bluuebunny/crossref_metadata_2025_split huggingface dataset:
Gross motor developmental delay and associated factors among under-five children attending public health facilities of Dessie city, Ethiopia
Authors: Mitiku Kefale , Nega Tilaye , Arefaynie Mastewal , Tilahun Degalem , Kefale Bereket , Damtie Yitayish , Adane Bezawit , Yalew Melaku 
Published: December 2023

Abstract
Background
Child psychomotor development and factors affecting it today is the subject of interest of many studies, in particular by the experts involved in the protection and improvement of children’s health. There is limited evidence on developmental delay among under-five children in low-income countries like Ethiopia. The aim of this study was to assess gross motor developmental delay and associated factors among under-five children attending public health facilities of Dessie city, Ethiopia.

Methods
Facility based cross sectional study design was used among under-five children attending under-five OPD in public health facilities of Dessie town from July 1, 2020 to August 15, 2021. A total of, 417 under-five children were systematically selected based on their average number of clients in a month. A pretested structured questionnaire was used for data collection, and data was entered into Epi-data 3.1 version and it was exported to STATA version 14 for analysis. Binary logistic regression analysis was used to identify factors associated with the outcome variable. Odds ratio with 95% confidence interval was used to show the strength and direction of association respectively and P-value less than 0.05 is used to declare statistical significance.

Results
The overall proportion of gross motor developmental delay among under-five children attending health facilities of Dessie city, Ethiopia was 16.31%, 95% CI: (13.05, 20.19). Increased age of the child [AOR = 0.97, 95% CI: (0.96, 0.99)], increased gestational age during pregnancy [AOR = 0.47, 95% CI: (0.37, 0.65)], being male [AOR = 5.26, 95% CI: (1.76, 15.67)], having history of alcohol intake during pregnancy [AOR = 7.40, 95% CI: (2.36, 23.25)], taking iron during pregnancy [AOR = 0.04, 95% CI: (0.01, 0.15)], facing fetal and/or maternal complication [AOR = 4.98, 95% CI: (1.20, 20.62)], having instrumental delivery [AOR = 9.78, 95% CI: (2.48, 38.60)] were significantly associated with gross motor developmental delay.

Conclusions
The gross motor developmental delay among under-five children was higher as compared to other literatures. This study indicated that, age and sex of the child, iron and alcohol intake during pregnancy, gestational age, mode of delivery and any complication to her and or her neonate were independent variables which showed statistical significant association. The physicians should advise mothers to take iron-folic acid supplement properly and to avoid intake of alcohol during pregnancy. In addition, they should focus on those mothers who faced any complication to her and/or her neonate and better to discourage instrumental delivery unless there are no other options.
Relational continuity may give better clinical outcomes in patients with serious mental illness – a systematic review
Authors: Engström Ingemar , Hansson Lars , Ali Lilas , Berg Jenny , Ekstedt Mirjam , Engström Sven , Fredriksson Maja Kärrman , Liliemark Jan , Lytsy Per 
Published: December 2023

Abstract
Background
Continuity of care is considered important for results of treatment of serious mental illness (SMI). Yet, evidence of associations between relational continuity and different medical and social outcomes is sparse. Research approaches differ considerably regarding how to best assess continuity as well as which outcome to study. It has hitherto been difficult to evaluate the importance of relational continuity of care. The aim of this systematic review was to investigate treatment outcomes, including effects on resource use and costs associated with receiving higher relational continuity of care for patients with SMI.

Methods
Eleven databases were searched between January 2000 and February 2021 for studies investigating associations between some measure of relational continuity and health outcomes and costs. All eligible studies were assessed for study relevance and risk of bias by at least two independent reviewers. Only studies with acceptable risk of bias were included. Due to study heterogeneity the synthesis was made narratively, without meta-analysis. The certainty of the summarized result was assessed using GRADE. Study registration number in PROSPERO: CRD42020196518.

Results
We identified 8 916 unique references and included 17 studies comprising around 300 000 patients in the review. The results were described with regard to seven outcomes. The results indicated that higher relational continuity of care for patients with serious mental illness may prevent premature deaths and suicide, may lower the number of emergency department (ED) visits and may contribute to a better quality of life compared to patients receiving lower levels of relational continuity of care. The certainty of the evidence was assessed as low or very low for all outcomes. The certainty of results for the outcomes hospitalization, costs, symptoms and functioning, and adherence to drug treatment was very low with the result that no reliable conclusions could be drawn in these areas.

Conclusions
The results of this systematic review indicate that having higher relational continuity of care may have beneficial effects for patients with severe mental illness, and no results have indicated the opposite relationship. There is a need for better studies using clear and distinctive measures of exposure for relational continuity of care.
Implant-supported prosthetic rehabilitation after Ameloblastomas treatment: a systematic review
Authors: Alarcón-Sánchez Mario Alberto , Becerra-Ruíz Julieta Sarai , Yessayan Lazar , Mosaddad Seyed Ali , Heboyan Artak 
Published: December 2023

Abstract
Background
Ameloblastoma (AM), the benign counterpart of ameloblastic carcinoma, is a benign odontogenic tumor of epithelial origin, naturally aggressive, with unlimited growth potential and a high tendency to relapse if not adequately removed. Patients with AM treated surgically can benefit from dental implant therapy, promoting oral rehabilitation and improving their quality of life. The present study aimed to determine the survival rate of dental implants placed after surgical treatment of patients affected by AM. In addition, there were two secondary objectives: 1) To evaluate which dental implant loading protocols are most frequently used and 2) To determine the type of prosthetic restoration most commonly used in these patients.

Methods
The Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guidelines were followed during the study. Searches were performed in three databases (PubMed/MEDLINE, Scopus, and Google Scholar) until November 2023. Additionally, the electronic search was enriched by an iterative hand search of journals related to oral pathology and medicine, maxillofacial surgery, and oral prosthodontics and implantology. Only reports and case series in English from January 2003 to date were included. The Joanna Briggs Institute tool (JBI-Case Reports/Case Series) was used for the study quality assessment.

Results
The total number of patients and implants studied were 64 and 271, respectively, all with surgically treated AM. The patient’s ages ranged from 8 to 79 years, with a mean (SD) age of 37.3 ± 16.4. Fifty-three percent were male and 47% were female. The range of follow-up duration was 1 to 22 years. An implant survival/success rate of 98.1% was reported. In addition, most of them were conventionally loaded (38.3%). Hybrid implant-supported fixed dentures were the most commonly used by prosthodontists (53%).

Conclusions
Oral rehabilitation with dental implants inserted in free flaps for orofacial reconstruction in surgically treated patients with AM can be considered a safe and successful treatment modality.
Effect of risk factor-tailored autonomy enhancement education in the first-time middle-aged patients undergoing percutaneous coronary intervention: a randomized controlled trial
Authors: Uhm In Ae , Hwang Seon Young 
Published: December 2023

Abstract
Purpose
It is important for middle-aged patients who have undergone acute treatment for coronary artery disease to voluntarily improve their lifestyle and risk factors based on their recognition as patients with chronic diseases. This study conducted individual education to improve risk factors and tried to verify its effectiveness.

Methods
The hypothesis was verified by applying a randomized controlled pre- and post-test design through random assignment of two groups. Middle-aged (40–64 years) patients who underwent percutaneous coronary intervention for the first time were recruited from a university hospital in Seoul, Korea. For the experimental group, based on the Self-Determination Theory, risk factor- tailored counseling and education were provided individually for one hour based on the education booklet, and telephone counseling was conducted twice for 12 weeks. Differences in autonomous motivation, resilience, self-care compliance and biochemical indicators measured after 12 weeks in the experimental group and the control group were compared. Data were analyzed using SPSS/WIN ver. 22.0.

Results
The autonomous motivation, resilience, and self-care compliance of the experimental group were significantly higher than those of the control group (p < .05). Body mass index (p = .005) and current smoking rate (p < .001) were also significantly decreased in the experimental group but there was no significant difference in other biochemical parameters.

Conclusion
For middle-aged patients with first coronary intervention, risk factor-tailored education emphasizing autonomy by nurses should be provided early after discharge.

Trial registration
This study was retrospectively registered in the Clinical Research Information Service and the identification number is KCT0008698(11/08/2023).
Exploring health information system resilience during COVID-19 pandemic: case studies from Norway, Sri Lanka & Rwanda
Authors: Amarakoon Pamod Madusanka , Gundersen Ragnhild Bassøe , Muhire Andrew , Utvik Vetle Alvenes , Braa Jørn 
Published: December 2023

AbstractThe study aims at exploring health system resilience by defining the scope on health information systems, one of the six building blocks of the health system. The empirical evidence is derived using qualitative data collection and analysis in the context of Norway, Sri Lanka and Rwanda during the COVID-19 pandemic. The case studies elicit bounce back and bounce forward properties as well as the agility as major attributes of resilience present across the countries. Existing local capacity, networking and collaborations, flexible digital platforms and enabling antecedent conditions are identified as socio-technical determinants of information system resilience based on the case studies across the countries.
Raman spectroscopy online monitoring of biomass production, intracellular metabolites and carbon substrates during submerged fermentation of oleaginous and carotenogenic microorganisms
Authors: Dzurendova Simona , Olsen Pernille Margrethe , Byrtusová Dana , Tafintseva Valeria , Shapaval Volha , Horn Svein Jarle , Kohler Achim , Szotkowski Martin , Marova Ivana , Zimmermann Boris 
Published: December 2023

Abstract
Background
Monitoring and control of both growth media and microbial biomass is extremely important for the development of economical bioprocesses. Unfortunately, process monitoring is still dependent on a limited number of standard parameters (pH, temperature, gasses etc.), while the critical process parameters, such as biomass, product and substrate concentrations, are rarely assessable in-line. Bioprocess optimization and monitoring will greatly benefit from advanced spectroscopy-based sensors that enable real-time monitoring and control. Here, Fourier transform (FT) Raman spectroscopy measurement via flow cell in a recirculatory loop, in combination with predictive data modeling, was assessed as a fast, low-cost, and highly sensitive process analytical technology (PAT) system for online monitoring of critical process parameters. To show the general applicability of the method, submerged fermentation was monitored using two different oleaginous and carotenogenic microorganisms grown on two different carbon substrates: glucose fermentation by yeast Rhodotorula toruloides and glycerol fermentation by marine thraustochytrid Schizochytrium sp. Additionally, the online FT-Raman spectroscopy approach was compared with two at-line spectroscopic methods, namely FT-Raman and FT-infrared spectroscopies in high throughput screening (HTS) setups.

Results
The system can provide real-time concentration data on carbon substrate (glucose and glycerol) utilization, and production of biomass, carotenoid pigments, and lipids (triglycerides and free fatty acids). Robust multivariate regression models were developed and showed high level of correlation between the online FT-Raman spectral data and reference measurements, with coefficients of determination (R2) in the 0.94–0.99 and 0.89–0.99 range for all concentration parameters of Rhodotorula and Schizochytrium fermentation, respectively. The online FT-Raman spectroscopy approach was superior to the at-line methods since the obtained information was more comprehensive, timely and provided more precise concentration profiles.

Conclusions
The FT-Raman spectroscopy system with a flow measurement cell in a recirculatory loop, in combination with prediction models, can simultaneously provide real-time concentration data on carbon substrate utilization, and production of biomass, carotenoid pigments, and lipids. This data enables monitoring of dynamic behaviour of oleaginous and carotenogenic microorganisms, and thus can provide critical process parameters for process optimization and control. Overall, this study demonstrated the feasibility of using FT-Raman spectroscopy for online monitoring of fermentation processes.
LncRNA AGAP2 antisense RNA 1 stabilized by insulin-like growth factor 2 mRNA binding protein 3 promotes macrophage M2 polarization in clear cell renal cell carcinoma through regulation of the microRNA-9-5p/THBS2/PI3K-Akt pathway
Authors: Xu Peng , Feng Da-xiong , Wang Jun , Wang Yao-Dong , Xie Gang , Zhang Bin , Li Xiao-Han , Zeng Jia-Wei , Feng Jia-Fu 
Published: December 2023

Abstract
Background
Increasing evidence highlights the potential role of long non-coding RNAs (lncRNAs) in the biological behaviors of renal cell carcinoma (RCC). Here, we explored the mechanism of AGAP2-AS1 in the occurrence and development of clear cell RCC (ccRCC) involving IGF2BP3/miR-9-5p/THBS2.

Methods
The expressions of AGAP2-AS1, IGF2BP3, miR-9-5p, and THBS2 and their relationship were analyzed by bioinformatics. The targeting relationship between AGAP2-AS1 and miR-9-5p and between miR-9-5p and THBS2 was evaluated with their effect on cell biological behaviors and macrophage polarization assayed. Finally, we tested the effect of AGAP2-AS1 on ccRCC tumor formation in xenograft tumors.

Results
IGF2BP3 could stabilize AGAP2-AS1 through m6A modification. AGAP2-AS1 was highly expressed in ccRCC tissues and cells. The lentivirus-mediated intervention of AGAP2-AS1 induced malignant behaviors of ccRCC cells and led to M2 polarization of macrophages. In addition, THBS2 promoted M2 polarization of macrophages by activating the PI3K/AKT signaling pathway. AGAP2-AS1 could directly bind with miR-9-5p and promote the expression of THBS2 downstream of miR-9-5p. These results were further verified by in vivo experiments.

Conclusion
AGAP2-AS1 stabilized by IGF2BP3 competitively binds to miR-9-5p to up-regulate THBS2, activating the PI3K/AKT signaling pathway and inducing macrophage M2 polarization, thus facilitating the development of RCC.
Clusters of carbohydrate-rich foods and associations with type 2 diabetes incidence: a prospective cohort study
Authors: Olsson Kjell , González-Padilla Esther , Janzi Suzanne , Stubbendorff Anna , Borné Yan , Ramne Stina , Ericson Ulrika , Sonestedt Emily 
Published: December 2023

Abstract
Background
About one in ten adults are living with diabetes worldwide. Intake of carbohydrates and carbohydrate-rich foods are often identified as modifiable risk factors for incident type 2 diabetes. However, strong correlation between food variables can make it difficult to identify true associations. The purpose of this study was to identify clusters of carbohydrate-rich foods and analyse their associations with type 2 diabetes incidence in the Malmö Diet and Cancer Study cohort in southern Sweden.

Methods
Dietary intake of 26 622 participants was assessed using a validated three-part diet history method: a 7-day food diary, a 168-item food frequency questionnaire, and a 60-minute interview. K-means clustering analysis identified five clusters from 21 food variables. The Cox proportional hazard regression model was applied to calculate hazard ratios (HR) and 95% confidence intervals (CI) of the association between clusters and incident type 2 diabetes.

Results
The cluster analysis resulted in five clusters; high vegetables/low added sugar, high sugar-sweetened beverages, high juice, high fruit, and high refined carbohydrates/low fruit & vegetables (reference). During mean follow-up of 18 years, 4046 type 2 diabetes cases were identified. After adjustment for potential confounding (including lifestyle, body mass index, and diet), a high fruit cluster (HR 0.86; 95% CI 0.78, 0.94) was inversely associated with type 2 diabetes compared to the reference cluster. No other significant associations were identified.

Conclusions
A dietary pattern defined by a high intake of fruits was associated with a lower incidence of type 2 diabetes. The findings provide additional evidence of a potential protective effect from fruit intake in reducing type 2 diabetes risk. Future studies are needed to explore this association further.
Using collective intelligence methods to improve government data infrastructures and promote the use of complex data: The example of the Northern Ireland Longitudinal Study
Authors: Lowry Estelle , Hogan Michael J. , Moriarty John , Harney Owen M. , Ruijer Erna , Pilch Monika , Groarke Jenny M. , Hanlon Michelle , Shuttleworth Ian 
Published: December 2023

Abstract
Background
This paper discusses how collective intelligence (CI) methods can be implemented to improve government data infrastructures, not only to support understanding and primary use of complex national data but also to increase the dissemination and secondary impact of research based on these data. The case study uses the Northern Ireland Longitudinal Study (NILS), a member of the UK family of census/administrative data longitudinal studies (UKLS).

Methods
A stakeholder-engaged CI approach was applied to inform the transformation of the NILS Research Support Unit (RSU) infrastructure to support researchers in their use of government data, including collaborative decision-making and better dissemination of research outputs.

Results
We provide an overview of NILS RSU infrastructure design changes that have been implemented to date, focusing on a website redesign to meet user information requirements and the formation of better working partnerships between data users and providers within the Northern Ireland data landscape. We also discuss the key challenges faced by the design team during this project of transformation.

Conclusion
Our primary objective to improve government data infrastructure and to increase dissemination and the impact of research based on data was a complex and multifaceted challenge due to the number of stakeholders involved and their often conflicting perspectives. Results from this CI approach have been pivotal in highlighting how NILS RSU can work collaboratively with users to maximize the potential of this data, in terms of forming multidisciplinary networks to ensure the research is utilized in policy and in the literature and providing academic support and resources to attract new researchers.
MicroRNA ame-let-7 targets Amdop2 to increase sucrose sensitivity in honey bees (Apis mellifera)
Authors: Liu Fang , Zhao Hongxia , Li Qiang , Wu Lixian , Cao Dainan , Zhang Yuan , Huang Zachary Y. 
Published: December 2023

Abstract
Background
As an important catecholamine neurotransmitter in invertebrates and vertebrates, dopamine plays multiple roles in the life of the honey bee. Dopamine receptors (DA), which specifically bind to dopamine to activate downstream cascades, have been reported to be involved in honey bee reproduction, division of labour, as well as learning and motor behaviour. However, how dopamine receptors regulate honey bee behavior remains uninvestigated.

Results
The expression level of Amdop2 in the brain increased with the age of worker bees, which was just the opposite trend of ame-let-7. Inhibition of ame-let-7 through feeding an inhibitor upregulated Amdop2 expression; conversely, overexpression of ame-let-7 through a mimic downregulated Amdop2. Moreover, knockdown of Amdop2 in forager brain led to significantly higher sucrose responsiveness, which is similar to the phenotype of overexpression of ame-let-7. Finally, we confirmed that ame-let-7 directly targets Amdop2 in vitro by a luciferase reporter assay.

Conclusions
ame-let-7 is involved in the dopamine receptor signaling pathway to modulate the sucrose sensitivity in honey bees. Specifically, it down-regulates Amdop2, which then induces higher responses to sucrose. These results further unraveled the diverse mechanisms of the dopamine pathway in the regulation of insect behavior.
Smoother: a unified and modular framework for incorporating structural dependency in spatial omics data
Authors: Su Jiayu , Reynier Jean-Baptiste , Fu Xi , Zhong Guojie , Jiang Jiahao , Escalante Rydberg Supo , Wang Yiping , Aparicio Luis , Izar Benjamin , Knowles David A. , Rabadan Raul 
Published: December 2023

AbstractSpatial omics technologies can help identify spatially organized biological processes, but existing computational approaches often overlook structural dependencies in the data. Here, we introduce Smoother, a unified framework that integrates positional information into non-spatial models via modular priors and losses. In simulated and real datasets, Smoother enables accurate data imputation, cell-type deconvolution, and dimensionality reduction with remarkable efficiency. In colorectal cancer, Smoother-guided deconvolution reveals plasma cell and fibroblast subtype localizations linked to tumor microenvironment restructuring. Additionally, joint modeling of spatial and single-cell human prostate data with Smoother allows for spatial mapping of reference populations with significantly reduced ambiguity.