bluuebunny/crossref_metadata_2025_split huggingface dataset:
A bibliometric analysis of Indonesian ethnic food studies
Authors: Wargadalem Farida R. , Nasyaya Annada , Santoso Anang Dwi 
Published: January 2025

This study examines the evolution and growth of research on ethnic cuisine in Indonesia over a thirty-year period (1993–2023) using a bibliometric analysis. The findings revealed that research in this field has grown with an average annual expansion of 6.7%. Thematic evolution highlights a shift in focus from the cultural and regional aspects of ethnic cuisine to scientific and nutritional dimensions, such as health benefits, functional foods, and modernized practices. Additionally, this study identifies key trends, including the role of gender and age in shaping food preferences, the contrasts between rural and urban dietary behaviors, and influence of globalization on traditional food systems. A trend of collaborative research was observed, with international partnerships involving nations such as Malaysia, Japan, China, and Canada underscoring the global appeal and relevance of Indonesian ethnic food research. This study highlights the growing interdisciplinary and international nature of research in this field. Recommendations for future studies include exploring diverse perspectives, and expanding cross-national research to address the dynamic challenges and opportunities in ethnic cuisine studies.
WITHDRAWN: Hydrogeochemical Characterization and Water Quality Assessment of Surface Water Resources in Obomkpa, Western Niger Delta, Nigeria
Authors: Ekeoma Chinemelu Sandra , Omoleomo Omoirabo 
Published: January 2025

Abstract

The full text of this preprint has been withdrawn, as it was submitted in error. Therefore, the authors do not wish this work to be cited as a reference. Questions should be directed to the corresponding author.
Refactoring the pikromycin synthase for the modular biosynthesis of macrolide antibiotics in E. coli
Authors: Keatinge-Clay Adrian , Miyazawa Takeshi 
Published: January 2025

Abstract

While engineering modular polyketide synthases (PKSs) using the recently updated module boundary has yielded libraries of triketide-pentaketides, this strategy has not yet been applied to the combinatorial biosynthesis of macrolactones or macrolide antibiotics. We developed a 2-plasmid system for the construction and expression of PKSs and employed it to obtain a refactored pikromycin synthase in E. coli that produces 85 mg of narbonolide per liter of culture. The replacement, insertion, deletion, and mutagenesis of modules enabled access to hexaketide, heptaketide, and octaketide derivatives. Supplying enzymes for desosamine biosynthesis and transfer enabled production of narbomycin, pikromycin, YC-17, methymycin, and 6 derivatives thereof. Knocking out pathways competing with desosamine biosynthesis and supplying the editing thioesterase PikAV boosted the titer of narbomycin 55-fold to 37 mgL− 1. The replacement of the 3rd pikromycin module with its 5th yielded a new macrolide antibiotic and demonstrates how libraries of macrolide antibiotics can be readily accessed.
Immunity against conserved and non-conserved Spike epitopes after COVID-19 booster vaccination provides long-term protection against symptomatic Omicron infections
Authors: Pfister Heiko , Uhlig Carsten , Mayer Zsuzsanna , Polatoglou Eleni , Randeu Hannah , Burglechner-Praun Silke , Berchtold Tabea , Sernetz Susanne , Heitzer Felicitas , Strötges-Achatz Andrea , Deml Ludwig , Sander Michaela , Holdenrieder Stefan 
Published: January 2025

Abstract

The objective of this study was to investigate the features of immune protection against SARS-CoV-2 infection in a single cohort during the 6–17 months following booster immunization with an mRNA-based vaccine. The results illustrate the influence of humoral and cellular immunity on the efficacy of the vaccine. Notably, neutralizing antibody titers were found to serve as a reasonably reliable correlate of protection prior to booster immunization. However, this predictive power was largely lost after boosting. The loss appears to be due to the critical remodeling of the humoral immune response following booster immunization. Our findings support the hypothesis that immunity to both conserved and non-conserved epitopes of the viral Spike protein's receptor-binding domain (RBD) is crucial for optimal long-term protection against Omicron infection. While immunity to conserved epitopes may provide cross-variant protection, antibodies targeting non-conserved RBD epitopes play a pivotal role in achieving maximum protection. These observations highlight the critical role of repeated immunization in shaping the immune response landscape and reinforce the necessity of considering both humoral and cellular immune components, alongside intended use considerations, when assessing vaccine efficacy and developing future immunization strategies.
Utilization of Insecticide Treated Net and Indoor Residual Spray Among A Subset of Nigerians In The Prevention of Malaria Infection
Authors: Aika Isabel Naomi , Ejimadu Charity Obioma , Williams Felicia Esemekiphoraro 
Published: January 2025

Abstract

Background: Malaria remains a health concern in Sub-Saharan Africa despite effective control measures such as the use of insecticide-treated nets (ITNs) and indoor residual sprays (IRS). This study assessed the use of ITNs and IRS in the prevention of malaria among a subset of Nigerians.
MethodsThis was a quantitative cross-sectional study conducted among clients visiting community pharmacies in five local government areas in Benin City. A structured questionnaire was used to collect data. Descriptive data analysis was conducted.
Results: Of the 500 participants, 216 (43.2%) reported that they have an insecticide treated net currently, while only 121 (24.2%) have used in the past week. However, 124 (24.8%) of them used non-ITN. About half [267 (53.4%)] of the respondents currently have IRS but only 243 (49%) of them used it within the month of data collection. Barriers to use of ITN includes difficulty in setting it up [266 (53.6%)], hot weather [298 (59.2%)], lack of space in the apartment [265 (53%)] and cost implication [224 (45.1%)]. Some hindrances to the use of IRS are unpleasant smell [196(39.2)], cost consideration [248 (52.6%)], and non-effectiveness 210 (42%). These barriers can be addressed using multi-sectorial approaches.
Conclusion: The utilization of ITNs and IRS among this study population is low. There is need to increase public awareness on malaria prevention, preventive strategies and subsidization of these strategies to increase utilization.
Self-Supervised Model-Informed Deep Learning for Low-SNR SS-OCT Domain Transformation
Authors: Rakhshani Sajed , Tajmirriahi Mahnoosh , Sedighin Farnaz , Rabbani Hossein , Arbab Amirali , Habibi Aref , Pourazizi Mohsen 
Published: January 2025

Abstract

This article introduces a novel deep-learning based framework, Super-resolution/Denosing network (SDNet), for simultaneous denoising and super-resolution of swept-source optical coherence tomography (SS-OCT) images. The novelty of this work lies in the hybrid integration of data-driven deep-learning with a model-informed noise representation, specifically designed to address the very low signal-to-noise ratio (SNR) and low-resolution challenges in SS-OCT imaging. SDNet introduces a two-step training process, leveraging noise-free OCT references to simulate low-SNR conditions. In the first step, the network learns to enhance noisy images by combining denoising and super-resolution within noise-corrupted reference domain. To refine its performance, the second step incorporates Principle Component Analysis (PCA) as self-supervised denoising strategy, eliminating the need for ground-truth noisy image data. This unique approach enhances SDNet’s adaptability and clinical relevance. A key advantage of SDNet is its ability to balance contrast-texture by adjusting the weights of the two training steps, offering clinicians flexibility for specific dagnostic needs. Experimental results across diverse datasets demonstrate that SDNet surpasses traditional model-based and data-driven methods in computational efficiency, noise reduction, and structural fidelity. The framework excels in improving both image quality and diagnostic accuracy. Additionally, SDNet shows promising adaptability for analyzing low-resolution, low-SNR OCT images, such as those from patients with diabetic macular edema (DME). This study establishes SDNet as a robust, efficient, and clinically adaptable solution for OCT image enhancement addressing critical limitations in contemporary imaging workflows.
Hispanic Border State Emigration Response to Stricter Immigration Control
Authors: Escalante Cesar , Luo Tianyuan 
Published: January 2025

Abstract

This study draws upon assertions that Arizona’s stringent state immigration law has created a hostile social environment for Hispanics due to the law’s unintended racial profiling consequences that have serious spillover effects affecting even documented immigrants and American-born citizens of Hispanic ethnicity. Recent evidence indicates the law’s serious repercussions on the mental and physical health conditions especially among the state’s Hispanic adolescents. This study determines whether in the face of such adverse social environment, affected Hispanic families have considered relocation and migration to its contiguous neighboring states. The border state emigration argument is explored as a logical alternative due proximity and relatively more lenient immigration environment considerations. We employed differences-in-difference and synthetic control method analytical techniques to discern Hispanics’ migration trends leaving Arizona to move into bordering, contiguous states. This study’s findings indicate the lack of significant migratory response of Hispanics in Arizona, thereby suggesting that noncitizen Hispanics instead choose to remain in the state as those with legal residence status assert their immigration residential rights. Given such compelling evidence, policy attention should then be geared towards more significant damage control efforts, perhaps by redirecting resources to launch effective, efficient mechanisms to alleviate Hispanics’ mental and physical health issues.
Multi-Omics Analysis Delineates Molecular Signatures of Spinal Ependymal Tumor
Authors: Liu Weihao , Ning Chao , Geng Xiaohan , Wang Bo , Zhang Yaowu , Wang Chong , Liu Yixiang , Zheng Guanghao , Wang Yongzhi , Wang Xinyu , Li Dong , Jia Wenqing 
Published: January 2025

Abstract

Spinal ependymal tumors are a diverse group of neoplasms encompassing three subtypes: spinal ependymoma (SP-EPN), spinal myxopapillary ependymoma (SP-MPE), and spinal subependymoma (SP-SE). However, the molecular differences among these subtypes remain largely unknown. Here, we identified the distinct molecular characteristics of each subtype through a multi-omics analysis. In grade-2 SP-EPN, abnormal enrichment of ciliary signaling, particularly involving the MKS complex and Hedgehog (Hh) pathway, was evident, suggesting potential therapeutic targets. SP-MPE exhibited significant dysregulation of mitochondrial metabolism, reflecting a metabolic profile aligned with the Warburg effect. SP-SE tumors showed enhanced activity of immune-related pathways, including interferon signaling and extracellular vesicle dynamics, suggesting a distinct tumor microenvironment. This study underscores the molecular diversity of spinal ependymal tumors, offering novel insights into their pathobiology, and highlighting promising therapeutic avenues tailored to each subtype.
The Multifaceted Interplay Between COVID-19-Induced Psychological Stress, Cognitive Flexibility, Emotional Overeating, and Physical Activity Patterns in Adult Women: A Mediated Path Analysis
Authors: Naddafha Siavash , Shanahad Robabeh , Sangari Mandana , Eskandari Zohreh , Taber Christopher B. 
Published: January 2025

Abstract

Purpose
This study investigated the impact of COVID-19-related stress on food consumption and emotional overeating in adult women, with cognitive flexibility and physical activity as mediating factors.
Methods
A descriptive-analytical, correlational, and applied research design was employed. The study population included adult women aged 20–50 in an urban area. Using Cochran's formula, a sample size of 300 was determined. Data were collected using validated tools: COVID Stress Scale (CSS-18(2021), AEBQ(2016),SREBQ), Cognitive Flexibility Scale, and Rapid Assessment of Physical Activity (RAPA). Chi-square tests and Spearman's correlation were applied at a significant level of p = 0.05.
Results
COVID-19-related stress significantly reduced cognitive flexibility (p < 0.001) and negatively impacted physical activity (p = 0.005). No significant associations were found with emotional overeating (p > 0.05).
Conclusion
Increased stress negatively affected cognitive flexibility and physical activity in adult women, highlighting the need for interventions to enhance resilience and promote healthier behaviors.
The Role of Glycerol in Modulating Ionic Transport and Electrochemical Performance of PEO:NaCl Solid Polymer Electrolytes
Authors: Aziz Shujahadeen Bakr , Rasul Hazhar Hamad , Mohammed Safar Saeed , Muhammed Abubakr Wsu , Mahmood Peshawa H. , Omar Sleman Yousif , Hamid Dlshad Aziz , Salih Ibrahim Luqman , Babakr Karukh Ali , Qader Ibrahim Nazem , Ibrahim Pshdar Ahmed , Omer Rebaz Anwar , Rahman Ari Ahmed Abdul , Hamad Samir Mustafa , Aspoukeh Peyman , Hussein Sarbast Mamnd 
Published: January 2025

Abstract

Solid polymer electrolytes (SPEs) are promising alternatives to liquid electrolytes, offering stability and versatility. However, low ionic conductivity remains a challenge, which can be addressed through strategies such as salt incorporation and plasticizer optimization. This study aims to enhance PEO-NaCl-based polymer electrolyte films by adding glycerol to modify crystallinity and improve electrical properties. Characterization included Fourier-transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), and electrochemical impedance spectroscopy (EIS) to analyze structural, spectroscopic, and electrochemical properties as a function of plasticizer content. The study demonstrated significant enhancements in the electrochemical and dielectric properties of PEO-NaCl polymer electrolytes with increasing glycerol content. Electrical Impedance Spectroscopy (EIS) revealed a marked improvement in DC conductivity, increasing from 1.38 × 10− 8 S/cm for the glycerol-free sample to 1.74 × 10− 4 S/cm at 32% glycerol concentration, attributed to reduced bulk resistance and enhanced ion mobility. Glycerol also improves the dielectric properties of PEO-NaCl electrolytes by increasing polarizability, enhancing ion motion, and reducing ion aggregation, which leads to better ionic conductivity and energy dissipation. Additionally, the relaxation dynamics improved, as evidenced by sharper and higher dielectric loss tangent peaks (tanδ) with glycerol addition. The findings confirm that glycerol effectively reduces polymer rigidity, boosts ionic mobility, and improves conductivity, positioning it as a promising plasticizer for solid-state electrolytes.
Predicting Air Quality Index in Accra using Machine Learning
Authors: Moore Stephen Edward , Antwi Aaron P. , Onyame Eric , Houénafa Sianou E. 
Published: January 2025

Abstract

Air quality is a significant public health issue, and accurate predictions of the Air Quality Index (AQI) are crucial for timely interventions. This study explores the use of supervised machine learning algorithms to forecast AQI across different neighborhoods in Accra, Ghana. Six models including Random Forest , CatBoost, Support Vector Regression (SVR), Linear Regression, Ridge and Lasso Regressions, were evaluated. Data from the Breathe Accra platform, encompassing pollutants and weather conditions in five neighborhoods, were preprocessed through data cleaning, feature selection, and normalization. Model performance was assessed using the coefficient of determination (R2), Root Mean Square Error (RMSE), and Mean Absolute Error (MAE). While the initial performance of the models was less satisfactory, the incorporation of wavelet transform preprocessing significantly enhanced the results. This improvement was particularly notable for the area of Korle Bu, where the CatBoost model's R2 increased from 0.32 to 0.58, RMSE decreased from 29.03 to 22.79, and MAE dropped from 22.11 to 17.01. On average, all models except SVR performed well across all areas, as evidenced by the evaluation metrics. These findings have direct implications for enhancing air quality management and policymaking in the city of Accra, where accurate AQI predictions are vital for effective public health interventions and environmental planning.
Development of Personas and Journey Maps for Artificial Intelligence Agents Supporting the Use of Health Big Data: Human-Centered Design Approach
Authors: Lee Yoon Heui , Choi Hanna , Lee Soo-Kyoung 
Published: January 2025

Background
The rapid proliferation of artificial intelligence (AI) requires new approaches for human-AI interfaces that are different from classic human-computer interfaces. In developing a system that is conducive to the analysis and use of health big data (HBD), reflecting the empirical characteristics of users who have performed HBD analysis is the most crucial aspect to consider. Recently, human-centered design methodology, a field of user-centered design, has been expanded and is used not only to develop types of products but also technologies and services.

Objective
This study was conducted to integrate and analyze users’ experiences along the HBD analysis journey using the human-centered design methodology and reflect them in the development of AI agents that support future HBD analysis. This research aims to help accelerate the development of novel human-AI interfaces for AI agents that support the analysis and use of HBD, which will be urgently needed in the near future.

Methods
Using human-centered design methodology, we collected data through shadowing and in-depth interviews with 16 people with experience in analyzing and using HBD. We identified users’ empirical characteristics, emotions, pain points, and needs related to HBD analysis and use and created personas and journey maps.

Results
The general characteristics of participants (n=16) were as follows: the majority were in their 40s (n=6, 38%) and held a PhD degree (n=10, 63%). Professors (n=7, 44%) and health care personnel (n=10, 63%) represented the largest professional groups. Participants’ experiences with big data analysis varied, with 25% (n=4) being beginners and 38% (n=6) having extensive experience. Common analysis methods included statistical analysis (n=7, 44%) and data mining (n=6, 38%). Qualitative findings from shadowing and in-depth interviews revealed key challenges: lack of knowledge on using analytical solutions, crisis management difficulties during errors, and inadequate understanding of health care data and clinical decision-making, especially among non–health care professionals. Three types of personas and journey maps—health care professionals as big data analysis beginners, health care professionals who have experience in big data analytics, and non–health care professionals who are experts in big data analytics—were derived. They showed a need for personalized platforms tailored to the user level, appropriate direction through a navigation function, a crisis management support system, communication and sharing among users, and expert linkage service.

Conclusions
The knowledge obtained from this study can be leveraged in designing an AI agent to support future HBD analysis and use. This is expected to further increase the usability of HBD by helping users perform effective use of HBD more easily.
Marketing Strategy of “AL” Traditional Medicine Products: Case Study in “SP” Company in Yogyakarta
Authors: Putri Felicita Eka , Ardiningtyas Bondan , Endarti Dwi 
Published: January 2025

Background: Exclusive breastfeeding is an effort to avoid cases of stunting in children. However, the breastmilk produced by the mother is not always enough to meet the needs of the baby. PT. SP is one of the companies that manufacture “AL” as a traditional herbal medication (a combination of katuk and moringa leaves) that can boost milk production. However, the sales of this product are not optimal yet, meaning competent marketing strategies are needed. Objective: This study aimed to identify and analyze the internal and external factors of PT. SP to gain an understanding of the company's position so that the best marketing strategy can be determined.Methods: This study was carried out using an analytical descriptive method involving key informants including the supervisor of production, Quality Control, Quality Assurance, and the marketing division. Data analysis utilized the Internal Factor Evaluation (IFE), External Factor Evaluation (EFE) Matrix, and Internal-External (IE) Matrix.Results: Based on the analysis PT. SP had significant internal factors for capturing opportunities and facing threats, as shown in cell IV. It indicated that PT. SP is a growing and developing company. The most suitable marketing strategy needed is an intensive strategy, such as market penetration, market expansion, and product development. An integration strategy is carried out, which is forward integration.Conclusion: The company was positioned in cell IV in the IE matrix, namely growing and developing. It is suggested that the strategies that can be used to improve marketing are intensive and integration strategies.
Formulation and Antioxidant Activity of Gotu Kola Jelly Candy with Plant-based Polymers as a Gelling Agent
Authors: Devi Dwitya Devi Nurlistyo , Darsih Cici , Yuniarti Nunung , Ardiningtyas Bondan , Laksitorini Marlyn Dian 
Published: January 2025

Centella asiatica or gotu kola has a long history as a brain supplement. Gotu kola supplements are sold as liquid and dried extract which is less attractive for a younger generation. Jelly candy is an alternative dosage form with better acceptability across ages. However, the use of animal-derived polymers such as pork gelatine in the candy restricts those who practice vegetarian and halal lifestyles from consuming the products. This study aims to explore plant-based polymers glucomannan and kappa-carrageenan as gelling agents in the preparation of gotu kola jelly candy. Preparation of the jelly candy formula was designed based on Simplex Lattice Design. Evaluation of physical characteristics of jelly candy includes organoleptic, weight uniformity, moisture content, pH, and elasticity. The antioxidant activity of gotu kola before and after the manufacturing process was evaluated. The results showed that a combination of kappa-carrageenan 1.33% and glucomannan 0.67% is the optimum formula. Adding more proportion of kappa-carrageenan reduced jelly elasticity and moisture content. While adding glucomannan improved its elasticity responses but increased moisture content. Evaluation of the antioxidant activity of gotu kola in jelly candy suggested that gotu kola experienced a significant reduction in antioxidant activity following the production process. The IC50 of the crude extract initially was129.23 ppm while post jelly candy manufacturing, the IC50 increased to 197.49 ppm. This study suggested that improvement in extraction and production processes is necessary to maintain gotu kola antioxidant activity.