bluuebunny/crossref_metadata_2025_split huggingface dataset:
A highly sensitive dual-core D-Shape photonic crystal fiber based on surface plasmon resonance for methane sensing
Authors: xu hongzhi , feng yongkang , gan xiaoyong , jiang shubo 
Published: March 2024

Abstract

This paper presents a gas sensor that uses surface plasmon resonance (SPR) technology and a novel D-type photonic crystal fiber (PCF) structure to detect methane. The sensor's double-sided, side-polished gas holes are the key components for achieving large-area contact with external methane gas. The coating material chosen to stimulate the SPR effect was a gold nanolayer. To increase the sensitivity of methane gas detection, the researchers used polysiloxane-doped cryptane E as a coating material. The study analyzed the sensor characteristics using finite element analysis (FEA) and numerical analysis to examine the effect of optical structure parameters on the sensor performance. The numerical results demonstrate that the sensor has a sensitivity of 11.52 nm/% and a FOM value of 0.409 when measuring methane gas in the concentration range of 0–3.5%. The curve fitted shows excellent linearity. The sensor is a promising technology for the future development of gas leakage detection due to its low cost, simplicity, and real-time detection capability.
Research on Multilateral Collaboration Strategies in Agricultural Seed Quality Assurance
Authors: Yanmei Wang , Yusheng Chen 
Published: March 2024

Abstract
Seeds, as the initial products in agricultural systems, play a pivotal role in ensuring quality, fundamental to national food security and sustainable agricultural development. This study introduces a concept integrating public governance and evolutionary game theory to construct a quadripartite evolutionary game model involving seed companies, certification agencies, farmers, and governmental departments. It considers the strategic choices of these stakeholders under varying economic motivations and market mechanisms, as well as the influence of external regulation and incentives on game strategies. The existence conditions for evolutionarily stable strategy combinations are determined using the Lyapunov first method, and MATLAB is employed for numerical simulation analysis to validate the game analysis under initial conditions. The simulation results reveal two potential equilibrium points corresponding to different strategic choices among stakeholders. The study finds that producing high-quality seeds and the refusal of certification agencies to engage in rent-seeking are crucial for ensuring seed quality. Additionally, the cost-benefit ratio of seed companies, the speculative cost of certification agencies, and the rights-protection cost of farmers are key determinants in the evolution of seed quality assurance strategies. This research also holds practical significance in enhancing seed quality assurance mechanisms and fostering sustainable development in agriculture.
Barriers and Facilitators to Implementing Evidence for Improving Medication Adherence in Elderly Patients with Hypertension: a scoping review
Authors: Zhang Jingying , Zhao Jingjing , Zhang Ying , Shi Tieying , Zhang Xiujie 
Published: March 2024

Abstract

Background
With the seriousness of global aging, hypertension has become a major health hazard for the elderly. Improving medication adherence is one of the measures to effectively control blood pressure, and although there has been a great number of publications on how to improve medication adherence in elderly hypertensive patients, implementation in real practice remains a challenge. Moreover, little attention has been paid to what exactly are the factors that influence the implementation of the evidence. The purpose of this review is to provide a systematic overview of the barriers and facilitators that influence the implementation of evidence for improving medication adherence in the elderly hypertensive patient.
Methods
This review is based on Arksey and O'Malley methodology and searched six electronic databases. Two independent reviewers were involved in the screening and graphing of the data. Findings were synthesized and categorized using the five domains of the Consolidated Framework for Implementation Research (CFIR).
Results
A total of 15 studies were included in the final review. Barriers and facilitators were mapped to constructs in 14 of the five domains of the CFIR. The most frequently cited barriers were mapped to constructs within the "intervention characteristics" domain. Similarly, the most frequently mentioned facilitators were derived from the "intervention characteristics". Overall, the intervention content of the existing studies was not generalizable and accessible, whereas other factors such as family involvement in the “process” were effective in facilitating the implementation of the evidence.
Conclusions
This review identifies barriers and facilitators in the implementation of evidence about improving medication adherence in the elderly hypertensive patient. Future research should focus more on how to intervene with barriers and facilitators so that they can actually be implemented to promote improved medication adherence in the elderly hypertensive population.
Awareness for artifacts in fluorescence microscopy of β-TCP
Authors: Waldmann By Marco , Bohner Marc , Baghnavi Anna , Riedel Bianca , Seidenstuecker Michael 
Published: March 2024

Abstract

Fluorescence analysis of β-TCP ceramics is often used to describe cells found on said ceramics. However, we found, to our knowledge, so far undescribed artifacts which might sometimes be hard to differentiate from cells due to shape and fluorescence behavior. We tried prolonged ultrasound washing as well as Technovit 9100 fixation to reduce these artifacts. While untreated dowels showed no reduction in artifacts no matter the further treatment, Technovit fixation reduced the artifacts with even further reduction achieved by mechanical cleaning. As a consequence, scientists working with these dowels and likely even other types should try to avoid creating false positive results by considering the existence of these artifacts, checking additional filters for unusual fluorescence and by reducing them by using Technovit fixation when possible.
Isolation rate and amtimicrobial susceptibility profile of Enterobacteriaceae isolated from wastewater of Jimma Medical Center, Jimma Southwest Ethiopia
Authors: Hasen Husein , Beyene Getenet , Tiku Seid , Mekonnen Mekidim 
Published: March 2024

Abstract
Introduction.
Most hospitals and other health facilities in developing countries like Ethiopia lack wastewater treatment facilities and discharged their wastes into the surrounding water bodies without any form of treatment.
Objective
. The aim of this study is to determine the isolation rate and antimicrobial susceptibility profile of Enterobacteriaceae isolated from Jimma Medical Center (JMC) wastewater.
Methodology.
A cross-sectional study was conducted from July to August 2022 on 60 hospital wastewater samples collected from ten sampling sites at JMC. Isolation and identification of Enterobacteriaceae was performed based on standard bacteriological methods. Antimicrobial susceptibility tests were carried out using Kirby–Bauer disc diffusion method. Data was analyzed using SPSS version 25.0 and Microsoft Excel.
Results.
A total of seven genera of bacteria were isolated. Among the isolated bacteria E. coli 31(51.7%) and Klebssiella spp. 27(45.0%) were the predominant bacteria. The isolates showed comparably high resistance to Amoxicillin/Clavulinic acid (88.4%), Ampicillin (87.0%), Tetracycline (76.5%) and Trimethoprim/sulfamethoxazole (71.9%). The majority of bacterial isolates 101/114(88.6%) were multidrug resistant (MDR).
Conclusion.
The majority of bacterial isolates were multidrug resistance, which act as a reservoir of resistant genes that can be transferred to other bacterial isolate. Therefore, establishing wastewater treatment plant is essential.
Variations in Photoperiods and Their Impact on Yield, Photosynthesis and Secondary Metabolite Production in Basil Microgreens
Authors: Fayezizadeh Mohammad Reza , Ansari Naser Alemzadeh , Sourestani Mohammad Mahmoodi , Hasanuzzaman Mirza 
Published: March 2024

Abstract

Background
The effects of different photoperiods on plant phytochemical synthesis can be improved by adjusting the daily light integral (DLI). Changes in the internal rhythm of the plant and the synthesis and performance of secondary metabolites are largely dependent on environmental factors that control growth, one of the most significant of which is photoperiod. Information about the appropriate standard in terms of photoperiod for growing basil microgreens as one of the most important medicinal plants is limited. In this study, the effects of five different photoperiods, 6 (6 hours × 3 cycles), 8 (8 hours × 2 cycles), 16, 18, and 24 h day− 1 on the yield, photosynthesis and synthesis of secondary metabolites of three cultivars and one genotype of basil microgreens were evaluated. The purpose of this research was to determine the feasibility of using permanent light in growing basil microgreens and to create the best balance between beneficial secondary metabolites and performance.
Results
The results showed that the effects of photoperiod and cultivar on all investigated traits and their interaction on photosynthetic pigments, antioxidant capacity, total phenolic compounds, proline content and net photosynthesis rate were significantly different at the 1% level. The highest levels of vitamin C, flavonoids, anthocyanins, yield and antioxidant potential composite index (APCI) were obtained under the 24-h photoperiod. The highest antioxidant capacity was obtained for the Kapoor cultivar, and the highest total phenolic compound and proline contents were measured for the Ablagh genotype under a 24-h photoperiod. The highest yield (4.36 kg m− 2) and APCI (70.44) were obtained for the Ablagh genotype. The highest nitrate content was obtained with a photoperiod of 18 h for the Kapoor cultivar. The highest net photosynthesis rate was related to the Violeto cultivar under a 24-hour photoperiod (7.89 µmol Co2 m− 2 s− 1). Antioxidant capacity and flavonoids had a positive correlation with phenolic compounds and vitamin C. Yield had a positive correlation with antioxidant capacity, flavonoids, vitamin C, APCI, and proline.
Conclusions
Under continuous light conditions, basil microgreens resistance to light stress by increasing the synthesis of secondary metabolites and the increase of these biochemical compounds made basil microgreens increase their performance along with the increase of these health-promoting compounds. The best balance between antioxidant compounds and performance was achieved in continuous red + blue light. Based on these results, the use of continuous artificial LED lighting, due to the increase in plant biochemical with antioxidant properties and yield, can be a suitable strategy for growing basil microgreens in floating systems.
A general strategy for the synthesis of taxane diterpenes
Authors: Gaich Tanja , Pan Lu , Schneider Fabian , Ottenbruch Moritz , Wiechert Rainer , List Tatjana , Schoch Philipp , Mertes Bastian 
Published: March 2024

Abstract

The construction of molecular carbon frameworks stands as the
fundamental objective of organic chemistry. The carbon skeleton of each organic
molecule serves as the foundation for its three-dimensional structure, playing a pivotal
role in determining its physical and biological properties.1 Within the realm of
synthesis, the ability to access complex molecules while prioritizing skeletal
diversification serves as a crucial factor in advancing the frontiers of efficient synthetic
design.2-4 In line with this pursuit, our team has developed a versatile synthetic strategy
based on interconversion of complex molecular frameworks which enabled a
generalized access to the taxane diterpene family. A wide range of classical and
cyclotaxane frameworks was accessed including,among others, the first total syntheses
of taxinine K (2), canataxapropellane (5) and dipropellane C from a single advanced
intermediate. The synthetic approach deliberately eschews biomimicry, emphasizing
instead potency of stereoelectronic control in orchestrating the interconversion of
polycyclic frameworks.
Murine and human-purified very small embryonic-like stem cells (VSELs) express purinergic receptors and migrate to extracellular ATP gradient.
Authors: Bujko Kamila , Brzezniakiewicz-Janus Katarzyna , Jarczak Justyna , Kucia Magdalena , Ratajczak Mariusz Z. 
Published: March 2024

Abstract

Purinergic signaling is an ancient primordial signaling system regulating tissue development and specification of various types of stem cells. Thus, functional purinergic receptors are present in several types of cells in the body, including multiple populations of stem cells. However, one stem cell type that has not been evaluated for expression of purinergic receptors is very small embryonic stem cells (VSELs) isolated from postnatal tissues. Herein, we report that VSELs purified human umbilical cord blood (UCB) and murine bone marrow (BM) express mRNA for P1 and P2 purinergic receptors and CD39 and CD73 ectonucleotidases converting extracellular ATP (eATP) into its signaling metabolite extracellular adenosine (eAdo), that antagonizes eATP effects. More importantly, we demonstrate that human and murine VSELs respond by chemotaxis to eATP, and eAdo inhibits this migration. These responses to eATP are mediated by activation of Nlrp3 inflammasome, and exposure of VSELs to its specific inhibitor MCC950 abolished the chemotactic response to ATP. We conclude that purinergic signaling plays an essential, underappreciated role in the biology of these cells and their potential role in response to tissue/organ injuries.
Mendelian randomized integration of GEO and eQTL data revealed genes associated with periodontitis
Authors: Jiang Zhong-Hui , Ni Xiao-Bing , Fu Qi-Cheng , Qiu Gui-Ying , Wei Yan-Hong , Song Yu-Hong , He Wei 
Published: March 2024

Abstract
Objective
With the development of genetics and epigenetics, there is increasing evidence that genetic changes influence susceptibility to periodontitis. In this study, Mendelian randomization was used in combination with multi-omics data to determine the causal effect of genes in periodontitis.
Methods
In this study, the RNA-seq dataset of periodontitis was downloaded from GEO database, and the differentially expressed genes in periodontitis were screened by differential analysis. The genes with significant causal relationship with periodontitis were screened by MR Analysis. Further, the differential expression of periodontitis genes and periodontitis-related genes were intersected to obtain the hub genes related to periodontitis. In addition, ROC curve, pearson correlation analysis and CIBERSORT algorithm were also used in this study to explore the efficiency of hub gene diagnosis and immune cell correlation analysis.
Results
Four hub genes (SELL, PLXDC2, C4A, and HSPG2) were obtained by differential expression analysis and MR Analysis in this study. Where HSPG2 (OR = 1.279, 95%CI: 1.087 to 1.504, P = 0.003) and PLXDC2 (OR = 1.259, 95%CI: 1.013 to 1.565, P = 0.038) were positively correlated with periodontitis. However, C4A (OR = 0.843 95%CI: 0.741 to 0.959, P = 0.009) and SELL (OR = 0.903, 95%CI: 0.825 to 0.989, P = 0.028) were negatively correlated with periodontitis. Pearson correlation analysis showed that hub genes were significantly correlated with immune cell infiltration.
Conclusion
This multi-omics integration study identifies a causal relationship between four hub genes and periodontitis and provides potential new therapeutic targets for clinical practice.
Identifying innovations produced by primary health care centers and evaluating their scalability: the SPRINT Occitanie cross-sectional study in France
Authors: VANDEVENTER Alexis , MERCIER Grégoire , BONNEL Christophe , Pissarra Joana , NINOT Grégory , CARBONNEL François 
Published: March 2024

Abstract

Background:
Practice-based research is one of the levers identified by the World Health Organization (WHO) to strengthen primary health care. The scaling of health and social care innovations has thepotential to reduce inequities in health and to expand the benefits of effective innovations. It is now rapidly gaining the attention of decision-makers in health and social care, particularly in high-income countries.
To meet the challenge of declining numbers of primary care physicians in France, Pluri-professional Healthcare Centers (PHC) were created to bring together medical and paramedical professionals. They are a source of innovation in meeting the health challenges facing our populations.
Specific methodology exists to identify health innovations and assess their scalability. A working group, including end-users and specialists, has adapted this methodology to the French context and the University department of general practice of Montpellier-Nîmes (France) launched a pilot study in Occitanie, a French region.
Objective:
To identify and evaluate the scalability of innovations produced in pluri-professional healthcare centers in the Occitanie region.
Methods:
A pilot, observational, cross-sectional study was carried out. The SPRINT Occitanie study was based on a questionnaire with two sections: PHC information and the modified Innovation Scalability Self-Administered Questionnaire (ISSaQ), version 2020. The study population was all 279 PHC in the Occitanie region.
Results:
19.3% (54) of PHC in the Occitanie region, responded fully or incompletely to the questionnaire. Four out of 5 U-PHCs were represented. Five PHC presented multiple innovations. The average per PHC was 1.94 (±2.4) innovations. 26% of them (n=9) had high scalability, 34% (n=12) medium scalability and 40% (n=14) low scalability. The main innovation represented (86%) were healthcare program, service, and tool.
Conclusions:
In our cross-sectional study, a quarter of the innovations were highly scalable. We were able to demonstrate the importance of PHC teams in working on primary care research through the prism of innovations. Primary-care innovations must be detected, evaluated, and extracted to improve their impact on their healthcare system.
Slipped capital femoral epiphysis in an adolescent with congenital adrenal hyperplasia: a case report
Authors: Huang Yifan , Qiao Jinhan , Zheng Jia 
Published: March 2024

Abstract

Background: Slipped capital femoral epiphysis (SCFE) is a common hip problem in adolescents between the ages of 8 and 15. Various endocrine disorders have been reported as the cause of this condition. Here, we describe a rare case of a boy with SCFE secondary to congenital adrenal hyperplasia (CAH).
Case presentation: We report a 12-year-old boy who was admitted to our hospital for right SCFE that was not caused by trauma. The patient was diagnosed with CAH two months after birth and subsequently started long-term treatment with hydrocortisone and 9α-fludrocortisone. From the age of 5, he was treated with growth hormone and gonadotropin-releasing hormone (GnRH) analogs to improve height. After adequate endocrine evaluation and endocrine therapy, the patient underwent surgery for right SCFE.
Conclusion: In previous reports, hypothyroidism, hypopituitarism, and hypogonadism were common endocrine causes of SCFE, but this is the first time that congenital adrenal hyperplasia has been observed. As such, patients who have undergone long-term endocrine treatment for congenital adrenal hyperplasia could potentially be subjected to higher risk for SCFE.
Predictive Modelling of Linear Growth Faltering Among Pediatric Patients with Diarrhea in Rural Western Kenya: An Explainable Machine Learning Approach
Authors: Ogwel Billy , Mzazi Vincent H. , Awuor Alex O. , Okonji Caleb , Anyango Raphael O. , Oreso Caren , Ochieng John B. , Munga Stephen , Nasrin Dilruba , Tickell Kirkby D. , Pavlinac Patricia B. , Kotloff Karen L. , Omore Richard 
Published: March 2024

Abstract

Introduction:
Stunting affects one-fifth of children globally with diarrhea accounting for an estimated 13.5% of stunting. Identifying risk factors for its precursor, linear growth faltering (LGF), is critical to designing interventions. Moreover, developing new predictive models for LGF using more recent data offers opportunity to improve model performance and capture new insights. We employed machine learning (ML) to derive and validate a predictive model for LGF among children enrolled with diarrhea in the Vaccine Impact on Diarrhea in Africa (VIDA) study and the Enterics for Global Heath (EFGH) ― Shigella study in rural western Kenya.
Methods
We used 7 ML algorithms to retrospectively build prognostic models for the prediction of LGF (≥ 0.5 decrease in height/length for age z-score [HAZ]) among children 6–35 months. We used de-identified data from the VIDA study (n = 1,473) combined with synthetic data (n = 8,894) in model development, which entailed split-sampling and K-fold cross-validation with over-sampling technique, and data from EFGH-Shigella study (n = 655) for temporal validation. Potential predictors included demographic, household-level characteristics, illness history, anthropometric and clinical data chosen using an explainable model agnostic approach. The champion model was determined based on the area under the curve (AUC) metric.
Results
The prevalence of LGF in the development and temporal validation cohorts was 187 (16.9%) and 147 (22.4%), respectively. The following variables were associated with LGF in decreasing order: age (16.6%), temperature (6.0%), respiratory rate (4.1%), SAM (3.4%), rotavirus vaccination (3.3%), breastfeeding (3.3%), and skin turgor (2.1%). While all models showed good prediction capability, the gradient boosting model achieved the best performance (AUC% [95% Confidence Interval]: 83.5 [81.6–85.4] and 65.6 [60.8–70.4] on the development and temporal validation datasets, respectively).
Conclusion
Our findings accentuates the enduring relevance of established predictors of LGF whilst demonstrating the practical utility of ML algorithms for rapid identification of at-risk children.