detection accuracy compared to traditional diagnostic methods, with our model achieving a high accuracy rate. Additionally, our system has the potential to reduce diagnostic errors, increase early detection rates, and offer a cost-effective screening solution. By integrating this automated tool into clinical workflows, we aim to provide radiologists with reliable AI-generated insights, ultimately improving patient outcomes and easing the burden on healthcare systems.” This study highlights the transformative potential of machine learning in medical diagnostics and emphasizes the importance of continued research to further optimize these technologies for clinical use..
Assessing the Performance of Primary School Information Management Systems (PReM) in Data Provision: A Focus on Two Selected Public Primary Schools at Temeke Municipal Council, Dar es Salaam, Tanzania
Authors: Mmole Linus J. , Banele Shima D. 
Published: November 2024

The study aimed to assess the performance of Primary School Information Management Systems (PReM) in data provision at Dar es Salaam city. Specifically, the study aimed to determine the school-based requirements to deploy PReM for students - data collection, examine the impacts of PReM utilization, and explore stakeholders feeling on the use of PReM in education aspects from Mtoni Kijichi and Bwawani Primary School at Temeke Municipality, This study was guided by Information Systems Theory and Data Quality Theory. The study adopted a cross-sectional design collecting quantitative data through surveys and questionnaires. Interview and documentary review were utilized to collect the qualitative data. The study adopted non-probability and purposive sampling techniques for selecting 399 respondents (School pupils, parents, academic teachers, Ward Executive Officers, and Examination Administration and Certification Directorate staff) from the total population within the study area. Descriptive statistics (frequency), thematic and multiple linear regression models were used for analysis. Research findings from specific objective one portray that hardware with high capability has been purchased, stakeholder involvement before launching any information management system is important, and the implementation of the system must comply with regulations and pilot conducting before full implementation. Moreover, on the impacts of PReM utilization towards accuracy data provision, multiple linear regression results divulge that the independent variables (reduced workload, time savings, improved monitoring, data-driven interventions, enhanced learning outcomes, data accuracy as well as security and privacy) lead the positive relationship with PReM performance. Furthermore, respondents had positive feelings concerning the use of PReM in education aspects. The study conclude that availability of adequate hardware (Computers, tablets, and servers), reliable internet connectivity, robust network infrastructure, and compatibility with existing school management systems are the main school-based requirements for PReM deployment in student data collection. The study recommended that National Examinations Council of Tanzania (NECTA) in collaboration with MoEST had to ensure improved PReM infrastructure and training programs for smooth integration and better school management and performance.
Effect of Self-Esteem of Over-Age Learners on their Academic Achievement in Public Secondary Schools of Butula Sub County, Kenya
Authors: Wasioya Elizabeth N. , Poipoi Moses W. , Ogutu Joel J. P. 
Published: November 2024

Just like food, education is a basic need for everyone in Kenya. With introduction of free primary in 2003 and subsequently free day secondary education in 2008 in Kenya there has been an increased urge for education by over-age leaners in schools. Academic achievement has remained low in in public secondary schools in Butula Sub County despite the efforts made by the government to make it better for every learner. Over-age learners are among those who contribute to the poor academic achievement in public secondary schools in Butula Sub County. The purpose of this study was to establish the effect of self-esteem on academic achievement of over-age learners in public secondary schools of Butula Sub County. The study employed Walberg’s theory of Academic Achievement and descriptive research design. The target population was 2306 form four students and 54 teachers from 27 public secondary schools. 321 over-age learners and 10 teachers from 5 secondary schools gave their views in this study. Stratified random sampling, simple random sampling and purposive random sampling were used to sample schools, students and teachers respectively. Questionnaire and interview schedules were used to collect data. Descriptive statistics such as percentages, mean, median, standard and Analysis of variance, (ANOVA) for inferential statistics were used to analyze data. the findings reveal that (58.6%) of over-age learners agreed that they feel useless about their academic achievement at times, (71.7%) disagreed to the statement ‘I feel I am a person worthy in my academic achievement, at least on an equal plane with others’. ANOVA indicated a significant effect of over-age learners’ self-esteem on their academic achievement; F (18, 259) = 1.771, P = 0.028. The findings of this study concluded that there is a statistically positive effect of self-esteem on academic achievement of over-age learners. It was recommended that there is need to explore the use of guidance and counseling as interventions to inspire and motivate learners into appreciating self-worth so as to nurture strong self-esteem and academic achievement.
Factors Affecting Employee Turnover in Local Government Authorities in Tanzania: A Case of Dar es Salaam City Council
Authors: Mboya Gaudensia John , Mwakalila Enock 
Published: November 2024

This study assessed the factors affecting employee turnover in local government authorities (LGAs) in Dar es Salaam City Council, Tanzania. Specifically, the study sought to ascertain how motivational factors affect employee turnover in the Dar es Salaam City Council, to assess how hygiene factors affect employee turnover in the Dar es Salaam City Council, and to establish mitigation strategies to reduce employee turnover in the Dar es Salaam City Council. A combination of qualitative and quantitative research methods was employed, utilizing a case study design to gain a comprehensive understanding of the phenomena. Primary data were collected through a survey method using a questionnaire and interview guide, involving 129 respondents who were randomly and purposefully selected from the Dar es Salaam City Council. The study was guided by two theoretical frameworks: the Existence, Relatedness, and Growth (ERG) Theory and the Conservation of Resources (COR) Theory. The analysis of the questionnaire data was conducted descriptively using the Statistical Package for Social Science (SPSS), with frequencies and percentages presented in tables, while the interview data were analyzed through content analysis. The findings revealed several factors contributing to employee turnover in LGAs, including low salaries and benefits, poor leadership and supervision, limited opportunities for training and development, delayed promotions and re-categorization, a shortage of working tools and infrastructure, job dissatisfaction, lack of incentives, and late or absent payments and other monetary rewards. In conclusion, the study recommends that the management of LGAs in Tanzania, particularly the Dar es Salaam City Council, develop and implement policies aimed at improving the work environment to enhance employee retention.
Exploring the Practice of Training Needs Assessment towards Improving Quality Public Service Delivery: A Case of Tanzania Port Authority
Authors: Bunduki Zaytuni I. , Rutenge Mary Mohamed 
Published: November 2024

This study was confined to explore and analyze the practice of Training Needs Assessment (TNA) within Tanzania Port Authority. Specifically, the study sought to assess the current practice of Training Needs Assessment (TNA) towards improving quality public service delivery at TPA, to identify the challenges in conducting effective TNA in the organization and to establish whether training that staff attend are aligned with the TNA for quality public service delivery improvement while the study was guided by McGhee and Thayer Model. The study used descriptive research design while simple random and purposive sampling technique was used to select 67 respondents form the target population of 147 staff. On the other hand, data were collected through questionnaire and interview and data was analyzed using descriptive and content analysis respectively. The study found that the organization conducted TNA and that the employees were involved during the process. Moreover, the findings reveal that the TNA does not effectively identify the employees’ skills gaps. The findings further showed that the major challenge that hinder effective TNA including lack of resources (time, budget). The study also indicated that training programs attended by staff were based on TNA results and that the skills acquired from training were relevant to job requirements, The study concluded that there is the practice of TNA at TPA despite the challenge of inadequate time. Therefore, the study recommends that allocating sufficient time and budgetary resources is crucial for supporting effective TNA activities.
The Impact of Political Interference in Decision Making on The Performance of Local Government Authorities (LGAS) in Tanzania: Case of Temeke Municipal Council in Tanzania
Authors: Mtisho Grace , Rutenge Mary Mohamed 
Published: November 2024

This study assesses the impact of political interferences in decision-making on the performance of one local government authority in Tanzania, Temeke Municipal Council. Specifically, this research had two aims: the first one was to identify areas where political interference occurred most and the second was to assess the impact of political interferences on the social services delivery performance. In pursuit of the Wilson’s Orthodox theory in realization of classical models, this study adopted a case study research design and quantitative research approach. The study population was 358, comprising administrators and politicians. A simple random sampling method was used to select 97 administrators in the sample, while a purposive sampling method was used to select 1 Director and 91 politicians in the sample of 189 respondents. The data was collected through questionnaires and analysed quantitatively using descriptive analysis, Pearson’s Correlation and multiple regression analyses with the help of SPSS software. The study found that the political interference was statistically significant (with p ≤ 0.05) in hiring of technical experts, revenue collection & expenditure together with developing social services, and taking disciplinary measures. The research also found that the political interference in the decisions of local government namely budgeting and budget allocation, revenue collection and expenditure, developing social services, taking disciplinary measures, and reporting positively influence social service delivery at the Municipality. There were exceptions when it comes to the political interference in the hiring of technical experts as the results show that it negatively affects the social service delivery of the local government. The research concluded that the interference or rather the interaction between the politicians and administrators in the local governments should be guided by laws so as to tap the benefits which lead to the advancement of Temeke Municipality.
Evaluation of population genetics of Moringa oleifera Provenances from Coastal Kenya using Single Nucleotide Polymorphism (SNPs) markers
Authors: Ondieki Sarah Kwamboka , Korir Jackson C. , Hunja Carol W. 
Published: November 2024

Population genetics analysis is a prerequisite to understanding how and why genotypes and allele frequencies and change over time between and within populations. Consequently, it offers insight into the process of evolutionary change and makes it possible to map variants linked to traits that differ among populations. In the present study, Single Nucleotide Polymorphisms (SNPs) markers were utilized to study the genetic characterization of 17 provenances from the Coast region of Kenya. 164 genotypes of Moringa oleifera were selected from 17 populations and genome sequencing undertaken utilizing genotyping by sequencing (GBS). Identification of polymorphisms (SNP Calling) in the selected genotypes and population genetic studies were carried out. SNP calling was done by Illumina’s SNP caller algorithm in the CASAVA software. 20,921 SNPs were called with an average call rate of 0.82. Average polymorphsm content (PIC) for the SNPs was 0.24 and reproducibility was 0.98. A phenetic tree was constructed using a neighbor-joining approach using DArT R. For the population genetics analysis, F statistic (Fst) utilising the functions StAMPP package in DArT R was performed whereby Gede and Samburu exhibited the least heterozygosity/correlation with a value of 0.0003 whereas Pwani University and Samburu had the highest correlation of genes at 0.37. Euclidean was used as a measure distance, and the average distance between the populations was 33.024. The molecular variance analysis (AMOVA) described a lower, 2.55%, variation within the population and 2.73% among the populations. The high similarity between the genotypes could be attributed to the Moringa plants in the various provenances having the same ancestry. This study may help identify links between gene allelic forms and phenotypes, allowing the alleles to be connected to desired characteristics such as rapid growth and high yield (functional analysis), because of the high frequency of SNPs and their role as a source of allele variations.
Communication Strategies Employed By 103.9 MMUST Fm to Capture Listeners’ Attention Regarding COVID-19 Pandemic in Lurambi Sub-County, Kenya
Authors: Adhiambo Beryl Teresa , Anyonje Lydia , Kabaji Egara 
Published: November 2024

The COVID-19 pandemic occurred so unexpectedly and spread so fast that the media had to play its role of informing and educating the public about it. The people were in panic and the Kenyan government invested in strategies to address this like the daily speeches and text statements on COVID-19 through the available media for the masses. This saw media stations such as MMUST FM change tact to improve on their efficiency and thus new strategies of communication were adopted alongside the existing ones. The current study seeks to investigate the communication strategies adopted by MMUST FM from 2020 to 2021 to capture the attention of residents of Lurambi Sub-County regarding COVID-19 messages. The study was guided by the Framing Theory of mass communication. It adopted the descriptive survey research design where a mixed-method approach was utilized to collect, analyze and present data. The participants were 115 residents of Lurambi Sub-County as selected using Krejcie and Morgan’s formula with a confidence level of 95% for a population of 188,212 people. In addition, 6 key informants comprising 4 MMUST FM producers and 2 COVID-19 health experts interviewed by the station at the time were purposively selected for in-depth interviews. Data was collected using questionnaires from the residents and interview guides from the MMUST FM producers and the COVID-19 health experts. The validity of the qualitative data was achieved by establishing trustworthiness while the validity of the quantitative data was calculated using Cronbach Alpha Co-efficient calculations. A descriptive analysis of the quantitative data while a thematic analysis of the qualitative data was presented. From the study, we also realize that the station used communication strategies similar to the other media stations during other pandemics such as message consistency, honesty, the language used and how humanity and empathy were communicated while advocating for behavior change. However, the study reveals that the strategy that stood out with 103.9 MMUST FM is the radio program that was slotted to address the issues about COVID-19 when the pandemic was at its peak. This among the existing strategies helped the station successfully broadcast on the COVID-19 pandemic.