bluuebunny/crossref_metadata_2025_split huggingface dataset:
Clinical Predictors of Warfarin Response Among Patients with Atrial Fibrillation: Evidence from the Middle Eastern JoFib Study
Authors: Alrabadi Nasr , Al-Nusair Mohammed , Haddad Razan , Alburie Lama , Mhaidat Nizar , Jarrah Mohamad I. , Hammoudeh Ayman 
Published: February 2025

Objective:
To describe clinical factors predictive of warfarin response in atrial fibrillation
(AF) patients and to evaluate its association with adverse outcomes.

Methods:
Patients in the Middle Eastern JoFib study, a prospective, multicenter registry of AF patients,
using warfarin with at least one international normalized ratio (INR) reading, were enrolled.
We used the most recent INR as a measure of warfarin control.

Results:
Out of the total 2020 patients, 544 (26.9%) were using warfarin. Multivariable logistic regression
analysis demonstrated that heart failure (adjusted OR 0.55, 95%CI 0.36-0.86) and increasing
HAS-BLED score (adjusted OR 0.73, 95%CI 0.58-0.92) decreased the odds of having a therapeutic
INR. Chronic kidney disease (adjusted OR 3.11, 95%CI 1.46-6.62), heart failure (adjusted OR 2.37,
95%CI 1.4-4.01), and cancer (adjusted OR 2.48, 95%CI 1.03-6.01) were independently predictive of
having INR less than 2.0. The first episode of AF was independently predictive of having INR above
3.0 (adjusted OR 2.48, 95%CI 1.39-4.42). Multivariable Cox regression analysis demonstrated that
INR below the therapeutic range (aHR 4.36, 95%CI 2.19-8.68) and INR above the therapeutic range
(aHR 3.03, 95%CI 1.33-6.92) were predictive of all-cause mortality. Below-range INR also predicted
cardiovascular mortality (aHR 3.69, 95%CI 1.66-8.16).

Conclusion:
Clinical factors predictive of sub-optimal INR in Middle Eastern AF patients using warfarin
include chronic kidney disease, heart failure, cancer, high HAS-BLED score, and first episode
of AF. Furthermore, sub-optimal INR is predictive of all-cause and cardiovascular mortality.

conclusion:
Clinical factors predictive of sub-optimal INR in Middle Eastern AF patients using warfarin include chronic kidney disease, heart failure, cancer, high HAS-BLED score, and first episode of AF. Furthermore, sub-optimal INR is predictive of all-cause and cardiovascular mortality.
The Dose-response of Blood Pressure Variability in Stroke and Coronary Heart Disease
Authors: Riyadina Woro , Tuminah Sulistyowati , Indrawati Lely , Sitorus Nikson , Letelay Alfons M. , Wurisastuti Tri , Putri Alifa Syamantha , Suswanti Ika , Turana Yuda 
Published: February 2025

Background:
Blood pressure variability (BPV) is a potential predictor of vascular
events and triggers target organ damage.

Objective:
This study aimed to determine the BPV in stroke and coronary heart disease (CHD) in
the Bogor Cohort Study in Indonesia.

Methods:
Over six years of monitoring, a prospective cohort study was conducted on 1649 respondents
aged ≥ 31 years from the Bogor Non-communicable Diseases Risk Factors Cohort Study.
The dependent variable was vascular events (stroke or CHD), which were new cases (incidents)
that appeared during the 6-year monitoring period (2011 – 2017 and 2012-2018).

Result:
During the six years of monitoring, the incidence of vascular events was 12.4 percent. The
dose-response of systolic and diastolic BPV in vascular events, stroke, and coronary heart disease
showed an increased risk (quintiles Q2, Q3, and Q4) compared to quintile 1 (Q1). Systolic BPV of
≥12,10 mmHg and diastolic BPV of ≥ 7,31 mmHg had a risk of 2.3 and 1.7 (95% Confidence Intervals
(CI)), respectively, for vascular events during the period of 6-year observation, after controlling
for age, hypertension status, and lipid profile.

Conclusion:
BPV is an independent predictor of vascular events, stroke, and coronary heart disease.
The public and clinicians must pay attention to controlling BPV as a risk factor for vascular
events, stroke, and CHD.

conclusion:
Blood pressure variability is an independent predictor of cardiovascular events. Systolic blood pressure variability is a more sensitive predictor than diastolic BP variability. For the public and clinicians, it is necessary to pay attention to control blood pressure variability or fluctuation.
Exploring the Pharmacological Evaluation of Indian Medicinal Herbs for Managing Diabetes
Authors: Malik Ashok Kumar , Redhu Amita , Mohiuddin Irshad , Philippe Schmitt-Kopplin 
Published: February 2025

Abstract:
Diabetes mellitus is a significant, chronic disease that occurs when the pancreas cannot
produce sufficient insulin or the body's capacity to use insulin is hindered. Traditional herbal remedies
have played an important part in health systems worldwide and are used to treat various acute
and chronic illnesses with or without minimum side effects. Diabetic patients have traditionally relied
on herbal treatments to manage their diabetes. In India, where the prevalence of diabetes is rising,
traditional herbal treatments continue to play a crucial role in diabetes management, particularly
in rural and marginalized regions with restricted access to modern healthcare. A significant number
of diabetes patients in India persist in using these herbal remedies, derived from Ayurvedic and traditional
methodologies, owing to their accessibility, cost-effectiveness, and negligible adverse effects.
Various medicinal plants with anti-diabetic properties in India are Acacia arabica, Aloe vera, Azadirachta
indica, Ocimum sanctum, Pterocarpus marsupium, Tinospora cordifolia, and Trigonella
foenum graecum, etc. These plants have been included in various research and publications linked to
the antidiabetic properties of medicinal plants, both in vivo and in vitro. All of these plants have variable
degrees of hypoglycemic and anti-hyperglycemic action. Furthermore, more research is needed
to support the use of these medicinal herbs as an antidiabetic drug.
A Review on Pharmaceutical and Bio-Allied Applications of Infrared Spectroscopy
Authors: - Muskan , Chopra Bhawna , Bhardwaj Sakshi , Dhingra Ashwani K. 
Published: February 2025

Abstract:
Infrared spectroscopy has emerged as a powerful analytical technique with di-verse applications in the pharmaceutical and bio-allied domains. This article provides an in-depth exploration of the method's utility in pharmaceutical applications, including identification, moisture content determination, and assay of pharmaceutical compounds. Additionally, it delves into the extensive role of infrared spectroscopy in bio-allied re-search, encompassing the investigation of structural arrangements, interactions, mobility, and dynamics of biomolecules. In the realm of pharmaceuticals, infrared spectroscopy stands as a reliable tool for the identification of compounds, ensuring the authenticity and quality control of drug formulations. The capacity to measure moisture content is crucial in ensuring the stability and efficacy of medicinal goods. Furthermore, the assay of pharmaceutical compounds by infrared spectroscopy offers a rapid and precise means of quantifying active ingredients, supporting the development and production of pharma-ceutical formulations. In the bio-allied field, the versatility of infrared spectroscopy be-comes evident in its contribution to understanding the intricate details of biomolecular structures and interactions. The method plays a pivotal role in investigating the structural arrangements of macromolecules, shedding light on the complexities of biological sys-tems. Additionally, infrared spectroscopy facilitates the assessment of body fluids, ena-bling non-invasive diagnostics and monitoring of health conditions. The article also ex-plores the application of infrared spectroscopy in the analysis of blood, providing valua-ble insights into hematological parameters and contributing to diagnostic methodologies. The method's wide-ranging influence on healthcare and forensic sciences is demonstrat-ed by its promise in cancer detection, forensic investigations, and hematological illness monitoring.
The Role of Artificial Intelligence in Transforming Dental Public Health: Current Applications, Ethical Considerations, and Future Directions
Authors: Bamashmous Mohamed 
Published: February 2025

Background
Artificial Intelligence (AI) and its subset, Machine Learning (ML), have emerged as pivotal tools in dental public health by enhancing diagnostic accuracy, optimizing resource allocation, and personalizing patient care. AI offers significant opportunities, particularly in predictive analytics, personalized interventions, and expanding access to underserved areas.

Objective
This review presents a broad evaluation of AI’s applications in dental public health, emphasizing their roles in diagnostics, discussing ethical considerations, and outlining future directions to enhance public health practice and policy.

Methods
We conducted a literature review of published articles from major databases (e.g., PubMed, Scopus, Web of Science) between 2015 and 2024. We used relevant search terms (e.g., “Artificial Intelligence,” “Machine Learning,” “Dental Public Health,” “Ethical Considerations,” “Predictive Analytics”). We applied inclusion and exclusion criteria based on relevance to diagnostics, epidemiological data analysis, health promotion, and ethical/legal frameworks.

Results
The findings indicate that AI technologies enhance diagnostics (e.g., interpreting dental radiographs), support predictive analytics for disease monitoring, and enable targeted health interventions. However, significant challenges include data privacy risks, algorithmic biases, and compatibility with existing infrastructures. Ethical considerations, such as transparency, accountability, and equitable access are essential for responsible AI integration.

Conclusion
AI holds the potential to revolutionize dental public health by improving patient outcomes, especially in underserved populations. Further interdisciplinary research, clear policy frameworks, and strong data protection measures are required to ensure the ethical and effective deployment of these technologies. Future investigations should also foster interprofessional collaboration to maximize the benefits of AI in dental public health.
Factores relacionados a la malnutrición por exceso en escolares: Una revisión narrativa
Authors: Mosqueda Díaz Angélica , De almeida-Oyanedel Antonio Tiago , Guzmán-Peña Iván Luis , Quezada-Rodríguez Josefa Antonia , Rojas-Sánchez Arantza Betsabé , Ugalde-Barraza Carolina Andrea 
Published: February 2025

Introducción. La malnutrición por exceso es un grave problema de salud pública. Su prevalencia sigue en aumento afectando sobre todo a la población escolar, a pesar de los esfuerzos en materias políticas y sanitarias para disminuir su incidencia. El objetivo de esta revisión es describir los factores relacionados a la malnutrición por exceso en escolares que han sido reportados por la evidencia. Metodología. Revisión bibliográfica, utilizando las bases de datos WOS, Pubmed, BVS, Scielo, LILACS y CUIDEN. Se incluyen artículos originales o de revisión, a texto completo, de los últimos 5 años, en español, inglés y portugués, seleccionando los artículos que incluyeron población escolar con sobrepeso y obesidad, de ambos sexos, y que estudian factores relacionados. Al analizarlos críticamente según guías CASPe, se obtuvieron 15 artículos. Resultados. Se recuperaron 17 factores relacionados, que fueron clasificados en dos categorías: Personales y Familiares. Como categoría Personales se encuentran los Factores Biológicos: sexo, parto por cesárea y edad; Psicológicos: respuesta a los alimentos; Sociales: uso de pantallas, actividad física, consumo de bebidas azucaradas, consumo de bocadillos y sueño. Como categoría Familiares están los Factores Biológicos: padres con sobrepeso u obesidad; Psicológicos: percepción del peso del escolar por parte de los padres; Sociales: escolaridad materna, nivel socioeconómico, familia monoparental, procedencia inmigrante-étnica, comidas compartidas con la familia y vivir en áreas urbanas. Conclusión. La malnutrición por exceso es un fenómeno multifactorial. Los factores pueden ser categorizados en protectores, de riesgo, y contextuales que podrían ser intervenidos desde la disciplina de enfermería con una mirada integral con enfoque preventivo y de promoción de la salud nutricional.
Estimation the Biochemical parameters Changes in Blood of Corona Virus Patients in Iraq in Order to Support the Timely Decision Needs
Authors: MOHAMMED Hussein Ali , Adem Şevki , SAHAB Khalid Shaalan 
Published: February 2025

People in every region of the globe are showing rapid signs of infection with the SARS-Cove-2 virus. One patient is able to transmit the virus to two or three more patients even if they are not showing any symptoms, which is proof of the virus's fast spread. The importance of knowing the values of these signs and ensuring their validity lies in supporting the doctor's decision-making at the right time to control the infection and detect cases that do not show symptoms of infection. As a result, it is simple to isolate infected cases and make the decision to treat them as soon as possible to reduce the risk of infection and disease outbreaks. Therefore, the objective of this paper is to evaluation biochemical parameters changes in blood of patients with corona virus. The indicators was estimated in the study include CRP, Creatinine, BUN, Sugar, WBC, cholesterol, HDL, D-Dimer, enzymes of liver function, and renal function tests. It is important to know and validate the values of the biochemical parameters in order to support the timely decision that the clinician needs to make in order to control infection and detect pathological conditions. Additionally, it is important to determine whether or not the values fall within the normal level or whether or not they fall within the level of the control group. Through our research, which describes the pathway for ESR, CRP, RBS, D-Dimer, and Ferritin, it is possible to understand the mechanism that influences the change in the levels of these parameters in patients with Covid 19 and thereby contribute to the early detection of the disease. According to the findings of these tests, there are high significant disparities between the patients. Additionally, this study demonstrated that there is a statistically significant gap between the patients and the control group. On the other hand, one of the most important diagnostic markers for COVID-19 sickness is the D-Dimer test in combination with the ferritin test.
PENGARUH MANAJEMEN LIKUIDITAS DAN FAKTOR YANG MEMPENGARUHI PROFITABILITAS PERBANKAN DI ERA DIGITAL
Authors: Susanti Ida , Reskika Nadira , Budiman Thomas , Lestari Henny Setyo , Leon Farah Margaretha 
Published: February 2025

Penelitian ini untuk menguji pengaruh manajemen likuiditas dan faktor yang mempengaruhi profitabilitas perbankan dengan layanan digital. Penelitian ini menggunakan metode analisis regresi PLS. Sampel penelitian ini adalah perbankan yang terdaftar di OJK periode 2019-2023. Manajemen likuditas seperti risiko likuiditas, giro wajib minimum, kredit, dana nasabah, dan kecukupan modal berpengaruh terhadap profitabilitas perbankan. Faktor lainnya yang juga berpengaruh adalah pertumbuhan, efisiensi operasional dan ukuran. Diversifikasi, rasio kredit bermasalah, PDB dan inflasi tidak berpengaruh signifikan terhadap profitabilitas perbankan. Pengujian faktor yang mempengaruhi profitabilitas perbankan dengan layanan digital dalam penelitian ini menekankan faktor penting yang perlu dikelola dengan baik. Hal ini dapat menciptakan keunggulan kompetitif bagi perbankan di era digitalisasi. Penelitian ini memiliki kebaruan berupa penggunaan variabel manajemen likuiditas lainnya seperti giro wajib minimum, kredit, dan dana nasabah.
Kata kunci: layanan digital perbankan, profitabilitas perbankan, manajemen likuiditas, faktor internal perbankan, faktor eksternal perbankan
PENGETAHUAN SISTEM PEMBAYARAN TEKNOLOGI DIGITAL DALAM KINERJA KEUANGAN UMKM
Authors: Monica Liza , Maulida Alfiatul , Sari Pristin Prima 
Published: February 2025

Kinerja Keuangan UMKM merupakan kemampuan Usaha Mikro, Kecil, dan Menengah (UMKM) Dalam mengelola sumber daya keuanganya untuk mencapai profitabilitas, pertumbuhan, dan kelangsungan usaha. Kinerja keuangan UMKM biasanya diukur menggunakan sejumlah indicator keuangan yang dapat mencerminkan efesiensi keuangan usaha. Beberapa artikel terbukti memiliki pengaruh positif, penelitian ini dibutuhkan untuk eksploratif lebih lanjut variable apa yang memiliki pengaruh terhadap kinerja keuangan UMKM dengan menambahkan Sistem Pembayaran, Teknologi Digital, dan Pengetahuan. Penelitian ini melibatkan 148 responden Usaha Mikro, Kecil dan Menengah dengan teknik pengambilan sampel menggunakan Non-Propability dengan purposive sampling, sedangkan olah data menggunakan SmartPLS 4.0. hasil menunjukan bahwa system pembayaran tidak berpengaruh positif terhadap Kinerja Keuangan UMKM; Pengetahuan tidak berpengaruh positif terhadap Kinerja Keuangan UMKM.
PENGARUH MOTIVASI INTRINSIK, LINGKUNGAN KERJA, DAN BUDAYA ORGANISASI TERHADAP KOMITMEN AFEKTIF KARYAWAN DINAS KOMUNIKASI DAN INFORMATIKA KABUPATEN BANTUL
Authors: Jati Briyan Desta Nugraha , Prayekti Prayekti , Yulianto Eko 
Published: February 2025

Penelitian ini bertujuan untuk mengetahui: Pengaruh motivasi intrinsik, pengaruh lingkungan kerja, dan pengaruh budaya organisasi terhadap komitmen afektif karyawan Dinas Komunikasi dan Informasi Kabupaten Bantul. Jenis penelitian ini adalah penelitian kuantitatif. Populasi dalam penelitian ini yaitu seluruh pegawai Dinas Komunikasi dan informatika Kabupaten Bantul yang berjumlah 80 orang. Metode pengambilan sampel yaitu dengan metode sampel jenuh. Analisis uji kualitas data menggunakan uji validitas dan uji reliabilitas.Teknik analisis data menggunakan uji asumsi klasik, uji normalitas, uji multikolinieritas, dan uji heteroskedastisitas. Uji hipotesis menggunakan R², uji T dan uji F. Hasil penelitian menunjukan bahwa : 1) motivasi intrinsik berpengaruh positif secara signifikan terhadap komitmen afektif. 2) lingkungan kerja berpengaruh positif dan signifikan terhadap komitmen afektif. 3) budaya organisasi berpengaruh positif dan signifikan terhadap komitmen afektif.
Self-measured leg circumference for the detection of lymphedema among men with prostate cancer: a reliability study
Authors: Larsen Gitte Sone , Jensen Sandra , Von Heymann Annika , Rafn Bolette Skjødt 
Published: February 2025

Background and purpose: Early lymphedema detection is crucial to timely treatment, and home-based monitoring holds promise for early detection of leg lymphedema among at-risk cancer survivors. We developed a self-measurement protocol for home-based leg circumference measurements and tested its reliability in men with prostate cancer at risk of lymphedema.
Patients/material and methods: This cross-sectional study recruited men with prostate cancer from the Department of Urology, Copenhagen University Hospital, Denmark. Circumference measurements were taken at four points on both legs, from which leg volume was calculated. Intrarater reliability was assessed by comparing self-measurements taken at home and in the hospital. Interrater reliability was evaluated by comparing hospital self-measurements to those of a blinded physiotherapist. Statistical power required 13 participants for the detection of a good (>0.8) intraclass correlation coefficient (ICC).
Results: Forty-three men were included (median age 69 [63–76] years). Intrarater reliability (n = 39) was good to excellent for six out of eight measurement points (ICC ≥ 0.79, p < 0.01) and moderate for two (ICC ≥ 0.55, p < 0.01). Intrarater reliability for leg volume was excellent (ICC ≥ 0.96, p < 0.01). Similarly, interrater reliability (n = 23) was excellent for all measurement points and leg volumes (ICC ≥ 0.91, p < 0.01). Forty-one of 43 participants performed the measurements independently, found them easy to do, and were willing to conduct self-measurements if recommended by their doctor.
Interpretation: Self-measured leg circumference among men with prostate cancer is highly reliable and acceptable. This low-cost approach for home-based monitoring for lymphedema offers potential for early detection and timely management of the condition.
Changes in cup inclination impact impingement-free hip motion after canine total hip replacement
Authors: Chou Po-Yen , Wu Ching-Ho , Marcellin-Little Denis J. , Garcia Tanya C. , Lin Cheng-Chung 
Published: February 2025

Abstract

Objective
To evaluate the effects of changes in prosthetic cup inclination on impingement-free hip abduction, adduction, and internal and external rotation after simulated total hip replacement in dogs.

Methods
For 6 dogs, CT scans of the hip region were used to prepare 3-D surface models of cementless total hip replacement. For each dog, 15 models with cup inclination ranging from −35° to 35° in 5° increments were prepared using computer-aided design software. For each implant position, impingement-free hip motion in abduction, adduction, and internal and external rotation was evaluated using a custom-built computer program for hip flexion/extension angles ranging from 50° to 160° in 5° increments.

Results
A total of 7,920 computer simulations were conducted. Increased cup inclination led to decreased impingement-free abduction in hip extension and increased abduction in hip flexion. Decreased cup inclination led to decreased abduction at all hip angles. Maximal inclination led to increased external rotation in full hip extension, and maximal declination led to increased internal rotation and adduction in full hip flexion.

Conclusions
During total hip replacement, changes in cup inclination influence hip abduction and, to a lesser extent, internal rotation and adduction in flexion and external rotation in extension. The assessment of intraoperative impingement should include abduction, extension combined with external rotation, and flexion combined with adduction and internal rotation.

Clinical Relevance
The inclination of a truncated cup influences impingement-free abduction. Inclination should be controlled during cup insertion to keep the prosthetic neck in the central portion of the cup truncation during abduction.