bluuebunny/crossref_metadata_2025_split huggingface dataset:
Association of age at diagnosis of diabetes with subsequent risk of age-related ocular diseases and vision acuity
Authors: Ye Si-Ting , Shang Xian-Wen , Huang Yu , Zhu Susan , Zhu Zhuo-Ting , Zhang Xue-Li , Wang Wei , Tang Shu-Lin , Ge Zong-Yuan , Yang Xiao-Hong , He Ming-Guang 
Published: April 2024

BACKGROUND
The importance of age on the development of ocular conditions has been reported by numerous studies. Diabetes may have different associations with different stages of ocular conditions, and the duration of diabetes may affect the development of diabetic eye disease. While there is a dose-response relationship between the age at diagnosis of diabetes and the risk of cardiovascular disease and mortality, whether the age at diagnosis of diabetes is associated with incident ocular conditions remains to be explored. It is unclear which types of diabetes are more predictive of ocular conditions.
AIM
To examine associations between the age of diabetes diagnosis and the incidence of cataract, glaucoma, age-related macular degeneration (AMD), and vision acuity.
METHODS
Our analysis was using the UK Biobank. The cohort included 8709 diabetic participants and 17418 controls for ocular condition analysis, and 6689 diabetic participants and 13378 controls for vision analysis. Ocular diseases were identified using inpatient records until January 2021. Vision acuity was assessed using a chart.
RESULTS
During a median follow-up of 11.0 years, 3874, 665, and 616 new cases of cataract, glaucoma, and AMD, respectively, were identified. A stronger association between diabetes and incident ocular conditions was observed where diabetes was diagnosed at a younger age. Individuals with type 2 diabetes (T2D) diagnosed at < 45 years [HR (95%CI): 2.71 (1.49-4.93)], 45-49 years [2.57 (1.17-5.65)], 50-54 years [1.85 (1.13-3.04)], or 50-59 years of age [1.53 (1.00-2.34)] had a higher risk of AMD independent of glycated haemoglobin. T2D diagnosed < 45 years [HR (95%CI): 2.18 (1.71-2.79)], 45-49 years [1.54 (1.19-2.01)], 50-54 years [1.60 (1.31-1.96)], or 55-59 years of age [1.21 (1.02-1.43)] was associated with an increased cataract risk. T2D diagnosed < 45 years of age only was associated with an increased risk of glaucoma [HR (95%CI): 1.76 (1.00-3.12)]. HRs (95%CIs) for AMD, cataract, and glaucoma associated with type 1 diabetes (T1D) were 4.12 (1.99-8.53), 2.95 (2.17-4.02), and 2.40 (1.09-5.31), respectively. In multivariable-adjusted analysis, individuals with T2D diagnosed < 45 years of age [β 95%CI: 0.025 (0.009,0.040)] had a larger increase in LogMAR. The β (95%CI) for LogMAR associated with T1D was 0.044 (0.014, 0.073).
CONCLUSION
The younger age at the diagnosis of diabetes is associated with a larger relative risk of incident ocular diseases and greater vision loss.
Causas y presentación clínica de dermatomiositis inducida por drogas. Revisión sistemática
Authors: Minaudo Carla 
Published: April 2024

Se realizó una búsqueda en Pubmed, y se analizaron y seleccionaron artículos con casos que cumplían con la escala de Naranjo para reacciones adversas a drogas. Se obtuvieron datos de 165 pacientes.
La dermatomiositis (DM) inducida por drogas se presenta con placas eritematosas foto distribuidas, eritema periorbitario, signo y pápulas de Gottron, similares a la DM idiopática.
En esta revisión la droga asociada más frecuente fue la hidroxiurea (30,3%), seguida de los inhibidores check-point (16,4%), las estatinas (13,3%), la penicilamina (6,1%) y los anti TNFα (6,1%).
Ochenta y cinco pacientes (51,6%) presentaron cáncer (leucemia mieloide crónica, melanoma, cáncer de mama y policitemia vera), mientras que otros 15 tuvieron antecedentes de enfermedades reumatológicas (artritis reumatoide, DM y psoriasis).
Hubo un promedio de 60 días desde el inicio del fármaco y la manifestación de la DM.
La biopsia de piel se efectuó en 58 pacientes (35,2%) y mostró cambios vacuolares de interfase y depósitos de mucina.
En cuanto a los autoanticuerpos, los más frecuentes fueron el FAN, el anti-TIF-1γ, y los menos frecuentes el anti-jo-1, anti-Mi-2, anti-Ro y otros autoanticuerpos.
Setenta y dos pacientes (43,6%) presentaron debilidad muscular. La electromiografía y la resonancia magnética mostraron miopatía en más del 80% de estos pacientes.
El compromiso pulmonar se investigó en pocos casos con solo 6 pacientes con TAC con patrón intersticial y un paciente con pruebas funcionales alteradas. Los autores destacan la menor afectación respiratoria con respecto al 42% al 53% reportado para la DM idiopática.
Por último, los autores mencionan como otras drogas desencadenantes a los bifosfonatos y los AINE, y destacan la importancia de tener un bajo umbral de sospecha de DM inducida por drogas en pacientes que reciben cualquiera de las medicaciones mencionadas y presentan lesiones en zonas fotoexpuestas y/o debilidad muscular.
Eficacia de espironolactona comparada con doxiciclina en acné moderado en mujeres adultas: resultados del estudio FASCE
Authors: Minaudo Carla 
Published: April 2024

El acné de la mujer adulta se caracteriza por la influencia hormonal con rebrotes premenstruales en el 60% de las pacientes y por la resistencia bacteriana del Cutibacterium acnes debido a tratamientos previos con antibióticos. Esto último limita la respuesta a las ciclinas usualmente usadas en acné. La espironolactona inhibe a la 5-alfa reductasa en las glándulas sebáceas y también la producción de LH a nivel hipofisario. Además, tiene una efectividad conocida en este tipo de acné, aunque hasta el momento su uso es por fuera del prospecto y faltan estudios de eficacia y seguridad comparados con tratamientos antibióticos.
Esto motivó a los autores a realizar este ensayo multicéntrico, randomizado, doble ciego, prospectivo y paralelo para comparar la eficacia de la espironolactona versus la doxiciclina en el acné de la mujer adulta. Se lo denominó estudio FASCE.
Se incluyeron 133 pacientes. Se excluyeron aquellas con síndrome de ovario poliquístico. Las mujeres tratadas utilizaban métodos anticonceptivos, en su mayoría hormonales. Las ramas del estudio fueron: 1) doxiciclina 100 mg/día y peróxido de benzoilo por 3 meses seguido de 3 meses de placebo y peróxido de benzoilo; 2) espironolactona 150 mg /día y peróxido de benzoilo por 6 meses. El seguimiento total de las pacientes duró 12 meses.
Se realizaron evaluaciones a los 4 y a los 6 meses con los sistemas puntuación del Adult Female Acne Scoring Tool (AFAST) y el Acne Lesion Score Scale (ECLA) conteo de número de lesiones e índice de calidad de vida.
Analizando múltiples variables, la espironolactona mostró una respuesta superior de 1,37 a 2,87 veces con respecto a la doxiciclina a los 4 y 6 meses respectivamente. La espironolactona fue bien tolerada y la calidad de vida mejoró en las mujeres tratadas con este medicamento.
Sin embargo, los autores también observaron que la doxiciclina actuó con mayor rapidez, con mejoras dentro de los 2 meses; en cambio la espironolactona necesitó entre 2 y 4 meses.
Los efectos adversos prevalecieron en el grupo tratado con espironolactona, principalmente con irregularidades menstruales, aunque fueron leves y no requirieron suspender el tratamiento. No se presentaron casos de hiperkalemia secundaria a espironolactona.
Se concluye que aunque faltan más estudios que confirmen estos hallazgos, la espironolactona merece autorizarse como una alternativa eficaz y segura para el tratamiento del acné en la mujer adulta, siendo una alternativa a los antibióticos y potencialmente a la isotretinoina.
Side Collision Detection Model for Visually Impaired Using Monocular Object-Specific Distance Estimation and Multimodal Real-World Location Calculation
Authors: Song Wenqing , Sun Yumeng , Huang Qixuan , Cheok Junyang 
Published: April 2024

Targeting the potential risk of side-vehicle collisions when the visually impaired crosses roads, this study proposed a side collision detection model, including monocular distance estimation, multimodal real-world location estimation, future location prediction and collision warning strategies tailored for visually impaired pedestrians. The proposed model employs YOLOv8 and DeepSort for vehicle detection and tracking, utilizing shallow neural networks for distance estimation based on image information and vehicle position data. Predicted vehicle distances are combined with magnetic field sensor and GPS data to compute and store real-world vehicle locations, and these location data will be used for linear regression to forecast future locations. A warning strategy is then implemented to alert users. Experimental validation shows that the monocular distance estimation network has an Absolute Relative Error of 0.043 and an ALE (Average Localization Error) of 1.249m. In real-world location estimation, the view angle ALE is 0.019, and the location ALE is 1.778m. Regarding location prediction, the accuracy in distinguishing stationary and moving vehicles reaches 0.962, and the predicted curve, based on ground truth and predicted locations, exhibits good alignment. The proposed warning strategy, evaluated on Kitti Tracking Dataset and a self-created dataset, accurately detects the majority of potential collision risks.

Received: 17 November 2023 | Revised: 13 March 2024 | Accepted: 9 April 2024

Conflicts of Interest
The authors declare that they have no conflicts of interest to this work.

Data Availability Statement
The data that support the findings of this study are openly available in "IEEE" at https://doi.org/10.1109/CVPR.2012.6248074.

Author Contribution Statement
Wenqing Song: Conceptualization, Methodology, Software, Data curation, Writing - original draft, Visualization, Supervision, Project administration. Yumeng Sun: Validation, Investigation, Writing - review & editing. Qixuan Huang: Methodology, Validation, Formal analysis, Resources, Writing - review & editing. Junyang Cheok: Validation, Investigation, Writing - review & editing.
Monte Carlo Simulation-Based Regression Tree Algorithm for Predicting Energy Consumption from Scarce Dataset
Authors: Darmanto Tony , Tjen Jimmy , Hoendarto Genrawan 
Published: April 2024

Most data-driven techniques rely on the availability of data. Hence, when the data provided are not sufficient, the algorithm might not work as intended. Thus, it is important to be able to predict the dynamics of the data, even when the number of available data is low, or scarce. This study aimed to predict the power consumption of a building given a scarce dataset via a novel Monte Carlo simulation-based Regression Tree (MCRT) algorithm. The main idea is to train Monte Carlo simulation on each leaf generated by the regression tree algorithm. Thus, the prediction no longer depends on the average of the samples contained in the leaf, but now depends on the probability of the samples. The proposed algorithm was validated on 2 datasets obtained from Universitas Widya Dharma Pontianak (UWDP), Indonesia, and Trapeznikov Institute of Control Sciences (TICS), Russia. To show that the MCRT algorithm is better than the regression tree (RT) algorithm, a two-tail hypothesis was proposed. Based on the experiments which were run on Python software with 16 GB RAM, 7th Gen Core i7 machine on 50 datasets randomly generated from the UWDP electrical data, it can be concluded that the MCRT algorithm performs better than the previous RT algorithm used to model scarce datasets with P-value = 0.000319. Furthermore, the proposed algorithm improves the model predictive accuracy of the RT algorithm by up to 2%.

Received: 30 December 2023 | Revised: 21 March 2024 | Accepted: 8 April 2024

Conflicts of Interest
The authors declare that they have no conflicts of interest to this work.

Data Availability Statement
The data that support the findings of this study are openly available in [Google Drive] at https://docs.google.com/spreadsheets/d/1o8sawOaOcX1kEm-dIdkcCUZhKoBduTAz/edit?usp=drive_link&ouid=115962907255429746256&rtpof=true&sd=true

Author Contribution Statement
Tony Darmanto: Conceptualization, Validation, Investigation, Resources, Data curation, Writing - original draft, Writing - review & editing, Visualization, Supervision, Project administration. Jimmy Tjen: Conceptualization, Methodology, Software, Formal analysis, Writing - original draft, Writing - review & editing, Visualization. Genrawan Hoendarto: Validation, Investigation, Resources, Data curation, Writing - original draft, Writing - review & editing.
The Potential of Purple Sweet Potato-based Food Bar as an Immunomodulator and Hepatoprotector Against Diethylnitrosamine-induced Mice
Authors: Widyaningsih Tri Dewanti , Sujuti Hidayat , Fibrianto Kiki , Honestin Trifena , Sigalingging Catherine Novita Sari 
Published: April 2024

The food bar’s effect as an immunomodulator and hepatoprotector in vivo was tested on male BALB/c mice induced with diethylnitrosamine (DEN). The experimental animals were treated using the Post-test Control Group Design method. Six groups of 30 mice each made up the sample: The negative control group of healthy mice fed with a normal diet (P0); the group of healthy mice given the food bar (P1); the positive control group of mice induced with DEN and given a normal diet (P2); the group of mice induced with DEN and given a normal diet + food bar at 11,700 mg/kg (P3); the group of mice induced with DEN and given a normal diet + food bar at 23,400 mg/kg (P4); and the group of mice induced with DEN given the food bar (P5). The observations conducted included the spleen, which was used for the analysis of immunomodulators on T CD4+CD25+, CD4+, and CD8+ cells with cytokines TNF-α, IFN-Ɣ, and IL-10, blood serum for the analysis of SGPT and SGOT, and liver organ for the analysis of SOD, MDA, and histopathology. The results of the immunomodulator testing showed that the administration of the food bar (P5) significantly (p < 0.05) resulted in the highest percentage of CD4+ T cells at 2.93 % and CD8+ T cells at 5.30 %, a lower percentage of CD8+ T cells expressing proinflammatory cytokines (TNF-α at 0.27 % and IFN-γ at 0.29 %), a higher percentage of CD4+ T cells expressing CD25+, and CD25+ T cells expressing anti-inflammatory cytokines (IL-10) at 2.83 %. This group also exhibited the lowest levels of SGPT and SGOT, a higher percentage of SOD, and a lower percentage of MDA compared to other groups. The food bar, based on the mix of purple sweet potato, mung beans, moringa leaves, and strawberries, also reduced liver damage, as demonstrated through histopathological testing.
HIGHLIGHTS

Food bar demonstrated effectiveness as an immunomodulator by increasing CD4+ and CD8+ T-cell populations, enhancing CD4+ T-cells expressing CD25+, elevating CD25+ expressing anti-inflammatory cytokine (IL-10), and reducing CD8+ T-cells suppressing the expression of proinflammatory cytokines (TNF-α and IFN-γ) in the spleens of DEN-induced mice
The provision of the food bar as the main diet resulted in reduced levels of SGPT, SGOT, and hepatic MDA in DEN-induced mice and increased SOD activity in mice induced with 50 mg/kg of DEN
Food bar based on purple sweet potato, green beans, moringa leaves, and strawberries was able to protect and reduce liver cell damage caused by DEN, as demonstrated by histopathology tests

GRAPHICAL ABSTRACT
The potential Two Types of Green Macroalgae (Caulerpa racemose and Caulerpa lentillifera) as a Natural Food Preservative from Jepara beach, Indonesia
Authors: Santosa Gunawan Widi , Djunaedi Ali , Susanto AB , Pringgenies Delianis , Ariyanto Dafit , Pranoton Aris Kabul 
Published: April 2024

Green macroalgae, known locally as Latoh, is one of the green seaweeds consumed by the local community in Jepara and is beneficial for health. This study explores the potential of secondary metabolites from seaweed and its symbiotic bacteria as natural food preservatives and antibacterials. Seaweed samples were collected from the seagrass ecosystem of Panjang Island, Jepara, Indonesia. Subsequently, the samples were subjected to scanning electron microscopy analysis, proximate analysis, phytochemical analysis, thin layer chromatography, and high-performance liquid chromatography for amino acid analysis. A sample was subjected to a multistage extraction process using n-hexane, ethyl acetate, and methanol (1:5 w/v), each for 24 h. Symbiotic bacteria from seaweed were isolated, and enzymatic (proteolytic, amylolytic, and cellulolytic) and antibacterial testing against pathogenic bacteria Staphylococcus aureus and Escherichia coli was conducted using the disc diffusion method. The selected bacteria were subjected to molecular identification. The research showed that Caulerpa lentillifera had an ash content of 3.24 %, protein content of 0.57 %, and fat content of 0.337 %. Phytochemical analysis shows that the sample contains flavonoids, steroids, and alkaloids. HPLC analysis reveals that Caulerpa lentillifera has the highest content of aspartic acid (relative area: 11.90 %), glutamic acid (relative area: 13.43 %), and alanine (relative area: 9.03 %). Caulerpa racemosa sample shows the highest detector response for glutamic acid (relative area: 12.19%), aspartic acid (relative area: 11.10 %), and alanine (relative area: 9.63 %). The results indicate that 14 bacterial isolates were successfully isolated, with 6 isolates from Caulerpa lentillifera and 8 isolates from Caulerpa racemosa, all exhibiting enzymatic and antibacterial abilities. The research results concluded that the Latoh seaweed species Caulerpa lentillifera and Caulerpa racemosa and their symbiotic bacteria have the potential to be used as food preservatives.
HIGHLIGHTS

HPLC analysis showed that Caulerpa lentillifera had the highest content of aspartic acid, glutamic acid, and alanine. Caulerpa racemosa also had high levels of glutamic acid, aspartic acid, and alanine
The research successfully isolated 14 bacterial isolates, with 6 isolates from Caulerpa lentillifera and eight isolates from Caulerpa racemosa, all exhibiting enzymatic and antibacterial abilities
Molecular identification revealed the presence of identified bacteria such as Pseudoalteromonas arabiensis, Pseudoalteromonas piscicida, Pseudoalteromonas shioyasakiensis, and Vibrio alginolyticus
seaweed species Caulerpa lentillifera and Caulerpa racemosa, along with their symbiotic bacteria, have the potential to be used as natural food preservatives due to their antibacterial and enzymatic pro perties

GRAPHICAL ABSTRACT
Anti-Inflammatory Effects of Moringa Oleifera Lam Leaf Extract in Lipopolysaccharide-Activated Microglia
Authors: Thampithak Anusorn , Karachot Busarat , Jantaratnotai Nattinee , Tuchinda Patoomratana , Sanvarinda Pimtip 
Published: April 2024

Moringa oleifera Lam has been used as a medicinal plant in many Asian countries including Thailand. The plant has a variety of pharmacological effects such as antioxidant, anti-inflammation, hypolipidemic, anti-infection, anticancer, and antidiabetic. The leaves and young pods, which contain various nutritional compounds including proteins, fatty acids, and vitamins, are widely consumed. In this study, we investigated the effects of hexane, ethyl acetate, methanol and ethanol crude extracts of M. oleifera Lam leaves on the viability of microglial cells and on the lipopolysaccharide-induced microglial activation. which is widely used as a model for neuroinflammation. Our findings suggested that all of the crude extracts at concentrations ranging from 10–9 to 10–5 g/mL did not significantly affect the viability of microglial cells and exhibited similar effects. Subsequently, we focused on ethanol extract for investigation of the molecular mechanism involving neuroinflammation. We found that the ethanol extract of M. oleifera Lam leaves at the concentrations of 10–9 to 10–5 g/mL significantly reduced inducible nitric oxide synthase (iNOS) protein expression and nitric oxide (NO) production, accompanied by the reduction of phospho-NF-κB and phospho-IκBα expressions. The results suggested that the ethanol extract of M. oleifera Lam leaves reduced NO production through reduction of iNOS protein expression following the inhibition of NF-κB/IκBα signaling pathways. Our study underscored the therapeutic potential of M. oleifera Lam leaves extract in neurodegenerative diseases associated with neuroinflammation.
HIGHLIGHTS

The ethanol extract of M. oleifera Lam leaves dose-dependently reduced NO production in LPS-activated microglia
The reduction in NO production correlated with the reduction in iNOS protein expression
The extract inhibited the expression of NF-kB/I-kBα protein expression in a dose-dependent manner
The ethanol extract of oleifera Lam leaves exhibited anti-inflammatory effect via the inhibition of NF-kB/I-kBα signaling pathway

GRAPHICAL ABSTRACT
Relationship Between Directly Observed Sensory Reactivity Differences and Classroom Behaviors of Autistic Children
Authors: Marcham Hannah , Tavassoli Teresa 
Published: April 2024

Abstract
Importance: Differences in sensory reactivity are a core feature of autism; however, more remains to be learned about their role in classroom learning.
Objective: To use direct observational measures to investigate whether there is a link between sensory reactivity differences and classroom behaviors of autistic children.
Design: Correlational study.
Setting: Two special educational needs schools.
Participants: Children with a clinical diagnosis of autism, ages 5 to 18 yr (N = 53).
Outcomes and Measures: Sensory reactivity differences were assessed with the Sensory Assessment for Neurodevelopmental Differences. Classroom behaviors were measured using the Behavior Assessment for Children–Second Edition Student Observation System.
Results: Total sensory reactivity differences were correlated positively with behaviors that impede learning (r = .31, p &lt; .05) and negatively with behaviors that facilitate learning (r = −.38, p &lt; .05). Hyporeactivity differences were correlated positively with behaviors that impede learning (r = .28, p &lt; .05) and negatively with behaviors that facilitate learning (r = −.31, p &lt; .05). Hyperreactivity and sensory-seeking differences were not significantly correlated with behavior.
Conclusions and Relevance: Results suggest a link between sensory reactivity differences and classroom behaviors, highlighting a need for further research using observational measures in special education settings.
Plain-Language Summary: Differences in hyporeactivity for children with autism may play a bigger role in classroom behavior and learning than previous literature has suggested. This has implications in occupational therapy practice for how to tailor support for children with hyporeactivity differences.