bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Effects of Customer Relationship Management on Customer retention in Tanzania Airline industry
Authors: Mtamike Siraji 
Published: November 2024

Abstract

This study investigated the effect of Customer Relationship Management (CRM) on customer retention in the Tanzanian airline industry, focusing on the influence customer satisfaction and customer loyalty. The study adopted a theoretical framework based on Relationship Marketing Theory to understand the relationship between CRM and customer retention. A cross-sectional research design was employed, collecting data from a diverse sample of Tanzanian airline passengers using a combination of simple random and purposive sampling techniques. A total of 251 airline passengers and 10 supervisors from airline companies and the Tanzania Airport Authority participated in the study. Data collection was conducted through structured questionnaires and interview for qualitative data. The data was analyzed using Descriptive Statistics and Linear Regression Analysis in IBM SPSS Statistics 27, along with Thematic Analysis for qualitative data. The study's findings indicated that customer loyalty (Beta = 0.588, p < 0.001), and customer satisfaction (Beta = 0.229, p = 0.001) significantly influence customer retention. The findings suggest that while customers perceive CRM efforts positively, improvements are needed in trust, commitment, and pricing strategies. The study provides valuable insights for Tanzanian airlines to enhance service delivery and retain customers, contributing to the body of knowledge on CRM and customer retention in the airline industry.
The experiences of young people with lived or living experience of suicide of being involved as collaborators or participants in suicide research
Authors: Webb Marianne , Kenny Bridget , Dalton Alex , Simmons Magenta , Bendall Sarah , Robinson Jo 
Published: November 2024

Abstract

Objective: Conducting youth suicide research comes with inherent challenges related to topic and age sensitivities. Despite this, there is a paucity of knowledge about how young people experience their research involvement. This study aimed to explore the experiences of young people with lived or living experience of suicide of being involved as collaborators or participants in suicide research.
Method: In this qualitative study, 13 semi-structured interviews were conducted via video software between 11th August and 19th November 2021. Participants included those aged 18-29 years, who had lived or living experiences of suicide, had been involved in suicide research, and were living in United Kingdom, Australia, and Canada. Eight participants had previously been involved in co-production and five as participants. Interviews were transcribed verbatim, and reflexive thematic analysis was used to generate themes.
Results: Three themes were generated: 1. Young people want – but don’t always receive - support that is individualised, multi-faceted and actionable; 2. The relationship with the researcher drives the experience; and 3. Using traumatic experiences to create positive and meaningful change.
Conclusion: For young people with lived and living experience of suicide to be safely and effectively in suicide research, individual support that is nuanced, dynamic, and tailored is required, regardless of the type of research involvement.
Lean in Healthcare Sector in organizations with limited resources: Tools and Success Factors – A Systematic Review of Literature
Authors: Barbosa Sofia Nair , Maldonado Isabel , Lima Antonieta , Silva Amélia 
Published: November 2024

Abstract

Lean methodology influences organizational culture, necessitating protocol and procedure modifications and fostering inter-staff cooperation. Thus, this study aims to analyze international publications ranking with high scientific metrics (Q1 and Q2) on the lean methodology in healthcare, during the years.
The study employs a systematic literature review, utilizing scientific databases to gather relevant articles and applying bibliometric analysis to assess scientific performance, collaborations, research specialties, and themes in the field of Lean in healthcare. The final sample comprises 103 articles after applying exclusion criteria. Quantitative bibliometric analysis is conducted using R-Studio.
The findings suggest that, despite the challenges, Lean offers a viable pathway to improving operational efficiency and service quality in healthcare institutions with limited resources. The review emphasizes that successful Lean implementation in healthcare requires not only adopting specific tools and techniques but also cultivating an organizational culture supportive of continuous improvement. Organizational commitment, effective leadership, and integration of technology are critical for sustaining improvements. Moreover, the research advocates for future studies focusing on adapting Lean methodology to specific healthcare sub-sectors, evaluating long-term sustainability, and examining the role of cultural adaptation in diverse healthcare settings.
The study contributes valuable insights into Lean's potential to enhance healthcare services and offers recommendations for successful adoption. Theoretical implications enrich the understanding of lean management in healthcare by providing practical suggestions for modification and application.
Potential Cardiovascular Disease Treatment by Natural Drugs Targeting the HIF-1α Factor and its Pathway
Authors: Gao Weihan , Wang Danyang , Shi Yanmei , Sun Yu , Deng Jinlan , Song Xiayinan , Li Jie , Zhang Min 
Published: November 2024

Abstract:
Cardiovascular diseases (CVDs) remain a key contributor to global morbidity and
mortality. Being a vital regulator of hypoxia, hypoxia-inducible factor-1α (HIF-1α) is a crucial
player in CVD treatment. Recently, increasing attention has been paid to the effect of natural
drugs on CVDs. According to some studies, HIF-1α is a potential target for CVD treatment in
traditional Chinese medicine. In this study, we describe the mechanism underlying the regulatory
role of HIF-1α in CVDs and summarize 30 natural drugs and 3 formulations for CVD treatment
through HIF-1α and its signaling pathway. The study provides new ideas for CVD prevention
and treatment.
miR-144/451: A Regulatory Role in Inflammation
Authors: Zhu Jiahao , Feng Yanhua , Zhang Lingxiao , Pang Xialing , He Sheng , Fang Lei 
Published: November 2024

Background:
Inflammation is the natural defense mechanism of the body in
response to injury, infection, or other stimuli. Excessive or persistent inflammatory
responses can lead to the development of inflammatory diseases. Therefore,
elucidating the regulatory mechanisms of inflammatory cells is crucial for
understanding the pathogenesis of such diseases and devising novel therapeutic
approaches. Moreover, miR-144/451 plays an important role in erythroid maturity and
tumour development. Herein, we have reviewed the regulatory role of miR-144/451 in
inflammation.

Methods:
Papers on miR-144, miR-451, and inflammation were retrieved from
PubMed and Web of Science to be analysed and summarised.

Results:
miR-144/451 plays a significant role in modulating inflammatory responses.
Pro- and anti-inflammatory gene transcription is regulated by miR-144/451 binding to
the 3′ untranslated regions. Studies have shown that miR-451 inhibits the activation of
various inflammatory cells, including macrophages, neutrophils, and T lymphocytes,
thereby reducing the release of inflammatory mediators. However, miR-144 expression
varies in different inflammatory diseases. miR-144 expression is downregulated in
macrophages after induction by lipopolysaccharide, cysteine, or Mycobacterium
tuberculosis, which promotes the secretion of inflammatory mediators; nonetheless,
miR-144-3p overexpression in macrophages can aggravate atherosclerosis.
Meanwhile, miR-144 overexpression prevents disruption of the lung endothelial cell
barrier, whereas it exacerbates endothelial cell injury in Crohn’s disease.

Conclusion:
miR-144/451 may serve as a potential target for the treatment of
inflammatory diseases.
Identifying the Role of Oligodendrocyte Genes in the Diagnosis of Alzheimer's Disease through Machine Learning and Bioinformatics Analysis
Authors: Yan Chen , Chen Li , Yinhui Yao , Yazhen Shang 
Published: November 2024

Background:
Due to the heterogeneity of Alzheimer's disease (AD), the underlying
pathogenic mechanisms have not been fully elucidated. Oligodendrocyte (OL) damage and myelin
degeneration are prevalent features of AD pathology. When oligodendrocytes are subjected to
amyloid-beta (Aβ) toxicity, this damage compromises the structural integrity of myelin and results
in a reduction of myelin-associated proteins. Consequently, the impairment of myelin integrity
leads to a slowdown or cessation of nerve signal transmission, ultimately contributing to cognitive
dysfunction and the progression of AD. Consequently, elucidating the relationship between oligodendrocytes
and AD from the perspective of oligodendrocytes is instrumental in advancing our understanding
of the pathogenesis of AD.

Objective:
Here, an attempt is made in this study to identify oligodendrocyte-related biomarkers
of AD.

Methods:
AD datasets were obtained from the Gene Expression Omnibus database and used for
consensus clustering to identify subclasses. Hub genes were identified through differentially expressed
genes (DEGs) analysis and oligodendrocyte gene set enrichment. Immune infiltration analysis
was conducted using the CIBERSORT method. Signature genes were identified using machine
learning algorithms and logistic regression. A diagnostic nomogram for predicting AD was
developed and validated using external datasets and an AD model. A small molecular compound
was identified using the eXtreme Sum algorithm.

Results:
46 genes were found to be significantly correlated with AD progression by examining the
overlap between DEGs and oligodendrocyte genes. Two subclasses of AD, Cluster A, and Cluster
B, were identified, and 9 signature genes were identified using a machine learning algorithm to
construct a nomogram. Enrichment analysis showed that 9 genes are involved in apoptosis and
neuronal development. Immune infiltration analysis found differences in immune cell presence between
AD patients and controls. External datasets and RT-qPCR verification showed variation in
signature genes between AD patients and controls. Five small molecular compounds were predicted.

Conclusion:
It was found that 9 oligodendrocyte genes can be used to create a diagnostic tool for
AD, which could help in developing new treatments.
Exploring the Impact of Chitosan-Based Nanoparticles in Cancer Targeted Drug Delivery: A Bibliometric Review
Authors: Afridi Muhammad Faisal , Khan Junaid Ahmed , Fatimi Ahmed , Nazir Farooq , Javed Usman , Quraishi Khurrum Shehzad 
Published: November 2024

Abstract:
Over the last two decades, there has been a considerable increase in the usage of chitosan nanoparticles (CSNPs) for drug delivery applications in cancer treatment. However, a comprehensive bibliometric analysis of this emerging field is lacking. The current analysis pre-sents a detailed bibliometric assessment of the research evolution and trends in CSNPs for can-cer targeted-drug delivery from 2000 to 2022. A total of 626 publications from the Web of Science Core Collection (WoSCC) database were evaluated using VOSviewer, Bibliometrix, and MS Excel. An in-depth exploration was carried out to find publication trends, the most productive authors, affiliations, countries, and journals as well as the highly cited publications within this particular research domain. Ick Chan Kwon was the most prominent author who made significant contributions to this field. China was the leading country in terms of research on CSNPs for cancer-targeted drug delivery, followed by India and Iran. Concerning the total number of publications, The International Journal of Biological Macromolecules excelled as the leading journal in this research area. Furthermore, the research trends and hotspots were also identified through the analysis of the most commonly used keywords by the authors. Our analysis highlights the growing research interest in CSNPs for cancer drug delivery, emphasiz-ing the need for further exploration to unlock their full potential.
The Systemic Immune Inflammation Index as a Novel Predictive Biomarker for Contrast-Induced Acute Kidney Injury Risk Following Percutaneous Coronary Intervention: A Meta-Analysis of Cohort Studies
Authors: Zhang Yongqiang , Xie Yong , Zhang Chunyu , Wang Jianglin , Liao Bin , Feng Jian 
Published: November 2024

Background:
Contrast-induced Acute Kidney Injury (CI-AKI) frequently occurs as a
complication following percutaneous coronary intervention (PCI), making the identification of highrisk
patients challenging. While the systemic immune inflammation index (SII) might aid in predicting
CI-AKI, the current evidence remains insufficient.

Methods:
We conducted a systematic literature search using PubMed, Web of Science, Embase, and
the Cochrane Library, with a cut-off date of 3/20/2024. We included observational studies that examined
the predictive value of SII for the risk of CI-AKI.

Results:
This meta-analysis encompassed 8 studies with a combined total of 6301 participants. Results
showed pooled sensitivity and specificity of 0.73 (95% CI 0.69-0.76) and 0.68 (95% CI 0.57-
0.77), respectively. The sROC curve analysis indicated an AUC of 0.74 (95% CI 0.70-0.78). The risk
of publication bias was low (p = 0.18).

Conclusion:
The results of this study suggest that SII has a relatively high sensitivity and could function
as a biomarker for the prediction of CI-AKI risk in people receiving PCI treatment.
A Method of Enhancing Heterogeneous Graph Representation for Predicting the Associations between lncRNAs and Diseases
Authors: Yao Dengju , Wu Yuehu , Zhan Xiaojuan 
Published: November 2024

Background:
Long non-coding RNAs (lncRNAs) are a category of more extended RNA
strands that lack protein-coding abilities. Although they are not involved in the translation of proteins,
studies have shown that they play essential regulatory functions in cells, regulating gene expression
and cell biological processes. However, it is both costly and inefficient to determine the
associations between lncRNAs and diseases through biological experiments. Therefore, there is an
urgent need to develop convenient and fast computational methods to predict lncRNA-disease associations
(LDAs) more efficiently.

Objective:
Predicting disease-associated lncRNAs can help explore the mechanisms of action of
lncRNAs in diseases, and this is crucial for early intervention and treatment of diseases.

Methods:
In this paper, we propose an enhanced heterogeneous graph representation method for
predicting LDAs, named GCGALDA. The GCGALDA first obtains the topological structure features
of nodes by a biased random walk. Based on this, the neighboring nodes of a node are
weighted using the attention mechanism to further mine the semantic association relationships between
nodes in the graph data. Then, a graph convolution network (GCN) is used to transfer the
neighborhood features of the node to the central node and combine them with the node's features so
that the final node representation contains not only structural information but also semantic association
information. Finally, the association score between lncRNA and disease is obtained by multilayer
perceptron (MLP).

Results:
As evidenced by the experimental findings, the GCGALDA outperforms other advanced
models in terms of prediction accuracy on openly accessible databases. In addition, case studies on
several human diseases further confirm the predictive ability of the GCGALDA.

result:
As evidenced by the experimental findings, GCGALDA outperforms other advanced models regarding prediction accuracy on openly accessible databases. In addition, case studies on several human diseases further confirm the predictive ability of GCGALDA.

Conclusion:
In conclusion, the proposed GCGALDA model extracts multi-perspective features,
such as topology, semantic association, and node attributes, obtains high-quality heterogeneous
graph node representations, and effectively improves the performance of the LDA prediction model.
Research Progress on Industrial Robots: A Review
Authors: Shinde Vilas B. , Pawar Padmakar J. , Gadakh Vijay S, 
Published: November 2024

Abstract:
The success of the fourth and upcoming fifth industrial resolution lies majorly in automation
and robotics. Industrial robots perform various manufacturing-related tasks due to their autonomy,
flexibility, and autonomous work in a complex environment. Applications including drilling,
material transfer, loading and unloading machines, processing, assembling, and inspection,
welding, spray painting, machining, and so on are common. The present work comprehensively
summarizes all the pertinent work related to the industrial robot, such as inverse kinematics problems,
robot design, programming, scheduling, motion planning, and trajectory planning. In addition,
the present work discusses various optimization algorithms employed in industrial robots. Furthermore,
several recommendations for future research have been addressed.
Effects of Alcohol on EEG Activity: A Systematic Review Focused on Sex-Related Differences in Youth
Authors: Elliott Adrian S. , Moreno-Fernández Roman D. , Sampedro-Piquero Patricia 
Published: November 2024

Background:
Most electroencephalographic (EEG) investigations on alcohol have focused
on adults, and scarce data is available about the potential of EEG measurements to detect young people
at high-risk, as well as, to understand possible sex differences in alcohol impact on the brain.

Objective:
This systematic review aimed to explore sex-related differences in EEG among young people
with alcohol misuse, alcohol use disorder (AUD), and offspring of families with AUD.

Methods:
A systematic review of the literature was conducted following PRISMA guidelines. Review
protocol was registered in Prospero (ID: CRD42024511471). After article selection process and quality
assessment, 25 studies were included in our review. The search included participants between 12
and 30 years old with problematic alcohol consumption, as defined by DSM, AUDIT, or specific alcohol
misuse questionnaires.

Results:
It seems that beta was generally higher in young males with AUD, and they usually exhibited
greater interhemispheric connectivity (interHC), whereas young females with AUD tended towards
enhanced intraHC. P3 appears to be particularly sensitive to alcohol misuse, with males typically exhibiting
a lower amplitude than young females. Other event related potentials (ERPs) such as N415,
P640, and the error-related negativity (ERN) lacked sufficient methodological support to draw conclusions
regarding sex differences, N340 and P540 suggested avenues for expanding research on memory
processing, indicating differences in amplitude between males and females.

Conclusion:
Considering sex variables in clinical research will enhance our understanding of alterations
in brain function and structure with the goal of tailoring treatment strategies for AUD.
A IMPORTÂNCIA DOS SERVIÇOS ECOSSISTÊMICOS NO PARQUE NATURAL MUNICIPAL DO CUIÁ NA CIDADE DE JOÃO PESSOA-PB
Authors: Dantas Lucas Gabriel Feitosa , Silva dos Santos Joel , Gutierres Henrique Elias Pessoa 
Published: November 2024

O modelo de desenvolvimento capitalista em nossa sociedade atualmente é responsável por diversos processos de degradação no meio ambiente, como a concentração de dióxido de carbono na atmosfera, aumento da escassez de água potável, degradação do solo etc. Diante desse panorama, enfatiza-se as áreas verdes urbanas, tais como praças e parques, por permitirem um equilíbrio no meio urbano a partir da presença de elementos naturais (e.g. vegetação), responsáveis pela prestação dos chamados Serviços Ecossistêmicos (SE). Nesse sentido, este estudo se propõe a identificar os SE de regulação climática, de provisão e os potenciais serviços culturais promovidos pelo Parque Natural Municipal do Cuiá localizado na zona sul da cidade de João Pessoa-PB. Para o monitoramento do SE de regulação climática na área de estudo foram instalados três termo-higrômetros no parque, programados para operar no período de 11 de março a 13 de abril de 2022, visando o monitoramento das variáveis temperatura e umidade do ar na escala horária. Para o monitoramento do SE de provisão realizou-se uma pesquisa sobre as espécies existentes no parque, sobretudo as espécies medicinais e frutíferas, utilizando-se como fonte principal a Lista de Espécies da Flora do Brasil do ano de 2020 e a Relação Nacional de Plantas Medicinais de Interesse ao SUS (RENISUS). Para a análise dos SE culturais foi necessária uma adaptação, tendo sido analisada a proposta de zoneamento e instalação dos equipamentos de lazer realizado pela Prefeitura de João Pessoa. Nesse sentido, constatou-se que o Parque Cuiá é vital para a qualidade ambiental da região, pois estabelece uma relação direta entre as necessidades das espécies e o funcionamento do ecossistema, além de prestar importantes SE, denotando a relevância da vegetação e seu papel fundamental na regulação do clima, na provisão de espécies frutíferas e medicinais e o valor cultural (em potencial) à população. Por fim, reitera-se a necessidade do comprometimento do órgão ambiental responsável pela implantação do parque, uma vez que a oferta de SE depende de infraestrutura adequada, além da necessidade de um planejamento e um plano de ação eficazes de forma a pensar nos efeitos da urbanização do entorno.
Development and evaluation of a COOI24m pelletizer
Authors: OLOTU Yahaya , RODIYA Afolabi Adeniyi , HARUNA Victor Ndaraba , IKWUEBENE Benjamin Chukwutem 
Published: November 2024

It is essential to formulate appropriate feeding pellets with the required nutrient compositions for poultry animals to meet the growing demand for protein through the provision of eggs and meat. Forming the required feed concentrates into pellet-mash requires a pelletizing machine, which is, in most cases, very expensive for the local farmers due to the high foreign exchange rate. Based on this, the study focuses on the development of a simple and affordable pelletizing machine from locally sourced materials. The machine consists of a frame, hopper, die roller, pelletizer, and internal combustion (5.5 hp), and it was run at 950, 600, and 450 revolutions per minute. The formation and discharge of pellets from the machine increased with the pelletizing efficiency (Pe) of 70.3% to 84.6% at a moisture content (MC) of 15.8% to 27.1%, and the Pe decreased at a moisture content above 29.0%. Also, the drying temperature (DT) has a significant effect on the pellet moisture content (MC) and bulk density at P > 0.05. The effects of weather conditions on pellets produced using the COOI24m pelletizer were assessed in this study. The analysis showed that changes in weather conditions had an insignificant effect on the quality and properties of the pellets. The machine is highly recommended for use by small-scale livestock farmers for the local production of pellet-mash of different compositions because of its affordability, ease of use, and high working efficiency.