bluuebunny/crossref_metadata_2025 huggingface dataset:
Systematic Literature Review: Analisis Collaborative Governance Dalam Program Adiwiyata Sekolah
Authors: APRILIANI HANIPAH , Gandhi Pawitan  , Pius Suratman
Published: January 2024

Adiwiyata Sekolah merupakan bentuk komitmen pemerintah melalui pendidikan, terhadap pengelolaan dan perlindungan lingkungan melalui kebijakan yang dibuat oleh pemerintah pada Peraturan Menteri Lingkungan Hidup Nomor 5 Tahun 2013 diterjemahkan menjadi program sekolah Adiwiyata, dan telah berganti dengan Peraturan Menteri Lingkungan Hidup dan Kehutanan Republik Indonesia Nomor P.52/Menlhk/Setjen/Kum.1/9/2019 tentang Gerakan Peduli dan Berbudaya Lingkungan Hidup di Sekolah. Tujuan penelitian ini, untuk melihat bentuk kolarasi yang dilakukan sebagai bentuk kerjasama antara pemerintah dan berbagai pihak, dalam mencapai tujuan adiwiyata sekolah. Penelitian ini menggunakan pendekatan kualitatif (meta-analisis), dengan metode Sistematik Literature Review. Teknik pengumpulan data yang digunakan adalah tinjauan pustaka, dengan menggunakan database google scholar dan menggunakan aplikasi publish or perish, reference manager mendeley. Hasil penelitian ini yaitu, diketahui bentuk kolaborasi antara berbagai pihak, serta peran-peran dalam pelaksanaan program adiwiyata. Sehingga, tercapainya sikap sadar lingkungan pada seluruh warga sekolah, sebagai upaya untuk menanggulangi kerusakan lingkungan.
Trace elements in two endemic fish species (Barbus strumicae, Karaman, 1955 and Squalius оrpheus, Kottelat & Economidis, 2006) of Nestos River (NE Greece): levels, organ bioaccumulation and potential health risk
Authors: Kamidis Nikolaos , Sapounidis Argyrios , Spanos Thomas , Chatzichristou Christina , Topi Vilson , Triantafillidis Stelios , Karampetsis Dimitrios , Papadopoulou Paraskevi , Mitkidou Sophia , Kokkinos Nikolaos , Ene Antoaneta , Stamatis Nikolaos
Published: January 2024

This paper aims to determine the content of eight trace elements (Li, Cr, Co, As, Se, Cd, Pb and Hg) and one radioisotope (238U) in kidney, liver and muscle tissues of two endemic species (Squalius orpheus and Barbus strumicae) from Nestos River (northern Greece), and to evaluate the potential risk to human health due to the consumption of the edible part of the fish. An attempt to distinguish potential differences in bioaccumulation patterns between the examined species and sites was also done. Higher concentrations of all elements were found in kidney and liver tissues for both species, except Hg. The site closer to the river-mouth presented higher concentrations since it receives point and non-point effluents from agricultural activities. On the other hand, an irrigation dam operating close to the upstream station obstructs the free transportation of sediments and suspended matter downstream. As a result, this site is characterized by lower element concentrations. Feeding habits are a significant factor for the metal accumulation in fish; the sediment inhabitant and feeder B. strumicae showed elevated concentrations compared to the water column resident S. orpheus. According to MDI, THQ and TTHQ values calculated for both species, the element bioaccumulation is negligible and the consumption of the fish edible tissue by humans for both species poses zero health risk in developing chronic undesired effects.
Associations between Recurrent COVID-19, Attention, and Mental Health: A Longitudinal Study
Authors: Khodami Mohammad Ahsan , Rostami Mitra , Jalali Hanie , Hosseini Seyed Mohammad , Bagheri Seyran , Kireeva Sofia
Published: January 2024

This two-part longitudinal study examined the impacts of initial and recurrent COVID-19 diagnosis on negative affect (Depression, Anxiety, and Stress) and attention control in undergraduate students during pandemic lockdowns. Study 1 found that first-time diagnosis was associated with significantly higher depression, anxiety, and stress but did not affect attention control. Study 2 showed recurrent diagnosis further worsened mental health outcomes yet was linked to enhanced attentional abilities, contrasting typical condition declines. Within-subjects analysis demonstrated a worsening effect but improved attention control from first to second-time points among repeatedly diagnosed participants. Overall, both initial and recurrent diagnoses severely impact psychological well-being with cumulative mental health tolls, underscoring the need to prioritize supporting mental health. However, attentional resilience emerges, potentially reflecting an adaptive coping response. Continued research tracking patients across multiple infections can clarify relationships between worsening emotions and improved attention, informing interventions to address the multifaceted health impacts of COVID-19 reinfection.
RBM15B Promotes Hepatocellular Carcinoma Progression via IGF2BP1-Mediated ITSN2 mRNA Stabilization
Authors: Xu Yongfang , Xiong Mengqi , Chen Wei , Yao Chengjie , Chen Yunhao , Man Da , Ye Xiujin , Xie Haiyang , Jia Changku
Published: January 2024

Background: N6-methyladenosine (m6A), the most abundant form of RNA chemical methylation, is aberrantly expressed in hepatocellular carcinoma (HCC), where it affects multiple biological processes including targeted RNA splicing, transport, degradation, stabilization, and translation.
Method: The RNA-binding motif protein 15 B (RBM15B) is a pivotal coordinator of m6A activation, such as alternative splicing of mRNA. We investigated the biological effects and potential mechanisms of action of RBM15B in HCC using TCGA database, in-vitro and in vivo assays, and Merip-seq.
Results: High levels of RBM15B, which predicts a poor prognosis, have been identified in patients with HCC. RBM15B promotes HCC propagation and invasion in vitro and in vivo. RBM15B regulates the m6A of intersectin2 (ITSN2) mRNA via insulin-like growth factor 2 mRNA binding protein 1 (IGF2BP1)-facilitated stabilization of ITSN2 mRNA. ITSN2 depletion rescued the tumor-promoting phenotype induced by RBM15B overexpression.
Conclusion: In summary, RBM15B-regulated m6A in ITSN2 facilitates HCC progression via IGF2BP1-guided stabilization of ITSN2 mRNA. Our study illustrates the importance of the RBM15B-IGF2BP1-ITSN2 regulatory axis based on m6A activity and provides new insights into epi-transcriptomic maladjustments of initiation and metastasis in HCC.
Characterization of Usher Syndrome Cell line Genotypes and Elucidation of Novel MicroRNA Biomarkers using MicroRNA Microarray and Droplet Digital PCR
Authors: Tom Wesley , Chandel Dinesh S. , Jiang Chao , Krzyzanowski Gary , Fernando Nirmalee , Olou Appolinaire , Fernando M. Rohan
Published: January 2024

Background:Usher syndrome (USH) is an inherited disorder characterized by sensorineural hearing loss (SNHL), retinitis pigmentosa (RP)-related vision loss, and vestibular dysfunction. USH presents itself as three distinct clinical types 1, 2 and 3, with no biomarker for early detection. This study aimed to explore novel microRNA (miRNA) biomarkers for USH by comparing miRNA expression patterns in cell lines derived from USH patients and control subjects.
Methods:Lymphocytes from USH patients and healthy individuals were isolated and transformed into stable cell lines using Epstein-Barr virus (EBV). DNA from these cell lines was sequenced using a targeted panel to identify gene variants associated with USH types 1, 2, and 3. Microarray analysis was performed on RNA from both USH and control cell lines using NanoString miRNA microarray technology. Dysregulated miRNAs identified by the microarray were validated using droplet digital PCR technology.
Results: DNA sequencing revealed that two USH patients had USH type 1 with gene variants in USH1B (MYO7A) and USH1D (CDH23), while the other two patients were classified as USH type 2 (USH2A) and USH type 3 (CLRN-1), respectively. The NanoString miRNA microarray detected 92 differentially expressed miRNAs in USH cell lines compared to controls. Significantly altered miRNAs exhibited at least a twofold increase or decrease with a p value below 0.05. Among these miRNAs, 20 were specific to USH1, 14 to USH2, and 5 to USH3. Three miRNAs that are known as miRNA-183-family which are crucial for inner ear and retina development have been significantly down regulated as compared to control cells. Subsequently, droplet digital PCR assays confirmed the dysregulation of twelve most prominent miRNAs in USH cell lines.
Conclusion:This study identifies several miRNAs with differential expression in USH patients and their potential utility as biomarkers for Usher syndrome.
Laparoscopic transcystic common bile duct exploration following prior gastrectomy: the safety and feasibility Running head: Laparoscopic transcystic common bile duct exploration
Authors: Huang Jian , Wei Huijun , Chen Xiaopeng , Tang Xinguo , Ran Longjian , Fu Xiaowei , Fang Lu
Published: January 2024

Background
Previous gastrectomy (PG) can lead to an increased incidence of gallstones. The purpose of this study was to evaluate the safety and feasibility of laparoscopic transcystic common bile duct exploration (LTCBDE) for PG patients.
Methods
A total of 300 patients who received LTCBDE in the same center from January 2015 to June 2023 were retrospectively evaluated. According to the PG status, the patients were divided into two groups: PG group and No-PG group. The characteristics of the disease, cystic duct incision method, surgical results and complications were analyzed.
Results
LTCBDE was performed in 300 patients. Among them, 59 patients had a history of gastrectomy. In general, the success rate of LTCBDE was 93%, 1 (0.3%) was converted to laparotomy, 21 (7%) underwent laparoscopic common bile duct exploration + T-tube drainage, and 3 (1%) did not find stones during intraoperative exploration. Complications occurred in 45 (15%). There was no significant difference in postoperative complications between PG group and No-PG group. In multivariate analysis, Calot 's triangle adhesion (hazard ratio (HR): 0.383, 95% confidence interval (CI): 0.185–0.792, P = 0.010) and anatomical variation of bile duct (HR: 0.349, 95% CI: 0.162–0.749, P = 0.007) were risk factors for overall complications.
Conclusions
LTCBDE is safe and feasible for PG patients. With the continuous advancement of technology, LTCBDE has been effectively promoted and applied.
Application of Artificial Intelligence and Machine Learning on Predicting Poor Outcomes in Hemophilia Patients
Authors: Hu Jianzhong , Chen Lu , Rogers Bob , Chandler Martin , Santos Jarren
Published: January 2024

Background
Artificial intelligence (AI) and machine learning (ML) are currently used in the clinical field to improve the outcome predictions on disease diagnosis and prognosis. However, to date, few AI/ML applications were reported in rare diseases, such as hemophilia. In this study, taking advantage of the ATHNdataset, an extensive repository of hemostasis and thrombosis data, we aimed to demonstrate the application of AI/ML approaches to build predictive models to identify persons with hemophilia (PwH) who are at risk of poor outcome and to inform providers in clinical decision-making towards helping patients prevent long-term complications.
This project was carried out in two steps. First, the data were mined from ATHN 7, a subset study of the ATHNdataset, to determine markers that defined “poor outcome.” Second, we applied multiple AI/ML approaches on the ATHNdataset to validate our findings and to develop predictive models to identify PwH at risk of poor outcome. The classical regression-based predictive model was used as a reference to evaluate the performance of various AI/ML models.
Results
Our models included features similarly distributed to response variables of interest, resulting in limited ability to distinguish poor outcome. Low recall (<53%) resulted in no single model reliably predicting poor outcome out of all actual positive cases. Our results suggest that to build a more useful AI/ML model, we may need a larger dataset size along with additional features. Furthermore, our results also showed that most of the AI/ML models outperformed the classical logistic regression model in both model accuracy and precision.
Conclusions
Our study illustarted the potential of using AI/ML modeling in diagnosis and prognosis predictions of rare diseases.
Generalizable deep neural networks for image quality classification of cervical images
Authors: Ahmed Syed Rakin , Befano Brian , Egemen Didem , Rodriguez Ana Cecilia , Desai Kanan , Jeronimo Jose , Ajenifuja Kayode , Clark Christopher , Perkins Rebecca , Campos Nicole , Inturrisi Federica , Wentzensen Nicolas , Han Paul , Guillen Diego , Norman Judy , Goldstein Andrew , Madeleine Margaret , Donastorg Yeycy , Schiffman Mark , de Sanjose Silvia , Kalpathy-Cramer Jayashree
Published: January 2024

Successful translation of artificial intelligence (AI) models into clinical practice, across clinical domains, is frequently hindered by the lack of image quality control. Diagnostic models are often trained on images with no denotation of image quality in the training data; this, in turn, can lead to misclassifications by these models when implemented in the clinical setting. In the case of cervical images, quality classification is a crucial task to ensure accurate detection of precancerous lesions or cancer; this is true for both gynecologic-oncologists’ (manual) and diagnostic AI models’ (automated) predictions. Factors that impact the quality of a cervical image include but are not limited to blur, poor focus, poor light, noise, obscured view of the cervix due to mucus and/or blood, improper position, and over- and/or under-exposure. Utilizing a multi-level image quality ground truth denoted by providers, we generated an image quality classifier following a multi-stage model selection process that investigated several key design choices on a multi-heterogenous “SEED” dataset of 40,534 images. We subsequently validated the best model on an external dataset (“EXT”), comprising 1,340 images captured using a different device and acquired in different geographies from “SEED”. We assessed the relative impact of various axes of data heterogeneity, including device, geography, and ground-truth rater on model performance. Our best performing model achieved an area under the receiver operating characteristics curve (AUROC) of 0.92 (low quality, LQ vs. rest) and 0.93 (high quality, HQ vs. rest), and a minimal total %extreme misclassification (%EM) of 2.8% on the internal validation set. Our model also generalized well externally, achieving corresponding AUROCs of 0.83 and 0.82, and %EM of 3.9% when tested out-of-the-box on the external validation (“EXT”) set. Additionally, our model was geography agnostic with no meaningful difference in performance across geographies, did not exhibit catastrophic forgetting upon retraining with new data, and mimicked the overall/average ground truth rater behavior well. Our work represents one of the first efforts at generating and externally validating an image quality classifier across multiple axes of data heterogeneity to aid in visual diagnosis of cervical precancer and cancer. We hope that this will motivate the accompaniment of adequate guardrails for AI-based pipelines to account for image quality and generalizability concerns.
Oxymatrine Modulation of TLR3 Signaling Pathway: A Dual-Action Mechanism against H9N2 Avian Influenza Virus and Immune Regulation
Authors: Zhi Yan , Liu Zhenyi , Shen Guo , Wang Xiang , Liu Ying , Zhang TAO , Hu Ge
Published: January 2024

Background
H9N2 Avian Influenza Virus (AIV) poses a growing public health threat due to its rapid mutation rate and limited vaccine efficacy. Pulmonary Microvascular Endothelial Cells (PMVECs) play a critical role as a gateway for infection, highlighting the need for alternative therapeutic strategies. This study examines the antiviral potential of Oxymatrine (OMT), a traditional Chinese medicine derivative, against H9N2 AIV in PMVECs.
Purpose
The aim of this study is to explore the efficacy of OMT in modulating antiviral responses and to elucidate its impact on the TLR3 signaling pathway in PMVECs infected with H9N2 AIV.
Study Design and Methods:
Using an array of in vitro assays such as TCID50, CCK-8, RT-qPCR, ELISA, and Western blot, this study evaluated the viral infectivity, cell viability, gene and protein expression levels, and key cytokine levels in PMVECs. Additionally, RNAi technology was employed to silence TLR3 genes to further understand the mechanisms involved.
Results
OMT displayed a dose-dependent inhibitory effect on vital antiviral proteins PKR and Mx1 and modulated the expression of Type I interferons and cytokines including IFN-α, IFN-β, IL-6, and TNF-α. It significantly impacted the TLR3 signaling pathways, affecting downstream components such as NF-κB and IRF-3. TLR3 silencing studies indicated that OMT's antiviral efficacy was not solely dependent on the TLR3 pathway.
Conclusion
Our findings reveal that OMT exhibits a dual-action mechanism by inhibiting H9N2 AIV and modulating immune responses in PMVECs, primarily through the TLR3 signaling pathway. These results lay a promising foundation for the development of OMT as an alternative antiviral therapeutic against H9N2 AIV.
RETRACTED: Effect of foliar selenium application on fermentation, nutrition and microbial community changes in semidry alfalfa silage
Authors: Wang Kexin , Wang Fengdan , Sun Shengnan , Gao Zifeng , Hua Yi , Gao Yongqi , Yang Jie , Guo Yue , Lu Yalin , Zhu Siqi , Hu Guofu , Qin Ligang
Published: January 2024

The authors have requested that this preprint be removed from Research Square.
Knowledge of HIV testing and prevention of mother-to-child transmission among pregnant women, Tripoli -Libya: A cross-sectional study
Authors: Aboulqasim Salha Ali , Aqeelah Hanan Alarabi , Elhshik Elham Ebrahim , Othman Hussain Ben , Abdelhamid Mohamed Hadi Mohamed
Published: January 2024

Background
HIV infection is a major public health concern, especially among pregnant women. Early diagnosis and treatment of HIV can help to prevent transmission of the virus to babies. However, many pregnant women are not aware of their HIV status or do not receive timely testing. This study was conducted to determine the knowledge of pregnant women with HIV/AIDS attending ANC at healthcare centers in Tripoli.
Methods
A cross-sectional study was conducted in five healthcare centers for pregnant women attending ANC follow-up centers. The women were asked about their knowledge of HIV testing and mother-to-child transmission.
Results
This study showed that less than half of all pregnant women (47.9%) reported having been knowledgeable to be tested for HIV, which was a low percentage. The Internet was the primary source of information about HIV/AIDS for 28.2% of the respondents. Almost all pregnant women (98.2%) said they knew about HIV/AIDS. As well as (52.3%) understood how HIV/AIDS could be transmitted from mother to child and the role of antiretroviral drugs. And 71.6% believed that the tests were effective at reducing transmission from mother to child.
Conclusion
Pregnant women were found to have a low level of knowledge in this study. Knowledge must be transformed into action to make a difference. Therefore, health service organizations and other responsible bodies should implement activities that can promote behavioral change. Healthcare providers need to educate pregnant women about the importance of HIV testing and remove obstacles that prevent women from getting tested.
The Relationship Between Microbial Communities in Coffee Fermentation and Sense and Metabolite Profiles of Finished Products
Authors: Todhanakasem Tatsaporn , Tai Ngo , Pornpukdeewattana Soisuda , Charoenrat Theppanya , Young Briana , Wattanachaisaereekul Songsak
Published: January 2024

Coffee is a critical agricultural commodity and is used to produce premium beverages enjoyed by people worldwide. The microbiome of coffee beans has proven to be an essential tool that improves the flavor profile of coffee by creating aromatic flavor compounds through natural fermentation. Study of the microbial diversity of coffee beans has contributed to methods for rapid fermentation, as well as creating better quality of the final product. This study investigated the natural microbial consortium during wet process fermentation of coffee onsite in Thailand. Our study found 64 genera of bacteria and 59 genera of yeast/ fungi present during the fermentation process. A correlation between microbial diversity and biochemical characteristics including flavor, aroma and metabolic attributes was investigated.
Association between cardiometabolic index and biological ageing among adults: a population-based study
Authors: Liu Na , Lin Yong
Published: January 2024

Background
Cardiovascular health (CVH) is closely associated with ageing. This study aimed to investigate the association between cardiometabolic index (CMI), a novel indicator of cardiometabolic status, and biological ageing.
Methods
Cross-sectional data were obtained from participants with comprehensive CMI and biological age data in the National Health and Nutrition Examination Survey from 2011 to 2018. Biological age acceleration (BioAgeAccel) was calculated as an ageing index using eight biomarkers. Weighted multivariable regression, sensitivity analysis, and smoothing curve fitting were performed to explore the independent association between CMI and the acceleration of biological age. Subgroup and interaction analyses were performed to investigate whether this association was consistent across populations.
Results
In 4282 subjects ≥ 20 years of age, there was a positive relationship between CMI and biological age. Each unit increase in CMI was associated with a 16% increase in biological age acceleration [1.16 (1.02, 1.31)] in the fully adjusted models. The participants in the highest CMI quartile had a 149% higher BioAgeAccel [2.49 (2.15, 2.83)] than those in the lowest CMI quartile. In stratified studies, the positive correlation between CMI and biological age acceleration remained consistent across strata. This positive correlation was stronger in female populations.
Conclusions
CMI is positively correlated with biological ageing in adults in the United States. Encouraging lower CMI levels may be advantageous in alleviating ageing.
Symmetrical Supercapacitor with Graphene-Supported Iron Hexacyanoferrate Electrodes: Wide Potential Window and High Energy Density
Authors: Junior Lindiomar Borges de Avila , Arambulo Pablo Cesar Serrano , Quispe Luis Torres , Dantas Adriana , Costa Diogo Pontes , Arizaca Edy E. Cuevas , Chávez Diana Patricia Paredes , Portugal Cesar Danial Valdivia , Müller Christian Klaus
Published: January 2024

In this work, iron hexacyanoferrate (FeHCF) particles have been grown onto graphene substrate through pulsed electrodeposition process. Thus, prepared FeHCF electrode exhibits volumetric capacitance of 88 F cm− 3 (a real capacitance of 26.6 mF cm− 2) and high cycling stability with capacitance retention of 93.7% under deep repeating of 10000 galvanostatic charge-discharge cycles in 1M KCl electrolyte. Furthermore, two identical FeHCF electrodes were paired up in order to construct a symmetrical supercapacitor, which delivers a wide potential window of 2 V in 1M KCl electrolyte, and demonstrates large energy density with an offer of high power density.
Changes in Diabetes Care and Management Practices during the COVID-19 Pandemic
Authors: Vashist Kushagra , Frediani Jennifer K. , Weber Mary Beth , Ali Mohammed K. , Narayan K. M. Venkat , Patel Shivani A.
Published: January 2024

Background
Evidence suggests diabetes management was negatively impacted early in the pandemic. However, the impact of the pandemic on key healthcare services for diabetes control and diabetes self-management practices is less known. We examined changes in diabetes care and management practices before and during the COVID-19 pandemic.
Methods
Population-based data regarding 4 diabetes-related healthcare engagement and 4 self-management indicators were obtained from adults with diabetes surveyed in 19 US States and Washington DC through the Behavioral Risk Factor Surveillance System. Using logistic regression, we estimated changes in the prevalence of each indicator, overall and by sociodemographic subgroups, before (2019; n = 15,307) and during (2021; n = 13,994) the COVID-19 pandemic.
Results
Between 2019 and 2021, the prevalence of biannual HbA1c tests reduced by 2.6 percentage points (pp, 95% CI :-4.8, -0.4), from 75.4–73.1%, and prevalence of annual eye exams fell by 4.0 pp (-6.2, -2.8), from 72.2–68.7%. The composite indicator of engagement with healthcare for diabetes control fell by 3.5 pp (-5.9, -1.1), from 44.9–41.9%. Reductions in engagement with healthcare were largely seen across sex, age, education, employment status, marital status, insurance status, and urbanicity; and were more pronounced among those aged 18–34 and the uninsured. Reductions in engagement with healthcare were seen in several states, with Delaware and Washington DC reporting the largest decrease. Of self-management behaviors, we only observed change in avoidance of smoking, an increase of 2.0 pp (0.4, 3.6) from 84.7–87.1%.
Conclusions
The pandemic had mixed impacts on diabetes care and self-management. The findings suggest a deterioration of the uptake of evidence-based, preventive health services requiring laboratory services and clinical examination for diabetes control during the pandemic. On the other hand, smoking rates decreased, suggesting potential positive impacts of the pandemic on health behaviors in people with diabetes.
MANTRA game analytics: Effectiveness of educational mobile game on knowledge gain and retention of Female Community Health Volunteers (FCHVs) and women in rural Nepal assessed through game analytics
Authors: Mueller Sonja , Stavrianaki Katerina , Boscor Andrei , Saville Naomi , Arjyal Abriti , Baral Sushil , Fordham Maureen , Hearn Gareth , Kostkova Patty
Published: January 2024

Background
Mobile technology can deliver public health interventions to reach remote populations such as unique mHealth interventions aimed at low-literacy audiences in low resource settings. This research study assessed a mobile phone-based serious game that teaches geohazard, maternal, and neonatal health messages. This study is part of the Maternal and Neonatal Technologies in Rural Areas (MANTRA) project: Increasing maternal and child health resilience before, during, and after disasters using mobile technology in Nepal.
Method
In this paper, we develop a novel games analytics method assessing the knowledge gain and retention by the participants using the in-app collected session data of ordered player responses to game questions as they play and progress through the game. For each learning objective in each level we compare our observations (the data gathered from the players and coded as described above) and the expected frequencies (the number we would have seen as observed if the null hypothesis is true) with a chi – squared hypothesis test. Finally the test statistic is used to find the p value and compared to p = 0.05.
Results
Knowledge gain and retention above 25% was calculated for 7 of 30 learning objectives. Results indicate only knowledge gained, so players answering correctly throughout the game are not the focus. In the maternal health module, a p value of < 0.05 was calculated for five learning objectives in level 1 and no significant learning objectives in level 2. The neonatal module level 1 had four learning objectives with significant results, and level 2 had three. The geohazards module showed the lowest significant results of the three modules, with only two significant learning objectives in level 2.
Conclusions
Analyzing the MANTRA mobile health game data showed several successful learning objectives across the three modules of maternal health, neonatal health, and geohazards. Success implies the learning objectives and game help participants gain and retain knowledge, while other learning objectives can be targeted for redesign.
The risk profiles of pregnancy-related intracranial venous thrombosis: a retrospective study in a comprehensive hospital
Authors: Wang Shaoying , Yao Ming , Hu Nan , Liu Juntao , Peng Bin
Published: January 2024

Objectives
To investigate the risk factors and underlying causes of pregnancy-related intracranial venous thrombosis (PCVT).
Methods
A retrospective cohort of 16 patients diagnosed with CVT during pregnancy and postpartum (within six weeks after delivery) in a comprehensive hospital in China between 2009 and 2022 were carefully reviewed, focusing on demographic, clinical, and etiological characteristics, especially underlying causes. We matched 16 PCVT patients with 64 pregnant and puerperal women without PCVT to explore risk factors and clinical susceptibility to PCVT.
Results
PCVT occurred commonly during the first trimester (43.75%) and the puerperium (37.5%). The frequency of anemia, thrombocytosis and thrombocytopenia during pregnancy, dehydration, and pre-pregnancy anemia was significantly higher in women with PCVT than in those without PCVT (P<0.05). Among the 16 patients, five were diagnosed with antiphospholipid syndrome and one were diagnosed with systemic lupus erythematosus. Three patients had distinct protein S deficiency and one had protein C deficiency. Whole Exome Sequencing (WES) was performed for five patients and revealed likely pathogenic mutations associated with CVT, including heterozygous PROC c.1218G > A (p. Met406Ile), heterozygous PROS1 c.301C > T (p. Arg101Cys), composite heterozygous mutation in the F8 gene (c.144-1259C > T; c.6724G > A (p. Val2242Met)) and homozygous MTHFR c.665C > T (p. Ala222Val).
Conclusions
The occur of anemia, thrombocytopenia and thrombocytosis during pregnancy, dehydration and pre-pregnancy anemia suggested a greater susceptibility to PCVT. For confirmed PCVT patients, autoimmune diseases, hereditary thrombophilia, and hematological disorders were common causes. Screening for potential etiologies should be paid more attention, as it has implications for treatment and long-term management.
A Bioinformatic Characterisation of the Glyolytic Enzyme ENO1 as a Biomarker of Breast Cancer Progression
Authors: Giannoudis Athina , Heath Alistair , Sharma Vijay
Published: January 2024

Enolase 1 (ENO1) catalyses glycolysis and is involved in the regulation of multiple signalling pathways. Utilising available online platforms (KM-plotter, ROC-plotter, cBioPortal, G-2-O, MethSurvand, TISIDB), we performed a bioinformatic analysis to establish the prognostic and predictive effects related to ENO1 expression in BC. A network analysis was performed using the Oncomine platform and signalling, epigenetic and immune regulation pathways were explored. ENO1 was overexpressed in all the analysed Oncomine, epigenetic and immune pathways in triple-negative, but not in hormone receptor-positive BCs. In HER2-positive BCs, ENO1 expression showed a mixed profile. Analysis on disease progression and histological types showed ENO1 overexpression in ductal in situ and invasive carcinoma, in high-grade tumours followed by advanced and/or metastasis and was linked to worse survival. High ENO1 expression was also associated with relapse-free, distant metastasis-free and overall survival, irrespectively of treatment and was mainly related to basal subtype. In conclusion, ENO1 overexpression recruits a range of signalling pathways during disease progression conferring a worse prognosis and can be potential utilised as a biomarker of disease progression and/or therapeutic target, particularly in triple-negative and in ductal invasive carcinomas.
Recommendation on Anemia Issue in Indonesia: Should Be More Meso and Macro Level Interest
Authors: makkiyah feda anisah , apriningsih apriningsih
Published: January 2024

Backgrounds. The prevalence of iron deficiency anemia among female adolescents in Indonesia is alarming. This issue has been brought to the forefront in recent publications, emphasizing the urgent need to combat this disease. The findings of this study will serve as a guide for policymakers and strategic interventions aimed at addressing this pressing concern.
Methods. Our team conducted an extensive bibliometric analysis on the prevalence of Anemia among teenage girls in Indonesia from 2010 to 2022. We used relevant keywords to extract published documents from Scopus and evaluated them. Additionally, we analyzed the data and identified trends using VOSviewer version 1.6.18. This tool enabled us to visually represent the publications based on the keywords, countries, and authors.
Results. The issue of Anemia among teenage girls in Indonesia was initially addressed by an author in 2014. Although it gained more attention in 2015, there were no further articles published on the subject by 2017. Roche M.L, a prominent author who focused on this theme, collaborated with other experts such as Mardewi, Raut MK, Zakaria A, Ekayanti, and others. The most searched keywords were divided into two main clusters.
Conclusion. Iron supplementation programs were initiated in 2014 due to regulations from the Indonesian Ministry of Health. However, it is concerning that current publications have primarily focused on micro-level perspectives, neglecting crucial meso and macro-level viewpoints. It is imperative that all levels of analysis are considered to ensure the success and effectiveness of these programs.
Preparation and Room Temperature Phosphorescent Properties of Cd(II) Homo- and Zn(II)Cd(II) Heterometallic Coordination Polymers Microstructures
Authors: Xu Mengxia , Wu Rao , Wang Shengqian , Xu Hualan , Zhong Shengliang
Published: January 2024

The preparation of coordination polymers with good room temperature phosphorescence is the focus of current research. In this paper, zinc and cadmium were used as metal ions and 2,3-pyridinedicarboxylic acid (2,3-H2pydc = 2,3-pyridinedicarboxylic acid) as organic ligands to successfully synthesize Cd(II) homo- and Zn(II)Cd(II) heterometallic coordination polymers microstructures. In addition, morphology, powder X-ray diffraction (PXRD), infrared spectroscopy (IR), thermogravimetric analysis (TGA) and their luminescence properties were studied. Cd-CP is a micron-sized spherical structure, while Zn/Cd-CP is a flower-like structure formed by the accumulation of sheets. The results show that Cd(II) homo- and Zn(II)Cd(II) heterometallic coordination polymers have quantum yields of 10.05% and 8.54%, respectively. It is worth noting that the lifetime of Cd-CP is 124.62 ms, while the lifetime of Zn/Cd-CP is significantly extended to 363.09 ms after doping with metal ion Zn2+. The phosphorescent lifetime of coordination polymers was improved by the heterometallic doping strategy, which provided a new idea and method for the preparation of coordination polymers with long-lived room temperature phosphorescent properties. In addition, the two coordination polymers exhibited blue and cyan fluorescence at 365 nm UV light, respectively, and a green afterglow of about 2 seconds could be observed with the naked eye when the UV lamp was turned off.
Patient Satisfaction Following Trifocal Intraocular Lens Implantation with Phacoemulsification
Authors: Cleary Sean M. , Orgul Sarp , Crane Elliot S. , Schultze Robert L.
Published: January 2024

Purpose
To evaluate the rates of patient satisfaction following multifocal intraocular lens implantation with the PanOptix lens, and to identify pre- and post-operative patient characteristics that may predict future dissatisfaction.
Methods
This was a retrospective chart review study based in a private clinical practice in Albany, New York, USA. The first 78 consecutive trifocal intraocular implantations (PanOptix, Alcon) starting in 2019 were investigated. Exclusion criteria included subjects with less than one month of follow-up, or who did not respond to the post-operative survey. Data collection included refractive history, medical comorbidities, pre- and post-operative visual acuity, and refractive error. Subjective outcomes and satisfaction were assessed with patient phone calls.
Results
Of the 78 identified patients, 68 responded to the survey. 90% (61/68) of patients were satisfied with trifocal IOL Implantation. Pre-operatively, mean age, sex, pre-operative uncorrected and corrected distance visual acuity demonstrated no significant difference between satisfied and dissatisfied patients (P = 0.066, P = 0.69, P = 0.38, and P = 0.91 respectively). Dissatisfied patients had a significantly flatter mean pre-operative keratometry than satisfied patients (P = 0.049). Post-operatively, there was no significant difference in reported rates of bothersome glare/halos (P = 0.22). Unsatisfied patients had significantly higher rates of glasses use overall than satisfied patients (P = 0.002).
Conclusion
While patients are generally satisfied with their trifocal IOLs, flatter preoperative keratometry and greater cylinder on post-operative MRx correlates with greater dissatisfaction. Additionally, higher absolute and higher than expected rates of dependence on spectacle correction may play a larger role than dysphotopsia in satisfaction.
Increased blastomere number in D3 embryos is associated with higher live birth rates in vitrified– thawed single blastocyst transfer cycles
Authors: Zheng Weiwei , Lin Sheng , He Yichao , Han Lu , Cui Yuanyuan , Ma Congshun , Jiang Ronghua , Tan Yumei , Song Ge
Published: January 2024

Background The number of D3 embryo blastomeres affects pregnancy outcomes in patients undergoing cleavage-stage embryo transfer. However, the association between blastomere number in D3 embryos and pregnancy outcomes after vitrified–thawed single blastocyst transfer remains unknown.Methods This retrospective cohort follow-up study included 2,274 cases of vitrified–thawed single blastocyst transfer,all patients were divided into six groups according to blastomere number of D3 embryos: ≤5, 6, 7, 8, 9, and ≥ 10 cells. The primary outcome was the live birth rate (LBR). The secondary outcomes were the clinical pregnancy rate, miscarriage rate, and neonatal outcomes. Statistical analyses were performed using a multivariate logistic regression model to explore the association between blastomere number in D3 embryos and LBR.Results The LBR significantly increased with the number of blastomeres in D3 embryos (28.4%, 36.4%, 42.5%, 46.1%, 45.2%, and 58.1%; p < 0.001). Furthermore, the results of the high- and low-quality blastocyst subgroup analyses showed significant differences in the LBR among the groups (p < 0.01). As the number of blastomeres in D3 embryos increased, the miscarriage rate significantly decreased (23.3%, 18.6%, 14.0%, 15.9%, 13.6%, and 8.9%; p < 0.05). However, the number of blastomeres did not affect perinatal outcomes. Multivariate logistic regression analysis after adjusting for confounding factors revealed significantly decreased LBR in the ≤ 5-cell group (adjusted odds ratio [aOR]: 0.627, 95% confidence interval [CI]: 0.442–0.891; p < 0.01) and significantly increased LBR in the ≥ 10-cell group (aOR: 1.612, 95% CI: 1.230–2.112; p < 0.01) compared with that in the 8-cell group.Conclusions The number of blastomeres in D3 embryos may be an important factor in selecting blastocysts during vitrified–thawed single blastocyst transfer cycles. The transfer of a single blastocyst arising from ≥ 10-blastomere D3 embryo may reduce the miscarriage rate and improve LBR.
Learning symmetry-aware atom mapping in chemical reactions through deep graph matching
Authors: Astero Maryam , Rousu Juho
Published: January 2024

Accurate atom mapping, which establishes correspondences between atoms in reactants and products, is a crucial step in analyzing chemical reactions. In this paper, we present a novel end-to-end approach that formulates the atom mapping problem as a deep graph matching task. Our proposed model, AMNet (Atom Matching Network), utilizes molecular graph representations and employs various atom and bond features using graph neural networks to capture the intricate structural characteristics of molecules, ensuring precise atom correspondence predictions. Notably, AMNet incorporates the consideration of molecule symmetry, enhancing accuracy while simultaneously reducing computational complexity. The integration of the Weisfeiler-Lehman isomorphism test for symmetry identification refines the model's predictions. Furthermore, our model maps the entire atom in a chemical reaction, offering a comprehensive approach beyond focusing solely on the main molecules in reactions. We evaluated the performance of the model on a subset of USPTO reaction datasets, and the result reveals an average accuracy of 97.3% on mapped atoms and a top@10 accuracy of 99.7%, indicating 99.7% of reactions are correctly mapped when the correct mapped atom is in the first top 10 predicted atom.
Diversity-On: A diversity-sensitive online self-help program for family caregivers: A protocol for a mixed methods study
Authors: Annac Kübra , Basyigit Mualla , Öztürk Sümeyra , Örs Ela Rana , Aksakal Tugba , Kuhn Christina , Rutenkröger Anja , Tezcan-Güntekin Hürrem , Yilmaz-Aslan Yüce , Brzoska Patrick
Published: January 2024

Background
Scientific research has consistently emphasized the high levels of stress encountered by family caregivers of individuals living with dementia. However, conventional self-help approaches remain underused. The 'Diversity-On' study addresses this issue. Based on a storytelling approach, it develops and evaluates an online self-help program that is participatory and diversity-sensitive, ensuring congruence with diverse identities and lifeworlds.
Methods
The study uses a mixed-methods design, consisting of eight work packages. These comprise: (WP 1) the establishment of a council of family caregivers (N = 12) and an expert advisory board, (WP 2) secondary data analyses (N = 32), (WP 3) development and implementation of story boards, (WP 4) participant recruitment for the online support groups (N = 156), (WP 5) implementation of the intervention, (WP 6) process evaluation (N = 20), (WP 7) outcome evaluation (quantitative N = 130, qualitative: N = 20) and (WP 8) dissemination and validation of findings. The study's principal feature is its robust participatory strategy, incorporated across the research process and extending to all work packages. The study relies on partnerships with a broad range of stakeholders who unequivocally advocate for patient concerns.
Discussion
Given its participatory methodology and intersectional perspective, the ‘Diversity-On’ study is expected to yield several significant outcomes. It has the potential to empower family caregivers of individuals living with dementia who are under high stress, empowering them to take part in self-help ventures despite multiple barriers, thus easing their burden. Additionally, it has the capacity to safeguard the well-being of caregiving relatives who are overburdened by excessive demands. The study’s objective is to maintain home care arrangements for an extended period, in line with the values and aspirations of care recipients and their families. The study intends to develop and assess a precisely-customized online self-help resource, suitable for a diverse range of users, to remain accessible even beyond the study's duration.
Assessing predictive abilities of hazard-based regression models for survival data: a tutorial for prognosis modelling
Authors: Fournier Marguerite , Rubio Francisco Javier , Chartier Loïc , Maringe Camille , Belot Aurélien
Published: January 2024

Predicting the occurrence of an event over time for a newly diagnosed individual is a common aim in medical statistics. For time-to-event outcomes, this prediction is typically based on a regression model. The Cox proportional hazard (PH) model represents one of the most popular regression models for analysing time-to-event data. However, several flexible models that go beyond the assumption of proportionality of hazards have been recently developed. These include flexible hazard-based models using splines or models based on more general hazard structures. In these 2 types of models, non-linear associations and time-varying regression coefficient(s) can be easily included. Assessing the predictive ability of a hazard-based regression model is necessary to validate a predictive model but it might prove difficult for models other than the Cox PH model. We present a tutorial which explains how the predictive ability of hazard-based regression models can be assessed, focusing on the 3 commonly used performance measures. We report (i) the overall prediction ability using prediction error curve and the Brier score, (ii) the discriminative ability using the cumulative/dynamic area under the receiving operator characteristic curve, and (iii) the calibration ability, i.e., the agreement between observed and predicted probabilities, using calibration plots and graphical comparison between predicted and observed survival. We provide an implementation of these methods in R together with an illustrative example using a publicly available data set.
Identification of marophage-related biomarkers in acute myocardial infarction (AMI) by bioinformatic analysis and clinical validation Running title: Macrophage-related biomarkers in AMI
Authors: Xi Xiangwen , Chen Yu , Qian Zhipeng , Xie Xianwei , Tian Jiangtian , Fu Qiang , Gu Xia
Published: January 2024

Background
Although reperfusion therapy is widely performed in patients with acute myocardial infarction (AMI), the residual risk of poor prognosis remains substantial. As important immune cells involved in the body's inflammatory response, macrophages are differentiated from monocytes that have been recruited to tissues, and their polarisation status has a significant impact on the development and prognosis of AMI. There are no recognised macrophage-associated key regulators that play an important role in the development of AMI.
Objective
The study aimed to identify potential biomarkers associated with macrophages for the early recognition and intervention of AMI.
Methods and results
Three datasets which can be obtained publicly (GSE48060, GSE66360, and GSE97320 datasets) from the Gene Expression Omnibus (GEO) database were analysed to identify differentially expressed genes (DEGs) using peripheral blood tissue samples from 83 AMI patients and 74 normal individuals. Subsequent WGCNA analysis was performed and 387 genes with the most significant correlations with macrophages were identified. Then, intersecting 192 DEGs with 387 genes from WGCNA, a total of 151 overlapping genes were found. Protein-protein interaction (PPI) network analysis were performed to identify the hub genes. Further we recruited 44 individuals and colleted blood samples to validate the stability and reliability of the predicted hub tragets toll-like receptor 2 (TLR2), toll-like receptor 2 (TLR4), toll-like receptor 8 (TLR8), matrix metalloproteinase 9 (MMP9) and tyrosine kinase binding protein (TYROBP) using qRT-PCR assay. As a result, TLR2, TLR4, TLR8, MMP9 and TYROBP were identified as the marophage-related biomarkers in AMI.
Conclusions
The macrophage-related genes TLR2, TLR4, TLR8, MMP9 and TYROBP may enable timely detection of AMI, leading to prompt intervention and better prognosis.