bluuebunny/crossref_metadata_2025_split huggingface dataset:
Integrated analysis of N6-methyladenosine- and 5-methylcytosine-related long non-coding RNAs for predicting prognosis in cervical cancer
Authors: Gao Jie , Zhang Xiuling , Xu Anqi , Li Wei , Gao HaiYan 
Published: September 2024

Abstract
Background
N6-methyladenosine (m6A) and 5-methylcytosine (m5C) play a role in modifying long non-coding RNAs (lncRNAs) implicated in tumorigenesis and progression. This study was performed to evaluate prognostic value of m6A- and m5C-related lncRNAs and develop an efficient model for prognosis prediction in cervical cancer (CC).

Methods
Using gene expression data of TCGA set, we identified m6A- and m5C-related lncRNAs. Consensus Clustering Analysis was performed for samples subtyping based on survival-related lncRNAs, followed by analyzing tumor infiltrating immune cells (TIICs). Optimal signature lncRNAs were obtained using lasso Cox regression analysis for constructing a prognostic model and a nomogram to predict prognosis.

Results
We built a co-expression network of 23 m6A-related genes, 15 m5C-related genes, and 62 lncRNAs. Based on 9 m6A- and m5C-related lncRNAs significantly associated with overall survival (OS) time, two molecular subtypes were obtained, which had significantly different OS time and fractions of TIICs. A prognostic model based on six m6A- and m5C-related signature lncRNAs was constructed, which could dichotomize patients into two risk subgroups with significantly different OS time. Prognostic power of the model was successfully validated in an independent dataset. We subsequently constructed a nomogram which could accurately predict survival probabilities. Drug sensitivity analysis found preferred chemotherapeutic agents for high and low-risk patients, respectively.

Conclusion
Our study reveals that m6A- and m5C-related lncRNAs are associated with prognosis and immune microenvironment of CC. The m6A- and m5C-related six-lncRNA signature may be a useful tool for survival stratification in CC and open new avenues for individualized therapies.
Assessing non-dysfunctional attitudes toward sleep: psychometric properties of the Charlotte Attitudes Toward Sleep scale in Portuguese samples
Authors: Tecedeiro Miguel , Reis Cátia , Marôco João 
Published: September 2024

Abstract
Objectives
To adapt the Charlotte Attitudes Toward Sleep (CATS) scale, the only self-assessment instrument measuring non-dysfunctional attitudes toward sleep, into Portuguese and to study its psychometric properties in a Portuguese sample.

Method
A sample of 1858 participants, recruited through non-probabilistic methods, was randomly split in two subsamples; one was used to develop the CATS model, the other for testing model invariance. We used structural equation models to assess factorial validity, measurement invariance, and relationships with other variables (e.g., the Karolinska Sleep Questionnaire) through confirmatory factorial analysis and causal models using a robust maximum likelihood method with Satorra-Bentler correction.

Results
The CATS factorial model showed excellent evidence of factorial validity (robust CFI = 0.987, TLI = 0.979, SRMR = 0.026, RMSEA = 0.043), good reliability indicators (α and ώ1 > 0.75), and strict invariance of measurement (|∆CFI|< 0.01). CATS factors were weak-to-moderate predictors of sleep behaviors (β < 0.4). The scale showed evidence of divergent validity with the Karolinska Sleep Questionnaire. Some items had significant sensitivity problems and/or did not have adequate factorial weights and had to be dropped from the model.

Conclusions
The CATS is a new and promising scale with solid evidence of validity in terms of internal structure, but with sensitivity issues at item level. Further work should be carried out at item level to increase sensitivity and predictive validity, and further research with other samples, such as clinical sleep medicine patients, should be conducted.
Role of self-criticism in postpartum mental health: a network analysis
Authors: Gerhardt Bruna Cardoso , Serra Jovana Giacobo , Zimmer Camila , Arteche Adriane Xavier 
Published: September 2024

Abstract
Purpose
A significant percentage of women experience psychopathological symptoms during the postpartum period, which can impact not only their mental health and well-being but also the relationship between mother and baby. However, studies investigating how specific psychological factors, such as self-compassion and self-criticism, contribute to the development and maintenance of these symptoms are scarce.

Methods
This cross-sectional study aimed to examine the relationship among compassionate self-responding (CSR), uncompassionate self-responding (USR), maternal mental health indicators, mother-infant bonding, and the perceived impact of the COVID-19 pandemic. Data were collected online from 189 Brazilian women with infants aged 0 to 12 months. Participants completed measures of sociodemographic characteristics, Self-Compassion Scale (SCS), Edinburgh Postnatal Depression Scale (EPDS), Postpartum Specific Anxiety Scale (PSAS-BR-RSF-C), Postpartum Bonding Questionnaire (PBQ), and COVID-19–Impact on Quality of Life (COV19-QoL).

Results
Through network analysis, our findings highlighted that postpartum depression played a central role in the structuring of variables in this system. Furthermore, USR, instead of CSR, emerged as the variable most strongly associated with levels of postpartum depression, which, in turn, was associated with mother-infant bonding.

Conclusion
Mitigating levels of self-criticism in mothers may represent a pathway to prevent the development of postpartum depression, which, in turn, could impact the quality of the mother-infant relationship. Given the significance of the child’s early years for their emotional development, intervening early in maternal mental health may be a means to prevent mental disorders in the child as well.
Internet addiction, sleeping habits and psychological distress in Brazilian adolescents and young adults
Authors: Marin Maísa Gelain , Machado Antônio Bonfada Collares , da Silva Freitas Guilherme , de Almeida Rosa Maria Martins 
Published: September 2024

Abstract
Background
The internet is widespread in modern society and has raised concerns about excessive usage and its consequences for different aging groups.

Objective
This study explores the relationships between internet addiction, sleep patterns, and psychological distress in adolescents and young adults.

Materials and methods
In order to assess this phenomenon, an exploratory cross-sectional study was conducted in southern Brazil from October to December 2023. A questionnaire, administered via Google Forms, collected data from 618 participants aged 15–36. The participants consisted of a non-probabilistic community sample selected based on convenience criteria. Instruments included a sociodemographic questionnaire, the Internet Addiction Test, Depression, Anxiety, and Stress Scale, and Social Media Engagement Questionnaire.

Results
It was categorized 48.1% as having moderate internet addiction, and classified 0.8% as having severe internet addiction. Correlation analysis revealed positive associations between internet addiction and depression, anxiety, and stress. Logistic regression identified internet addiction and overall psychological distress as predictors of sleep difficulties, along with unemployment status. The findings highlight the detrimental impact of excessive internet use on sleep quality and mental health. The bidirectional relationship between internet addiction and psychological distress underscores the complex interplay between these variables.

Conclusions
This study underscores the urgent need for interventions targeting internet addiction and its associated consequences in adolescents and young adults. Addressing internet addiction levels and promoting healthy internet usage habits are crucial steps in mitigating the adverse effects on mental health and sleep quality. There is a need for targeted interventions, protocols, and preventive measures to mitigate the adverse effects of excessive internet use on mental health and sleep quality. Public health strategies should include IA and its consequences in health programs with multidisciplinary approaches and protocols for treatments for behavioral addictions. The study emphasizes the multifaceted nature of internet addiction and its implications for mental health and sleep patterns.
Trained immunity: a revolutionary immunotherapeutic approach
Authors: Salauddin Md. , Nath Sabuj Kanti , Saha Sukumar , Zheng Qingcong , Zheng Chunfu , Hossain Md. Golzar 
Published: September 2024

AbstractTrained immunity is a phenomenon in which brief exposure to an infectious agent or a vaccine can induce long-lasting changes in the host's immune system, enhancing protection against subsequent infections. The concept of trained immunity has a significant impact on the field of immunology and has the potential to revolutionize how we approach vaccination and infectious disease control. Investigations into trained immunity are rapidly advancing and have led to the development of new vaccines and immunotherapeutic strategies that harness the power of this phenomenon. While more investigations are needed to fully understand the mechanisms of trained immunity and its potential limitations, the prospects for its future application in clinical practice are promising. Here, we describe trained immunity as a biological process and explore the innate cues, epigenetic changes, and metabolic reprogramming activities that affect how trained immunity is induced.
Association of Nighttime Sleep Duration at 1.5 Years With Height at 3 Years: The Japan Environment and Children's Study
Authors: Kawai Masanobu , Baba Sachiko , Tanigawa Kanami , Ikehara Satoyo , Kawasaki Ryo , Iso Hiroyasu 
Published: September 2024

Abstract

Context
Adequate nighttime sleep duration has been considered beneficial for linear growth in children; however, there is limited and conflicting evidence regarding the association between sleep duration and subsequent linear growth.

Objective
To investigate the association between sleep duration at 1.5 years and height at 3 years of age.

Methods
The Japan Environment and Children's Study is a nationwide prospective birth cohort study. Data from 52 140 term singleton births born at an appropriate-for-gestational age without background disorders that could potentially affect linear growth in the analyses were included. Nighttime and total sleep durations were calculated based on a self-administered questionnaire completed by caregivers. Tall stature was defined as height at or above the 75th percentile among participants.

Results
After adjustment for height at 1.5 years, sex, monthly age, mother's height, presence of siblings at 1.5 years, environmental tobacco smoke at 1.5 years, daily TV/DVD screen time at 2 years, attendance at nursery at 2 years, household annual income at birth, and parents’ educational status, multivariate odds ratio (95% CI) for tall stature at 3 years were 1.09 (1.01-1.17), 1.09 (1.01-1.17), and 1.25 (1.14-1.37) for 9.5 or 10, 10.5 or 11, and ≥ 11.5 hours of nighttime sleep duration at 1.5 years, respectively, compared with those with ≤ 9 hours sleep (P for trend &lt;.0001). Total sleep duration was not associated with tall stature.

Conclusion
This study underscores the importance of nighttime sleep duration, not total sleep duration, in the linear growth of very young children.
Clinical Outcomes, Costs, and Value of Surgery Among Older Patients with Colon Cancer at US News and World Report Ranked Versus Unranked Hospitals
Authors: Altaf Abdullah , Woldesenbet Selamawit , Munir Muhammad Musaab , Khan Muhammad Muntazir Mehdi , Khalil Mujtaba , Rashid Zayed , Huang Emily , Kalady Matthew , Pawlik Timothy M. 
Published: September 2024

Abstract
Background
US News and World Report (USNWR) hospital rankings influence patient choice of hospital, but their association with surgical outcomes remains ill-defined. We sought to characterize clinical outcomes and costs of surgery for colon cancer among USNWR top ranked and unranked hospitals.

Methods
Using Medicare Standard Analytic Files, patients aged ≥65 years undergoing surgery for colon cancer were identified. Hospitals were categorized as ‘ranked’ or ‘unranked’ based on USNWR cancer hospital rankings. One-to-one matching was performed between patients treated at ranked and unranked hospitals, and clinical outcomes and costs of surgery were compared.

Results
Among 50 ranked and 2522 unranked hospitals, 13,650 patient pairs were compared. Overall, 30-day mortality was 2.13% in ranked hospitals versus 3.68% in unranked hospitals (p < 0.0001), and the overall paired cost difference was $8159 (p < 0.0001). As patient risk increased, 30-day mortality differences became larger, with the ranked hospitals having 30-day mortality of 7.59% versus 11.84% for unranked hospitals among the highest-risk patients (p < 0.0001). Overall paired cost differences also increased with increasing patient risk, with cost of care being $72,229 for ranked hospitals versus $56,512 for unranked hospitals among the highest-risk patients (difference = $14,394; p = 0.02). The difference in cost per 1% reduction in 30-day mortality was $9009 (95% confidence interval [CI] $6422–$11,597) for lowest-risk patients, which dropped to $3387 (95% CI $2656–$4119) for highest-risk patients (p < 0.0001).

Conclusion
Treatment at USNWR-ranked hospitals, particularly for higher-risk patients, was associated with better outcomes but higher-cost care. The benefit of being treated at highly ranked USNWR hospitals was most pronounced among high-risk patients.
Prediction of hypotension during haemodialysis through data analytics and machine learning
Authors: Masum Shamsul K , Hopgood Adrian A , Lewis Robert J , Sangala Nicholas C 
Published: September 2024

Background: Patients undergoing haemodialysis (HD) are often exposed to complications due to their treatment, whether at home or in-centre. Intradialytic hypotension (IDH), the most serious of the adverse effects, is associated with increased mortality. The ability to accurately predict a future episode of IDH would be a clinically useful tool so that preventative measures can be taken, yet no tool for the management and decision-making of IDH has been available until now. This study has aimed to investigate the scope of machine learning (ML) techniques in predicting IDH by analysing various standard clinical variables measured by clinicians. Methods: Using only routinely measured clinical observations, this study has identified the key variables and used machine learning to build an IDH predictor. The dataset comprised 73323 haemodialysis sessions with 36662 IDH events, collected from 3944 patients in 10 centres during 2000–2020. Results: The analysis revealed systolic and diastolic blood pressure (SBP and DBP) as key predictor variables. Patients with IDH had lower pre-dialysis SBP and a greater percentage drop in their SBP during dialysis. They also had lower pre-dialysis DBP and a greater percentage drop in their DBP. The probability of IDH was increased by lower pre-SBP, greater delta-systolic and increased weight loss. A machine-learning model with Random Forest had the highest specificity (73.9%) and highest overall predictive accuracy (75.5%), but a model with Bidirectional Long Short-Term Memory (Bi-LSTM) achieved the highest sensitivity (78.5%) in predicting IDH. Tested on separate validation data, the Bi-LSTM model achieved accuracy 74.09%, sensitivity 74.81%, specificity 73.3% and a ROC-AUC score of 0.816. Using only pre-dialysis data, which would be available at the start of a dialysis session, the prediction performance dropped to accuracy 68.60%, sensitivity 67.40%, specificity 69.81%, and a ROC-AUC score of 0.757. However, as some variables can be measured in real time, the model’s performance can be expected to rise during dialysis toward that of the model using all data. Conclusions: Data analytics and machine learning can help to predict and avoid IDH. A prediction model using ML algorithms offers great promise as a tool in identifying patients at risk of IDH in advance. Moreover, adding the data measured during the dialysis could improve the model further and lead to personalised management and intervention of IDH. Future work will involve building a decision-support system for clinicians and conducting a clinical trial.
Clinical study of ultrasound-guided minimally invasive catheterization combined with compound cortex phellodendri fluid in the treatment of lactational breast abscess
Authors: Wang Na , Gong Lili , Ye Chunmei 
Published: September 2024

Objective
To retrospectively analyze the clinical practicability and value of ultrasound-guided minimally invasive catheterization combined with compound Phellodendron Phellodendri liquid in the treatment of breast abscess during lactation.

Methods
139 patients with lactational breast abscess discharged from our hospital from January 2021 to November 2023 were selected. We divided them into groups according to treatment methods, analyzed whether there were statistical differences in observation indexes among groups and the risk factors affecting breastfeeding rate and treatment satisfaction.

Results
We found that numerical rating scale(NRS) score and incidence of breast fistula in group A were significantly lower than other, the continuous decrease of postoperative drainage in group A was higher than other, there were significant differences among groups (p<0.001). Univariate analysis showed that recovery time, drainage tube placement time, postoperative redness and swelling regression time, scar length, and VAS score of six groups were statistically significant (p<0.001). We found that the overall satisfaction and the rate of continued breastfeeding in group A (96.2%) were higher than other, the differences were statistically significant(p<0.05). Logistic regression analysis revealed that the significant risk factors influencing treatment satisfaction included the time of drainage tube placement, postoperative redness and swelling regression time, treatment group, surgical method, NRS score on the first day after operation, postoperative drainage volume, healing time, scar length, flushing drugs, and VAS score. Postoperative redness and swelling regression time, treatment group, operation method and VAS score are all risk factors that influence the outcome of breastfeeding.

Conclusion
Ultrasound-guided minimally invasive catheterization combined with compound cortex phellodendri fluid in the treatment of breast abscess during lactation can not only reduce the pain caused by dressing change, but also offer numerous advantages, including shorter healing time, beautiful appearance, lower incidence of breast fistula, high satisfaction and high rate of continued breastfeeding.
Implementasi Pendekatan Konstruktivisme pada Pembelajaran Operasi Bilangan Bulat Di PGMI
Authors: Mauluah Luluk 
Published: September 2024

Pendekatan konstruktivisme merupakan proses pembelajaran yang menerangkan bagaimana pengetahuan disusun dalam pikiratt siswa. Implementasi pendekatan konstruktivisme dapat dilakukan dengan prinsip-prinsip PAKEM. Pelaksanaan PAIKEM pada pembelajaran operasi penjumlahan dan pengurangan bilangan bulat dapat dilakukan dengan eksplorasi alat peraga tangga, lantai keramik, garis bilangan dan mainan hewan serta manik-manik dan penyusunan pola matematika. Adapun topik perkalian dan pembagian diimplementasikan dengan eksplorasi pola, konsep lawan bilangan dan konsep I love to hate, I hate to hate.
Peran Penting Belajar Berdasar Regulasi Diri Dalam Meningkatkan Prestasi Belajar
Authors: Latipah Eva 
Published: September 2024

Kajian tentang prestasi belajar sudah banyak dilakukan oleh para ahli. Ini dikarenakan peranannya terhadap banyak aspek kehidupan seperti pekerjaan, medis, sosial, budaya, dan sebagainya. Namun demikian dalam kehidupan sehari-hari masih banyak ditemui rendahnya prestasi belajar pada kalangan pelajar. Hal tersebut dikarenakan banyak faktor, diantaranya adalah karena rendahnya tingkat belajar berdasar regulasi diri yaitu sebuah strategi belajar yang menuntut peserta didik untuk mandiri dan bertanggungjawab atas belajar mereka. Banyak hasil penelitian telah menunjukkan bahwa dengan menggunakan strategi belajar berdasar regulasi diri peserta didik terbukti meningkat prestasi belajarnya. Belajar berdasar regulasi diri terbukti tidak hanya meningkatkan prestasi belajar, tetapi juga bermanfaat untuk meningkatkan kualitas hidup seseorang.
Mengembangkan Komunikasi yang Efektif Dalam Pembelajaran di Kelas
Authors: Huriaty Dina 
Published: September 2024

Proses pembelajaran merupakan proses interaksi antara guru, siswa, dan sumber belajar pada suatu lingkungan belajar. Komunikasi yang baik antara siswa dengan guru dan sebaliknya, menjadikan interaksi antara keduanya dapat berjalan baik. Interaksi antara siswa dan guru akan menjadikan proses belajar mengajar di kelas menjadi sesuatu yang bermakna buat siswa. Komunikasi dapat menjadi media dalam memberikan umpan balik, merespon, dan sarana belajar, baik untuk guru maupun siswa. ]ika komunikasi yang terjadi antara guru dan siswa dapat berjalan efektif, maka pembelajaran mengajar di kelas bukan lagi menjadi hal rutin yang membosankan bagi siswa. Proses pembelajaran akan menjadi suatu kegiatan yang dapat memberikan pengalaman-pengalaman yang menarik dan diminati oleh siswa, sehingga apa yang menjadi tujuan akhir pembelajaran pada khususnya dan tujuan pendidikan pada umumnya akan tercapai.
Mengembangkan Konsep Kurikulum Pendidikan Non-Dikotomik: Suatu Paradigma Baru Pendidikan Islam Indonesia
Authors: Ijudin Ijudin 
Published: September 2024

Tulisan ini dilatarbelakangi oleh adanya paradigma dikotomik dalam pendidikan pada umumnya dan khususnya kurikulum pendidikan Islam. Akar sejarah munculnya pandangan dualisme pendidikan Islam bersumber dari pandangan formisme. Pandangan ini kemudian dikembangkan dalam aspek kehidupan dunia dan akhirat, kehidupan jasmani dan rohani, sehingga pengembangan kurikulum pendidikan Islam hanya dianggap berorientasi pada keakhiratan. Problem klasik tentang dikotomi-dualistik 'ilmu agama' dan 'ilmu umum' ini harus segera dituntaskan baik pada tingkat filosofis-paradigmatik maupun pada teknis departementalnya. Karena, ilmu pengetahuan adalah satu yaitu bersumber dari ayat-ayat Qur 'aniah dan kauniah.
Membangun Karakter Anak Dengan Metode Kisah Qur’ani
Authors: Suyadi Suyadi 
Published: September 2024

Karakter adalah sifat, watak, pembawaan atau kebiasaan yang mendarah daging. tak dapat dibentuk dengan kebiasaan. Sedangkan kebiasaan itu sendiri hanyalah buah dari pola pikir manusia yang bersangkutan. Pada awalnya, manusia yang membentuk kebiasaan tertentu. Tetapi, pada perkembangan selanjutnya, manusialah yang justru akan dibentuk oleh kebiasaannya sendiri. Tulisan ini difokuskan pada pembentukan karakter anak dengan metode pembacaan kisah qur'ani. Dipilihnya metode ini karena kisah dalam Al-Qur'an mengandung hikmah yang mudah diterima anak, sehingga mampu mempengaruhi pola pikir yang berujung pada perubahan kebiasaan. Dengan membacakan kisah-kisah qur'ani, diharapkan anak-anak mampu menangkap pesan karakter edukatif untuk selanjutnya dapat merubah pola pikir dan kebiasaannya, sehingga anak-anak menjadi generasi yang qur'ani.