bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluating the Effectiveness of Laser Peripheral Iridotomy on Angle-closure Diseases: The Role of Spectral Domain Anterior Segment Optical Coherence Tomography (SD AS-OCT) in Indonesia Tertiary Eye Hospital
Authors: Rifada Maula , Ramdhani Rizki Fasa , Nadifa Iffa , Gustianty Elsa , Umbara Sonie , Prahasta Andika , Irfani Irawati , Knoch Andrew M. H. , Virgana Rova 
Published: February 2025

Background
Laser Peripheral Iridotomy (LPI) is a management approach in primary angle-closure disease by eliminating the presence of a pupillary block. Spectral Domain Anterior Segment Optical Coherence Tomography (SD AS-OCT) can measure the anterior chamber parameters quantitatively.

Objective
To determine the difference in anterior biometric parameters before and after LPI using SD AS-OCT in primary angle closure disease.

Methods
This is an analytical observational study with a cross-sectional method. A total of 22 eyes were included and underwent LPI. The angle opening distance (AOD 500 and 750), trabecular iris space area (TISA 500 and 750), anterior chamber depth (ACD), anterior chamber width (ACW), anterior chamber area (ACA), and lens vault (LV) was measured using SD AS-OCT before and 1 week after LPI. Statistical tests were performed with paired t-test or Wilcoxon's alternative test.

Results
We conducted LPI in 22 eyes with primary angle closure disease (9 eyes Primary Angle Closure Suspect (PACS), 7 eyes Primary Angle Closure (PAC), and 6 eyes Primary Angle-Closure Glaucoma (PACG)). There was a significant decrease of intraocular pressure (p=0.001) and a significant increase of mean values for AOD500, AOD750, TISA500, and TISA750 (p=0.0001) before and 1-week after LPI. The anterior segment showed statistically significant change in ACD, ACW, and ACA before and after LPI (p=0.006, p=0.001, p=0.049; respectively). The changes of LV did not show any statistically significant difference (p=0.770).

Conclusion
There was a significant difference in anterior biometric parameters in angle closure disease. Laser Peripheral Iridotomy could widen the anterior chamber and the angle.
Leveraging Magnetic Nanoparticles for modern Oncology: Revolutionary Approaches to Colorectal Cancer Treatment and Future Advancements
Authors: Patil Chethan , Naik Prasiddhi , T Mallamma , Goudanavar Prakash 
Published: February 2025

Abstract:
Magnetic nanoparticles (MNPs) represent a transformative advancement in the fight
against cancer. They offer an innovative method for diagnosing the condition, managing its symptoms,
and monitoring its progression in real-time. This paper explores the extraordinary potential of
MNPs to revolutionize cancer therapy through advanced imaging methods, magnetic hyperthermia,
and targeted drug delivery. Medical experts can now accurately target tumors using MNPs while
inflicting minimum damage to healthy cells. The future innovation of personalized magnetotheranostic
will involve MNPs by integrating real-time diagnostics with tailored treatment regimens
based on the molecular profile of each patient's malignancy. MNPs will transform cancer immunotherapy
through liquid biopsies for early cancer detection, gene therapy for resistant tumors, and
immune modulation. Drug resistance and tumor recurrence represent significant challenges in oncology;
nevertheless, MNPs, with breakthroughs such as biodegradable nanoparticle designs and enhancements
facilitated by artificial intelligence, provide considerable promise for addressing these
issues. Safer, more effective, and personalized cancer treatments are attainable, and this review illustrates
the unequivocal potential of MNPs as a versatile, patient-centric strategy. In the future, MNPs
may offer promise to cancer patients globally by enhancing survival rates and transforming cancer
treatment to be more precise, minimally invasive, and adaptable.
Implicaciones del cuidado de nietos en contextos críticos vulnerables sobre la salud de las abuelas
Authors: Bastidas Erazo Ana Maria 
Published: February 2025

Introducción. Los cambios socioeconómicos actuales han llevado a un aumento en la responsabilidad de las abuelas en el cuidado de sus nietos, lo que puede tener un impacto negativo en su salud. Objetivo. Describir las implicaciones del cuidado de nietos en contextos críticos vulnerables sobre la salud de las abuelas de Cali, Colombia (comunas 13 y 14). Método. Utilizando una metodología etnográfica enfocada, durante 9 meses participaron 11 abuelas cuidadoras de nietos de 0 a 6 años. De manera paralela a la recolección de información mediante la observación participante se llevó a cabo entrevistas semiestructuradas y diario de campo. Resultados. Los hallazgos revelan cuatro temas culturales que influyen en la vida diaria de estas abuelas: la historia personal de la abuela, el trabajo doméstico no remunerado, el contexto familiar agresivo y el impacto de las responsabilidades en la salud de la abuela. Conclusión: El cuidado de los nietos en entornos críticos o vulnerables emerge como un determinante social crucial para la salud de las abuelas. La pobreza, la inseguridad y la violencia han traspasado las fronteras del hogar, dejando a las abuelas expuestas a tensiones adicionales. La pérdida de su derecho a participar en las decisiones del hogar puede llevarlas a sentirse marginadas. Es fundamental que enfermería aborde esta problemática mediante la formulación de planes de mejora específicos, como programas de educación para padres. De esta manera, se pueden implementar estrategias efectivas para apoyar la salud y el bienestar de las abuelas cuidadoras en estos entornos desafiantes
Enhanced hybrid classification model algorithm for medical dataset analysis
Authors: Kumar N. , T. Christopher  
Published: February 2025

The medical industry generates a significant volume of data that requires effective machine learning models to make accurate predictions for public healthcare. Current Machine Learning (ML) techniques have limitations in feature extraction and classifier accuracy. In this paper using diabetes dataset classification, to address these issues, propose a novel algorithm that enhances Hybrid Classification Model approach by integrating advanced methods tailored for high-dimensional medical data. To handle Missing Values (MV) and outliers, a hybrid imputation approach that combines K-Nearest Neighbor (KNN) and Multivariate Imputation by Chained Equations (MICE) is initially used to preprocess the datasets. Feature extraction (FE) is performed using Deep Feature Extraction techniques, including Convolutional Neural Networks (CNNs) and Autoencoders, followed by Feature Fusion to create a comprehensive feature set. For Feature Selection (FS), introduce an Advanced Ensemble Feature Selection method employing Genetic Algorithm-Based Feature Selection (GAFS), Multi-Objective Evolutionary Algorithm (MOEA), and Relief-Based Methods to identify the most relevant features. Finally, classification is achieved through a Hybrid Classification Model incorporating Ensemble of Classifier with Stacked Generalization (Stacking), Boosting, Bagging and Neural Network (NN) Enhancements with attention mechanisms (AM) and Transfer Learning (TL). This integrated approach enhances the robustness and accuracy of medical data classification. Comparing the suggested approach with current methods, the experimental outcomes show a considerable improvement in accuracy (A), sensitivity (S), specificity (SP), and reduced execution time (ET).
Gastric cancer causing Schnitzler’s metastasis: case report and systematic review of the features
Authors: Xue Huimin , Yang Xiaomei , Shen Qing , Qu Jinglei , Qu Xiujuan , Chen Ying 
Published: February 2025

Background: Rectal metastasis from gastric cancer (GC), also known as Schnitzler’s metastasis, is a rare phenomenon. The clinicopathological characteristics, outcomes, and prognostic factors of this condition remain poorly understood.
Methods: We describe a case of GC causing Schnitzler’s metastasis and present a systematic review on case reports and case series. Data extracted and analyzed include clinicopathological features, treatment modalities received, outcomes, and follow-up.
Results: A total of 34 records, including our own, encompassing 41 cases were incorporated into the study. The median age of patients at admission was 59 years, with females accounting for 53.7% of cases. The predominant histological subtype of Schnitzler’s metastasis was moderate-to-poorly differentiated adenocarcinoma, representing 31 cases (86.1%). Among the patients in this cohort, 38.9% exhibited signet-ring cell carcinoma. Regarding the initial diagnosis of GC, 28.6% were categorized as stage IIIA, and 28.6% were classified as stage IV. The median overall survival (OS) time was 72 months (95% confidence interval [CI]: 27-NA), while the median OS since the diagnosis of metastatic cancer was 16 months (95% CI: 9-NA).
Interpretation: Schnitzler’s metastasis presents a challenge in the pathology of colorectal endoscopy and may lead to treatment delays. Imaging features such as increased thickness of the intestinal wall and significant layered enhancement can aid in diagnosis; however, deep core biopsy of intestinal lesions remains the gold standard for diagnosing rectal metastases. Accurately distinguishing rectal metastases from primary rectal cancer is crucial for preventing unnecessary therapeutic interventions.
Oral health-related quality of life in children attending university special needs and paediatric dental clinics in Trinidad and Tobago: A parental perspective
Authors: Balkaran Ramaa , Lahti Satu , Ramroop Visha , I. Virtanen Jorma 
Published: February 2025

Objective: To analyse the Oral Health-Related Quality of Life (OHRQoL) of 6–18-year-old children visiting the special needs and paediatric dental clinics of the University of the West Indies (UWI).
Material and methods: Parents/caregivers of all 6–18-year-old children (n = 201) attending the Special Needs Dental Clinic (SNDC) and Child Dental Health Clinic (CDHC) were recruited. The Oral Health Impact Profile (OHIP-14), shortened version, was employed. Outcomes calculated were severity, prevalence, and OHIP-14 domains. Chi-square and Mann-Whitney U tests, and logistic regression models served for statistical analyses.
Results: Parents/caregivers of children with disabilities (n = 101) and without (n = 100) participated. The mean age of the children was 10.6 (3.4 standard deviation [SD]) from the SNDC and 11.3 (2.8 SD) from the CDHC. The OHRQoL differed slightly between mean severity scores for children with disabilities (6.41 ± 9.09) and without (7.01 ± 6.87) (p = 0.020). When adjusted for confounders, OHIP-14 impacts perceived occasionally, daily or very often, children with disabilities had poorer OHRQoL.
Conclusions: The overall OHRQoL among the children visiting the UWI dental clinics was poor. The OHRQoL was poorer in children with disabilities in terms of oral impacts perceived occasionally, daily or very often. Children attending for ‘pain and filling’ had higher odds of having OHIP-14 impact than others.
Upaya perlindungan terhadap korban kekerasan seksual oleh P2TP2A
Authors: Tristiadina Arini , Dewi Susi Fitria , Isnarmi Isnarmi , Muchtar Henni 
Published: February 2025

Penelitian ini bertujuan untuk menganalisis bagaimana upaya perlindungan teradap korban kekerasan seksual yang dilakukan oleh P2TP2A Kabupaten Pesisir Selatan, kedua untuk menganalisis bagaimana dampak positif bagi korban setelah mendapatkan penaganan dari P2TP2A Kabupaten Pesisir Selatan. Jenis penelitian yang digunakan adalah penelitian kualitatif dengan menggunakan metode deskriptif. Hasil penelitian menunjukan bahwa pertama, upaya perlindungan terhadap korban kekerasan seksual yang dilakukan oleh P2TP2A adalah menjaga kerahasiaan identitas dan keamanan informasi korban, mendampingi pemeriksaan kesehatan fisik korban, mendampingi pemulihan psikis korban, membantu proses penyelesaian kasus ke pengadilan. Kedua, dampak positif bagi korban kekerasan seksual setelah mendapatkan penanganan dari P2TP2A yaitu rasa aman bagi korban, hilangnya rasa trauma dan takut korban, penegakan hukum bagi korban.
Korelasi kemudahan penggunaan platform belanja online terhadap sikap konsumtif mahasiswi
Authors: Amelia Denia , Ananda Azwar , Montessori Maria , Indrawadi Junaidi 
Published: February 2025

Penelitian ini bertujuan untuk mengetahui hubungan antara kemudahan penggunaan platform belanja online dengan sikap konsumtif mahasiswi. Misalnya gaya hidup yang trendy dianggap sebagai kompetisi fashion sehingga banyak mahasiswi mengalami tekanan psikologis yang parah hingga mengambil tindakan ekstrim seperti bunuh diri, karena terjebak dalam hutang dan pinjaman online yang diambil untuk memenuhi gaya hidup konsumtif mereka serta adanya kemudahan dalam mengakses platform belanja online. Penelitian ini menggunakan pendekatan kuantitatif, sedangkan Teknik pengambilan sampel dengan menggunakan proportionate stratified random sampling dengan dilakukan melalui penyebaran kuesioner. Berdasarkan hasil penelitian dan pembahasan dapat ditarik kesimpulan mengenai hipotesis dalam penelitian ini adalah adanya hubungan yang positif dan signifikan antara kemudahan penggunaan platform belanja online dengan sikap konsumtif. Dapat diartikan semakin mudah platform belanja online digunakan, semakin tinggi tingkat sikap konsumtif dikalangan mahasiswi. Kemudahan penggunaan disini mencakup berbagai aspek seperti navigasi yang sederhana dan proses transaksi yang cepat dan efisien. Sebaliknya semakin susah penggunaan platform belanja online maka semakin rendah sikap konsumtif.
Enhancing effect of Na2SeO3 on the growth and physiological parameters of Vitis vinifera × labrusca 'Shuijing' under nitrogen deficiency and underlying transcriptomic mechanisms
Authors: Zhang Yongfu , Mo Liling , Li Xiaoqin , Wang Kai , Qiao Zuqin , Liu Zhao 
Published: February 2025

ABSTRACT
The differences in physiological characteristics and transcriptional response of grape growth under Na2SeO3 treatment with nitrogen deficiency are explored, and selenium- and nitrogen-responsive genes are screened. Grape cuttings were divided into seven groups: Control, 0.1Se + 15N, 0.2Se + 15N, 0.4Se + 15N, 0.1Se, 0.2Se, and 0.4Se. Morphological and physiological characteristics in different groups were determined, and transcriptome sequencing was analysed. Net increases in plant height, stem diameter, root volume, biomass, and contents of flavonoids, soluble sugar, and nitrogen in the leaves were higher in the 0.2Se + 15N groups than in the Se groups. 0.2Se + 15N versus Control, 0.2Se versus Control, and 0.2Se versus 0.2Se + 15N had 1196, 2238, and 1980 differentially expressed unigenes (DEGs), respectively. Analysis of these DEGs revealed that, under nitrogen supply conditions, Na2SeO3 treatment regulated the upregulation of some gene activities of stilbene synthase, phenylalanine ammonia lyase, 4-coumarate-COA ligase, and α-trehalose phosphate synthase; under nitrogen deficiency conditions, genes encoding auxin and gibberellin were upregulated after Na2SeO3 treatment; the expression of these genes plays an important role in regulating the growth of grape plants. The study elucidated the mechanism by which Na2SeO3 promotes plant growth under both nitrogen supply and nitrogen deficiency conditions.
Hypercapnia outcome in COVID-19 acute respiratory distress syndrome patients on mechanical ventilator: A retrospective observational cohort
Authors: Rasheed Sarwat , Javed Sidra , Rasheed Thanyat , Farman Shaiza , Shalim Elisha 
Published: February 2025

Abstract

Introduction
Acute respiratory distress syndrome (ARDS) is characterized by progressive lung inflammation which leads to increased dead space that can cause hypercapnia and can increase the risk of patient morbidity and mortality. In an attempt to improve ARDS patient outcomes provision of protective lung ventilation has been shown to improve patient mortality but increases the incidence of hypercapnia. Therefore, the role of carbon dioxide in ARDS remains contradicted by conflicted evidence. This study aims to examine this conflicting relationship between hyper-capnia and mortality in mechanically ventilated COVID-19 ARDS patients.

Methods
We conducted a retrospective cohort study. The data was collected from the medical records of the patients admitted with COVID-19 ARDS in Sindh Infectious Disease Hospital & Research Centre (SIDH & RC) from August 2020 to August 2022 and who received mechanical ventilation for more than 48 hours. The patients were grouped into severe and no severe hypercapnia groups based on their arterial blood carbon dioxide levels (PaCO2). To understand the effect of hypercapnia on mortality we performed multivariable logistic regression, and inverse probability-weighted regression to adjust for time-varying confounders.

Results
We included 288 patients to detect at least 3% of the effect on mortality. Our analysis revealed an association of severe hypercapnia with severe lung injury, low PaO2/FiO2, high dead space, and poor compliance. In univariate analysis severe hypercapnia showed higher mortality: OR=3.50, 95% CI (1.46–8.43). However, after, adjusting for disease severity hypercapnia is not found to be associated with mortality: OR=1.08, 95% CI (0.32–3.64). The sensitive analysis with weighted regression also shows no significant effect on mortality: OR=1.04, 95% CI (0.95–1.14).

Conclusion
This study showed that hypercapnia is not associated with mortality in COVID-19 ARDS patients.
Machine learning to predict extubation success using the spontaneous breathing trial, objective cough measurement, and diaphragmatic contraction velocity: Secondary analysis of the COBRE-US trial
Authors: Varón-Vega Fabio , Tuta-Quintero Eduardo , Maldonado-Franco Adriana , Robayo-Amórtegui Henry , Giraldo-Cadavid Luis F , Botero-Rosas Daniel 
Published: February 2025

Abstract

Introduction
Determining the optimal timing for extubation in critically ill patients is essential to prevent complications. Predictive models based on Machine Learning (ML) have proven effective in anticipating weaning success, thereby improving clinical outcomes.

Aim of the study
The study aimed to evaluate the predictive capacity of five ML techniques, both supervised and unsupervised, applied to the spontaneous breathing trial (SBT), objective cough measurement (OCM), and diaphragmatic contraction velocity (DCV) to estimate a favorable outcome of SBT and extubation in critically ill patients.

Material and Methods
A post hoc analysis conducted on the COBRE-US study. The study included ICU patients who underwent evaluation of SBT, OCM, and DCV. Five ML techniques were applied: unsupervised and supervised to the data in both a training group and a test group. The diagnostic performance of each method was determined using accuracy.

Results
In predicting SBT success, all supervised methods displayed the same accuracy in the training group (77.3%) and in the test group (69.6%). In predicting extubation success, decision trees demonstrated the highest diagnostic accuracy, 89.8% for the training group and 95.7% for the test group. The other supervised methods also showed a good diagnostic accuracy: 85.9% for the training group and 93.5% for the test group.

Conclusions
In predictive models using OCM, DCV, and SBT as input variables through five ML techniques, decision trees and artificial neural networks demonstrated the best diagnostic performance. This suggests that these models can effectively classify patients who are likely to succeed in SBT and extubation during the weaning process from mechanical ventilation.
Pre-Eclampsia in A Low Income Community
Authors: Vera Ramon Miguel Vargas , Patiño Freddy Alberto Cabrera , Salazar Cesar William Luciano , Ibadango Martha Veronica Placencia , Bravo Cruz Marisol Zerna , Silva Kalid Stefano Vargas , Burbano Moises Esteven Zambrano 
Published: February 2025

Objective. To determine the clinical and epidemiological characteristics that predispose to risk factors for the development of hypertensive disorders of pregnancy in pregnant women who attend prenatal consultation at the University Hospital of Guayaquil.

Method. The study population consisted of pregnant women who attended prenatal consultations, evaluated with a longitudinal design of a descriptive and observational nature. The sample included a total of 104 pregnant women subjected to a data collection protocol that combined the application of a questionnaire validated by experts with the systematic review of medical records.

Results: The main variables associated with the presence of risk factors for hypertensive disorders during pregnancy were identified. The analysis of age distribution revealed that 69.2% of the participants were between 20 and 34 years old, 20.2% were pregnant women under 19 years old and 10.6% were women over 35 years old. The risk factors determined included: weight gain (41.3%), family history of hypertensive disorders (30.8%), poor nutrition (50%), civil union status (54.8%), first pregnancy (35.6%), history of more than two previous partners (23.1%) and the presence of preexisting or pregnancy-induced hypertension (13.5%).

Conclusions: The relevant risk factor was personal and family history of hypertensive disorders with 30.8%. Nutrition, first parity and changing partners were highlighted aspects. Poor prenatal care was not considered as a risk factor.
Maturity in Industry 4.0: A Case Study in A Thermoplastics Sector Company of the Manaus Industrial Pole – AM
Authors: Souza Kamila Mendonça de , Cruz Elisandra Maria Farias da , Simas Bruna da Silva , Souza Keila Mendonça de , Santiago Sandro Breval , Lima Orlem Pinheiro de 
Published: February 2025

Objective: The aim of this study is to evaluate the Industry 4.0 maturity in a company from the thermoplastics sector, identifying challenges and advancements in technological development through the PIMM 4.0 system.

Theoretical Framework: This section addresses the concepts of Industry 4.0, the relevance of maturity models, and the context of the Manaus Industrial Pole (PIM), which are essential for analyzing the challenges and opportunities of digital transformation in the region.

Method: The case study highlights the real scenario experienced by the employees of the company under study, aiming to evaluate Industry 4.0 maturity through the PIMM 4.0 system, where one dimension of the company—"Business Model"—and its six respective sub-dimensions were analyzed. Quantitative descriptive methods were used for data collection, including a structured questionnaire model from the PIMM 4.0 system.

Results and Discussion: The findings of this study indicate the correlation of the analyzed sub-dimensions, showing that only three can be directly linked to technological development.

Research Implications: The greater this improvement, the better the scores of the three respective sub-dimensions. For the analysis of the obtained results, average and range charts were used to confirm the study's stability.

Originality/Value: This research highlights some challenges faced by the company in preparing for the Industry 4.0 era, estimating a promising trajectory to be followed.