bluuebunny/crossref_metadata_2025 huggingface dataset:
Photoprotective Effects of Phytochemicals on Blue Light-Induced Retinal Damage: Current Evidence and Future Perspectives
Authors: Yeh Wan-Ju , Yan Cin , Wu Chi-Hao
Published: December 2024

The increasing prevalence of blue light (BL) exposure from modern light-emitting diodes (LEDs) has raised significant concerns regarding its potential adverse effects on ocular health. Prolonged exposure to BL has been implicated in the pathogenesis of various retinal disorders, including age-related macular degeneration (AMD), primarily through mechanisms involving oxidative stress and inflammation mediated by the overproduction of reactive oxygen species (ROS). This review synthesizes current evidence on the photoprotective properties of plant extracts and di-etary bioactive compounds, with a focus on their potential to mitigate BL-induced retinal damage. Accumulating research suggests that dietary antioxidants, particularly carotenoids and poly-phenols, may offer photoprotective benefits. These phytochemicals act by neutralizing ROS and enhancing the retina's endogenous antioxidant capacity. Based on these findings, this review advocates for a food-first approach in future investigations, emphasizing the development of evidence-based dietary recommendations to bolster retinal health and mitigate the risk of BL-related ocular diseases.
Logistic Regression with Sparse and Smooth Regularizations for Classification and Feature~Extraction
Authors: Wang Jing , Xie Xiao , Wang Pengwei , Sun Jian , Liu Yaochen , Zhang Li
Published: December 2024

This paper introduces logistic regression with sparse and smooth regularizations (LR-SS), a novel framework that enhances classification and feature extraction by incorporating both sparsity and smoothness constraints. We propose a family of smooth regularizations designed to capture temporal and spatial structural patterns inherent in data. The optimization problem is solved efficiently using the minorization-maximization (MM) framework combined with coordinate descent and soft-thresholding techniques. Through extensive experiments on both simulated and real-world datasets, including time series and image data, we demonstrate that LR-SS generally outperforms conventional sparse logistic regression methods in terms of classification accuracy and feature extraction quality. Therefore, LR-SS provides a powerful tool for machine learning applications requiring both accurate prediction and strong interpretability.
A presença de filmes e séries nas aulas de línguas: percepções de alunos e professores
Authors: Trarbach Mariana Vargas , Kersch Dorotea Frank
Published: December 2024

O consumo de narrativas cinematográficas, impulsionado pela acessibilidade à internet e às plataformas de streaming, transcendeu as salas de cinema e alcançou as salas de estar. Parece-nos, todavia, que, apesar dessa popularização, filmes e séries ainda não estão presentes de forma efetiva na sala de aula. Este estudo objetiva traçar o perfil de espectadores entre professores e alunos do Ensino Médio na região metropolitana de Porto Alegre, RS, e examinar como filmes e séries estão presentes nas aulas de línguas, com base nos relatos dos participantes. A pesquisa, de natureza quanti/qualitativa, utiliza questionários direcionados a professores e alunos. Os dados mostram que, embora filmes e séries façam parte das práticas cotidianas dos participantes, ainda há uma lacuna no trabalho dos professores, especialmente no ensino de línguas, para promover a leitura fílmica e propor atividades que desenvolvam competências visuais e críticas relacionadas a essas mídias, sem o pretexto do ensino gramatical. Esses resultados indicam a necessidade de atenção nos cursos de formação inicial e continuada de professores, enfatizando o letramento visual e o letramento midiático crítico.
Respons Bawang Putih pada Berbagai Frekuensi Penyemprotan Pupuk Cair Organik Mikro
Authors: Hidayah Baiq Nurul , Hamsyah Muhammad Tahir , Rani Mohammad , Nurhaedah Nurhaedah , Sirajuddin Sirajuddin , Gazali Imam , Supardi Supardi , Hafid Agus , Aisah Ai Rosah , Herawati Nani
Published: December 2024

Garlic is a horticultural commodity with high economic value in Indonesia. For optimal growth and yield, garlic plants need macro and micronutrients from fertilization. Micronutrients can be fulfilled, such as by spraying micro-organic liquid fertilizer. This research aims to determine the effect of various spraying frequencies of Micro Organic Liquid Fertilizer – Micro Magic (PCOM-MM) on the growth of garlic plants. The garlic variety planted was local Sangga Sembalun using a 1-factor Randomized Block Design with 4 treatments of spraying frequencies: 1) without spraying PCOM-MM, 2) spraying PCOM-MM one time every two weeks, 3) spraying PCOM-MM one time a week, and 4) spraying PCOM-MM two times a week. Each treatment was repeated three times: Garlic Response to Micro Liquid Organic Fertilizer therefore, there were twelve treatment plots. The results of various PCOM-MM spraying frequencies did not significantly differ in plant height, root length, and bulb diameter. Still, they significantly differed in the number of leaves and leaf width. Further research on the PCOM-MM spraying with various spray concentrations higher than those stated on the product packaging, numerous garlic varieties, and different types of land is needed.
Rehabilitación estética de coronas y carillas de disilicato de litio para transformar la sonrisa: reporte de caso
Authors:   , Bravo Vergara Patricia
Published: December 2024

RESUMEN: En la presente reporte de casos se realizaron tratamientos que nos permitieron solucionar defectos estéticos por los cuales los pacientes no se encontraban conforme con su sonrisa, con ello pudimos reconstruir piezas desgastadas, modificar la forma, la tonalidad de color e incluso el tamaño de los dientes en el sector anterior en tres pacientes diferentes donde el factor principal fue transformar la sonrisa a través de la colocación de coronas y carillas utilizando la cerámica de Disilicato de Litio manteniendo las propiedades ópticas muy similares al esmalte dental, al ser uno de los mejores materiales cerámicos disponibles, ofreciendo una elevada resistencia a la flexión. Se muestra una serie de protocolos tanto de diagnóstico clínico y adhesión para resolver estas diferentes situaciones clínicas.
Cepillado dental infantil: una encuesta sobre comportamientos, actitudes y conocimientos en padres del Callao
Authors:   , Chavez Garamonte Ruth Noemi
Published: December 2024

Objetivo: Determinar los factores asociados a comportamientos, actitudes y conocimientos sobre el cepillado dental infantil (CDI) en padres. Métodos: Estudio analítico transversal aplicado a una muestra calculada de 3534 padres/tutores (92,6% de mujeres; 7,4% varones; edad= 34 años [29-37]) de escolares de 3 a 8 años de 19 colegios públicos de la provincia del Callao (Perú). Un cuestionario presencial/virtual de 31 ítems se distribuyó en: 5 de comportamientos, 5 de actitudes, 10 de conocimientos y 11 demográficas, recolectados en 2022. Modelos de Poisson lineales bivariados y multivariados se utilizaron con un P<0,05. Resultados: Los modelos bivariados sobre CDI mostraron mayores probabilidades de actitudes y conocimientos altos a mayor nivel educativo (RP: 6,68 a 105,47) y frecuencia de cepillado (RP: 23,31 a 106,57) (P≤0,02). Los modelos ajustados multivariados sobre CDI mostraron una mayor probabilidad (P≤0,01) de comportamientos buenos en padres de educación superior (RP: 1,54; IC95%: 1,41-1,70), actitudes positivas en educación técnica (RP: 43,8; IC95%: 6,03-318,18) y educación superior (RP: 135,29; IC95%: 136-152), cepillados diarios de 2 veces (RP: 104,45; IC95%: 14,20-768,27) y ≥3 veces (RP: 65,76; IC95%: 9,00-480,47); y conocimientos altos en educación superior (RP: 4485,06; IC95%: 512,98-39213,58), cepillados diarios de 2 veces (RP: 1611,12; IC95%: 194,38-13354,04) y ≥3 veces (RP: 183,08; IC95%: 24,95-1343,19). Conclusiones: Los niños mostraron comportamientos buenos sobre CDI relacionados a mayores niveles educativos paternos. Los padres tuvieron actitudes negativas y conocimientos bajos sobre CDI asociados a una menor educación e infrecuencia del cepillado.
Molecular Mechanism of hsa-circKLK3-25 in Regulating Prostate Cancer Progression via the JNK/ERK Signal Transduction Pathway
Authors: Zheng Wei , Yang kebing , Zhang Pu , yao Cenchao , Wang Zhida , Zhang Dahong
Published: December 2024

Background: PCa (representing prostate cancer) ranks among the most prevalent malignancies in males. This disease begins insidiously. Most patients have reached an advanced stage when being diagnosed for the first time. Moreover, this condition is prone to distant metastasis, leading to an unfavorable prognosis. Therefore, the paramount thing is to find the biomarkers underlying this disease to facilitate the early diagnosis of PCa.
Methodology: A high-throughput sequencing method was taken to identify the circular RNA, hsa-circKLK3-25, in PCa tissues. Next, the expression and stability of hsa-circKLK3-25 were assessed by qRT-PCR and Actinomycin D testing. Followed by, PCa cells were transfected with hsa-circKLK3-25 or sh-hsa-circKLK3-25 and tested through CCK-8, Edu, scratch healing and transwell experiments to make clear the influences of heightening or silencing hsa-circKLK3-25 on the aggressive evolution of PCa cells. Afterward, western blot experiments were carried out to determine the expressions of proteins associated with the JNK/ERK signal transduction pathway and judge whether hsa-circKLK3-25 effected by virtue of the JNK/ERK pathway. Finally, subcutaneous xenograft tumor models were formed in nuke mice to uncover the interference of hsa-circKLK3-25 with the evolution of PCa cells in vivo.
Results: The high-throughput sequencing results confirmed the presence of hsa-circKLK3-25 in PCa tissues. In PCa cells, hsa-circKLK3-25 was at a notably and stably heightened level. Excessive hsa-circKLK3-25 propelled PCa cells to multiply, penetrate, and migrate; conversely, silenced hsa-circKLK3-25 impaired the aggressive evolution of such cells. Overexpression of hsa-circKLK3-25 led to an upregulation in the expressions of proteins associated with the JNK/ERK pathway, while silencing hsa-circKLK3-25 lead to the opposite trend. The cancer-promoting effect of excessive hsa-circKLK3-25 was retarded following the administration of the inhibitors for this pathway. Besides, in vivo experiments demonstrated that silencing hsa-circKLK3-25 leveled down the expressions of proteins associated with the said pathway and could suppress the expansion of tumors.
Conclusion: hsa-circKLK3-25 is at a notably over-high level in PCa cells and promotes the aggressive evolution of PCa in vitro/vivo through the JNK/ERK signal transduction pathway.
Nanosecond-level time-domain coding metasurface for radar signal generation
Authors: Chu Hui , Qian Boyang , Zhao Hanjun , Zhu Xiaohua , Li Peng , Guo Yong-Xin
Published: December 2024

The time-domain coding metasurface (TDCM) offers a rapid and efficient approach to manipulate frequency spectra of electromagnetic waves within their transmission channels. To date, not only finite-order harmonics can be generated and coded in a discrete manner, the method of frequency modulation for continuous temporal waves is also investigated. However, due to the achievable speed of phase tuning, the modulation bandwidth and applicable scope of the current methods are still limited with respect to the requirement of practical systems. Here, we provide theoretical evaluations of the quality of generated frequency-modulated continuous wave (FMCW) radar signals with respect to the phase tuning speed, as well as a time-coding metasurface that can achieve a phase tuning speed smaller than 20 ns to support the generation of high quality FMCW signals with a bandwidth larger than 10 MHz. Different from varactors used in conventional approaches, the phase tuning of the proposed TDCM is based on the reconfiguration of a PIN-diode array. With this measure, the phase transition time between adjacent phase states can be reduced to a nano-second level, which is crucial for ultrahigh-speed coding. Furthermore, this design approach is also convenient to be rolled out to X- and even higher frequency bands, which overcomes the frequency spectra constraint when varactors are used. To validate its effectiveness, we have built a C-band radar prototype in which the metasurface operates as a transmitter to measure the range and speed of a flying drone.
Double chambered right ventricle in adulthood: A case report and review of the literature
Authors: Khazzar Taha El , Benjaout Kaoutar , Madani Mouhcine
Published: December 2024

Background: The double chambered right ventricle (DCRV) is a rare congenital malformation, in which a dislocated hypertrophic muscular band causes the subdivision of the right ventricle in two chambers, proximal or high-pressure chamber and distal or low-pressure chamber. It is recommended to use echocardiography and cardiac catheterization for diagnosis. This case report seeks to provide additional data for comparison with existing literature, thereby contributing to a more comprehensive understanding of this condition.
Case presentation: We are reporting the case of DCRV in an adult female, who was evaluated for shortness of breath. Diagnosis was confirmed by transthoracic echocardiography, with a maximal gradient of 97mmHg. The patient underwent a successful surgery.
Conclusions: Most cases of classic DCRV are diagnosed in infant, and are associated with ventricular septal defect (VSD). Surgery is the most effective treatment by removing the muscular band.
Aftershock characteristics of the 2024 Noto Peninsula earthquake (Mw7.5) through centroid moment tensor analysis using a 3-D seismic velocity structure model
Authors: Yamaya Lina , Kubo Hisahiko , Shiomi Katsuhiko , Kimura Takeshi
Published: December 2024

A crustal earthquake of the 2024 Noto Peninsula earthquake with a moment magnitude of 7.5 occurred on January 1, 2024, and was followed by many aftershocks distributed in both onshore and offshore regions. The mainshock was characterized as a reverse fault with NW-SE pressure- (P-) axes. We conducted centroid moment tensor (CMT) inversions for the aftershocks using a three-dimensional seismic velocity structure model to capture the detailed stress state and fault geometries around the source region. CMT solutions were obtained for 221 aftershocks with moment magnitudes of 3.2–6.1 at depths shallower than 15 km. Our approach showed substantial improvement in depth determination of CMT solutions, compared to that of the hypocenter determination using P- and S-wave arrival times, even for the early aftershock period when no seismic station was available close to the earthquake source region. Our CMT solutions were characterized as follows: (1) reverse faults with an NW-SE P-axis, which is consistent with that of the mainshock mechanism; (2) strike-slip faults in predominantly shallower regions compared to type 1; (3) reverse faults with ENE-WSW P-axes, possibly activated following the mainshock in the shallow southwestern aftershock region; and (4) earthquakes predominantly featuring normal and strike-slip faults localizing at a depth of approximately 5 km around the dip transition zone in geologically constructed fault models. Additionally, we conducted the same CMT inversion for earthquakes that occurred between 2007 and 2023 to further understand the effect of the mainshock on the aftershock dynamics. We confirmed that CMT solutions of types 3 and 4 appeared as new earthquake categories after the mainshock, suggesting that the mainshock could have triggered them. Our results provide a deeper understanding of complex stress fields and fault geometries in the source region.
Cardiac Echocardiographic Analysis with Multi-Scale Effective Fusion Module: A Novel Stroke Prediction Approach
Authors: xie Jiachun , Tan Dianhuan , Zheng Tingting , Wei Liya
Published: December 2024

Purpose: To develop a stroke risk prediction model by integrating echocardiographic images (long-axis, short-axis, four-chamber views) and clinical indicators using a novel multi-scale effective fusion (MSEF) module.
Methods: A total of 712 patients with 10,992 images and 27 clinical indicators were included. The MSEF module enhances multi-scale feature fusion by combining deep semantic and shallow high-resolution features. It consists of four components: Global Feature Fusion (GFF), Multi-Feature Reconstruction (MFR), Channel Attention, and Positional Attention, effectively improving small-target feature representation. The fused features and clinical indicators were used to train the stroke prediction model.
Results: The proposed MSEF-based model achieved the highest performance, with an Accuracy of 76.8% and F1 Score of 64.7% on the test set. Ablation studies confirmed the importance of Channel Attention and Position Attention in enhancing feature representation. When integrating echocardiographic features with clinical indicators, the model achieved an Accuracy of 80.2% and F1 Score of 72.1% on the test set.
Conclusion: The proposed MSEF-based approach effectively integrates imaging and clinical data, improving stroke risk prediction accuracy and offering a promising tool for clinical decision-making.
Deep Learning methods for reducing metal artifact in Non-Contrast Brain CT Images with Neurovascular Coils
Authors: Lu Mingjun , Guo Yi , Li Yuxin , Yan Xinran , Zhu Jianbin , Qu Yaoming , Ma Andong , Yu Zhijian , Huang Chengyan , Yu Zhujuan , Ma Jianhua , Wen Zhibo
Published: December 2024

Background
Metal artifacts from neurovascular coil effect image quality in computed tomography (CT), we aim to use two deep learning (DL) methods -- convolutional neural network based metal artifact reduction (CNN-MAR)and dual domain network (DuDoNet) to reduce metal artifacts, and compare these methods with two traditional metal artifact reduction (MAR) methods -- Metal Artifact Reduction for Orthopedic Implants (O-MAR) and sinogram completion fused physical model (SCFPM).
Methods
40 consecutive patients with Neurovascular Coil who underwent brain CT between July 2021 to December 2022 were included. Above methods were compared quantitatively by calculating the Hounsfield Units (HU), standard deviation (SD), contrast to noise ratio (CNR) and artifact index (AI). Two radiologists who were blinded to these MAR methods assessed qualitatively the Neurovascular Coil datas for metal artifact and diagnose confidence, resolution, new artifacts and the contours of different soft tissue interfaces utilizing a five-point scale. Friedman M test was used for quantitative and qualitative evaluation.
Results
The HU, SD and AI were significantly lower in DuDoNet images when compared with Filtered back projection (FBP), O-MAR, CNN-MAR images (p＜0.001), although no statistically significant when compared with SCFPM images. The CNR was not significantly different among FBP, O-MAR, SCFPM, CNN-MAR and DuDoNet methods (p=0.596). For artifact and diagnosis confidence score, SCFPM method was significantly higher than FBP, O-MAR, DuDoNet methods (p＜0.001, p=0.010, p=0.015, respectively) although no statistically significant when compared with CNN-MAR method. The resolution and contours of different soft tissue interfaces score were lower in DuDoNet images when compared with other images (all p<0.001). The SCFPM method introduces the least new artifacts among these MAR methods. In addition, using tradional or deep learning methods, we found new lesion obscured by metal artifacts in two cases.
Conclusions
For Quantitative Image Analysis, DuDoNet achieved the best image quality. For qualitative Image Analysis SCFPM achieved the best image quality. DuDonet method can cause over-smoothing and blurring effect. SCFPM method introduce least new artifact.
Analysis of Risk Factors for Hypoxemia in PACU for Patients Undergoing Thoracoscopic Lung Cancer Resection Based on Logistic Regression Model
Authors: Luo Xi , Ying Yanmei , Yin Lu , Chang Pan
Published: December 2024

Objective
This study aims to analyze the prevalence and influencing factors of hypoxemia in patients following thoracoscopic lung surgery in the post-anesthetic care unit (PACU).
Methods
We conducted a prospective analysis involving 398 patients who underwent elective thoracoscopic lung surgery in West China Hospital, Sichuan University, from April to July 2024. Patients were classified into hypoxemia and non-hypoxemia groups based on the presence of hypoxemia in the PACU. We compared clinical data between the two groups to identify factors influencing hypoxemia. Variables with statistical significance (P < 0.05) in univariate analysis were included in logistic regression to identify independent risk factors for hypoxemia.
Results
Among the 398 patients studied, 149 (37.4%) experienced hypoxemia. Univariate analysis indicated significant differences in age, BMI, height, ASA classification, hypertension, diabetes, lung function test with Forced Expiratory Volume at 1 Second / Forced Vital Capacity (FEV1/FVC), and awakening time between the groups. Logistic regression revealed that age, BMI, ASA classification, hypertension, diabetes, and awakening time were independent risk factors for hypoxemia during anesthesia recovery, while FEV1/FVC was a protective factor.
Conclusion
Effective management of elderly patients and those with high BMI, ASA classification, and attention to preoperative hypertension and diabetes may help reduce hypoxemia incidence in the PACU following thoracoscopic lung surgery. Emphasizing preoperative lung function assessment and enhanced monitoring can facilitate timely interventions, improving post-anesthesia recovery and patient outcomes.
Lipidomics reveals biomarkers of the efficacy of first-line ICIs therapy combined with chemotherapy in NSCLC
Authors: Yu Jia , Xu Hanyan , Xiong Fen , Meng Lingfei , Liu Xiling , Gao Hongchang , Li Yuping
Published: December 2024

Immune checkpoint inhibitors (ICIs) plus chemotherapy have become the first-line standard therapy for patients with the gene-negative advanced non-small cell lung cancer (NSCLC). There is a lack of reliable biomarkers to predict treatment outcomes. This study aimed to identify relevant lipids that can predict treatment outcomes in NSCLC patients receiving first-line ICIs plus chemotherapy via lipidomics. Plasma samples were collected from Forty-nine patients with stage IIIB/IV NSCLC before the start of treatment, and patients were categorized into a long-term benefit group (progression-free survival [PFS] < 12 months) and a short-term benefit group (PFS ≥ 12 months). We identified13 lipids (FA-18:0, FA-18:2, FA-15:0, PS-36:3, PE-P-34:2, LPC-18:0, FA-20:3, LPI-18:1, LPC-14:0, PI-40:4, PE-O-34:2, FA-20:4, FAHFA-37:5) to predict the therapeutic efficacy of ICIs plus chemotherapy with high specificity and sensitivity We further investigated the role of linoleic acid (LA) (FA-18:2), a pivotal lipid involved in immune regulation, in animal and cellular models and explored its potential in enhancing NSCLC immunotherapy. Our results showed that LA can assist PD-1 inhibitors in exerting immune anti-tumor effects, slowing down tumor growth in mouse models, and suppressing the expression of PD-L1 proteins in both Lewis cells and tumor tissues. This study found that lipids were important biomarkers for predicting the efficacy of first-line ICIs plus chemotherapy in NSCLC patients, of which LA is an important adjuvant therapy for immune response.
Assessing the Impact of Triglyceride-Glucose-Body Mass Index (TyG-BMI) on Overall Survival in Autoimmune Hepatitis
Authors: Zhang Lili , Fan Ni , Huang Yaqin , Lin Huiying , Zhou Min , Yin Tingting , Yang Wenting , Zheng Mengyao , Lei Hongtao , Yang Jinhui
Published: December 2024

Background
Autoimmune hepatitis (AIH) is a chronic progressive liver disease. Research indicates a high prevalence of insulin resistance among patients with chronic liver diseases. The triglyceride glucose-body mass index (TyG-BMI index) is significantly correlated with insulin resistance and serves as a reliable surrogate marker for insulin resistance assessment. This study aimed to investigate the relationship between TyG-BMI index and prognosis in patients with AIH.
Methods
A total of 193 patients diagnosed with AIH at the Second Affiliated Hospital of Kunming Medical University between January 1, 2014, and March 15, 2024, were stratified into high and low groups based on TyG-BMI. Demographic characteristics, clinical features, laboratory parameters, and prognosis were retrospectively collected. Cox regression analysis was performed to investigate the relationship between TyG-BMI and prognosis in AIH patients.
Results
This study included a cohort of 193 AIH patients with a median age of 54.55 years and a majority of 158 females. The median follow-up period was 27 months, during which 28 (14.51%) patients died. Based on restricted cubic spline plots, patients were divided into high-score group (n = 43, 22.28%) and low-score group (n = 150, 77.72%). Significant differences were observed between the two groups in BMI, fatty liver, albumin, triglycerides, fasting glucose, prothrombin time, activated partial thromboplastin time, and international normalized ratio (all P < 0.05). Cox regression analysis identified TyG-BMI as an independent risk factor for mortality in AIH patients (HR = 3.230, 95%CI: 1.446–7.213, P = 0.004). Kaplan-Meier curves demonstrated significantly longer survival time in the low-score group compared to the high-score group (P = 0.004).
Conclusions
TyG-BMI index is an significant prognostic indicator for AIH patients, offering valuable insights for risk stratification and individualized treatment in these patients.
Uniform Regularization and Constrative Learning to Mitigate the Long-Tail Effect of Recommendation Algorithms
Authors: Xie Xin , Zheng Hanxin , Liu Kexuan , Zheng Xingpeng , Cheng Xuebo , Wan Tao
Published: December 2024

In recommender systems, Graph Collaborative Filtering (GCF) is widely used for its ability to effectively model the interaction between users and items. However, in practical scenarios, GCF faces a significant problem: the representation of popular items tends to be over-concentrated, while cold items are marginalized, leading to recommendation results biased towards popular items and making it difficult to address the issue of long-tail distribution. To alleviate data sparsity, existing GCF methods typically incorporate Contrastive Learning (CL) to assist in updating node representations. However, inappropriate CL methods can introduce extra noise. For this reason, this paper proposes an Enhanced Contrastive Learning-based Graph Collaborative Filtering (ECL-GCF). The model improves the traditional GCF approach by: 1. capturing explicit interaction information between users and items by exploiting structural neighborhood contrastive learning; 2. introducing semantic neighborhood contrastive learning to construct potential similarity relationships by capturing implicit semantic information of users and items, thereby providing more meaningful representations for cold items; and 3. optimizing the embedding representation by regularizing chi-square and homogeneous embedding representations, ensuring that the embeddings are both close to positive sample pairs and uniformly distributed in the space, thus preventing the marginalization of cold items. Experimental results indicate that the model improves recommendation performance by approximately 5% on the Yelp2018 and iFashion datasets, and especially performs well on cold item recommendation.
Evaluation of glypican-1 in extracellular vesicles from serum and pancreatic tissue as a biomarker for pancreatic cancer
Authors: Ren Rongrong , Cheng Lu , Zhang Huan , Zeng Linggong , Shan Lvhu , Wang Qiang
Published: December 2024

Purpose Pancreatic cancer (PC) is a lethal disease, and early detection is crucial for reducing mortality. Blood exosome glypican-1 (GPC1) has been reported as a powerful diagnostic and screening tool for detecting pancreatic ductal adenocarcinomas (PDAC) even at early stages; however, results from subsequent studies on extracellular vesicles (EVs) or exosome GPC1 have been conflicting. We hypothesized that if EVs GPC1 serves as a biomarker for PC, it may be enriched in pancreatic tumor tissues compared to adjacent non-tumor tissues.
Methods Dissociated tumor tissues and paratumor tissues were treated with collagenase D and DNase I to release EVs from the extracellular matrix. Both serum-derived EVs and tissue-derived EVs were isolated by ultracentrifugation, and EVs GPC1 levels were analyzed by flow cytometry. The expression of EV GPC1 was compared between patients and controls, pre- and post-surgery, and between tumor tissues and adjacent non-tumor tissues.
Results EVs were successfully isolated from pancreatic tissue. Serum EVs GPC1 levels showed no significant difference between PC patients and healthy controls, nor between pre-operative and post-operative samples. EVs GPC1 derived from tumor tissue showed no significant difference compared to matched paratumor tissue.
Conclusion Although EVs GPC1 was found not to be a reliable biomarker for pancreatic cancer, we successfully isolated EVs from pancreatic tissue. Further research is needed to explore the potential of tissue-derived EVs as sources of screening biomarkers and to standardize methods for isolating and detecting EVs biomarkers.
Affordable Clean Energy Through Optimized Hybrid Microgrid Design in Yemen
Authors: Albasheri Mohammed Abdulelah , Mujammal Mujammal Ahmed Hasan , Bouchhida Ouahid , Soufi Youcef , Cherifi Abderrezzak
Published: December 2024

The global pursuit of sustainable development increasingly emphasizes the adoption of renewable energy sources to deliver affordable, clean energy while addressing climate change challenges. This study proposes a comprehensive, three-phase framework for designing a microgrid-based hybrid renewable energy system tailored for a remote area in Yemen. The framework encompasses initial evaluation, design optimization, results assessment, and power quality analysis. The phases conducted using HOMER Pro® software, evaluate and compare six hybrid system configurations based on life-cycle costs, renewable energy fraction, unmet load, and system reliability to identify the optimal design for the target community. The findings reveal that the optimal system configuration consists of photovoltaic panels, battery energy storage, and a power converter, achieving the lowest net present cost of $22,647.71 and a cost of energy (COE) of $0.084912 per kWh. This design exhibits an almost negligible unmet load of 0.017463%, a renewable energy fraction of 100%, and the lowest associated carbon emissions among all configurations. These results underscore the proposed framework's potential for achieving reliable, efficient, and sustainable energy solutions in remote communities.
Role of Hericium Erinaceus as a Probiotic Stimulant
Authors: R R.Vidhyalakshmi , S Ms Ramya , N Ms Kamatchi
Published: December 2024

Lion's Mane mushroom (Hericium erinaceus) is gaining scientific interest for its potential health benefits, particularly its bioactive compounds and probiotic-stimulatory properties. This study investigates the chemical composition and probiotic-enhancing effects of various extracts prepared from Lion's Mane mushroom, including aqueous, ethanolic, and mixed solvents. Gas Chromatography-Mass Spectrometry (GC-MS) analysis identified 15 bioactive compounds across the extracts. Notably, the aqueous extract demonstrated the highest capacity to stimulate the growth of Lactobacillus strains, highlighting its potential as a natural enhancer for probiotic formulations. The study has unveiled a treasure trove of properties with significant implications for future healthcare formulations. Additionally, the mushroom extracts displayed significant anti-inflammatory properties, as demonstrated by an albumin denaturation assay, with the highest percentage inhibition recorded at 63.09%. This characteristic could offer relief to chapped nipples and also a wide range of inflammatory conditions, hinting at its potential for future pharmaceutical applications. Docking studies on linoleic acid and cathepsin D protein revealed promising therapeutic interactions, supported by a favourable dock score of -6.06 and the observation of a hydrogen bond between the ligand and protein. This research underscores the diverse potential of Lion's Mane mushroom, spanning from probiotic growth stimulation to anti-inflammatory, thereby contributing valuable insights to the understanding of this remarkable fungus used in traditional foods in many countries.
Simulation of hydrology in ungauged watersheds
Authors: Askari Kaveh Ostad Ali
Published: December 2024

In order to design and construct hydraulic structures, such as dams, there is a need to determine the amount of river discharge. In ungauged watersheds, it is necessary to calculate their inflows through hydrological simulation. SWAT is one of the numerical models that is widely used for such purposes. For calculating the basin discharge, the model requires meteorological data, such as precipitation, temperature, wind speed, solar radiation and relative humidity, as well as physiographic data related to the basin surface, such as curve number and roughness coefficient.
In this research, the Kasillian watershed in Iran has been used for hydrological simulation based on the SWAT model and the river discharge has been verified using data from Valikben hydrometric station, located at the basin outlet. Furthermore, the impact of each input data on the calculation of water flow has also been examined. Specifically, with an increase of 13.43 percent in the curve number and 0.15 in the overland roughness coefficient of the basin the simulated value of the average monthly discharge 2.52 and 0.01 percent closer to the observed average discharge value. Using all the meteorological parameters, the average mean discharge of the period increased with an error of 14.32 percent.
Pemanfaatan Quiziz sebagai Media Pembelajaran Bahasa Indonesia di SMK Ulumul Fata
Authors: Hamdan Fauzul
Published: December 2024

It is important for a teacher to be able to utilize technology in learning, especially in today's digital era. One of the uses of technology in education is through the application Quizizz. Quizizz is a game-based application that can be utilized as a medium for learning the Indonesian language. Quizizz can capture students' attention in receiving Indonesian language learning materials at SMK Ulumul Fata. This article aims to describe the utilization of Quizizz as a learning medium for the Indonesian language at SMK Ulumul Fata. Through a qualitative approach, data collection was carried out by observing media usage, interviewing teachers, and reviewing relevant reference sources. The results of the research show that the use of Quizizz at SMK Ulumul Fata has a positive impact on student engagement in learning, enhances student motivation in understanding the material, and fosters positive perceptions among students and teachers regarding Indonesian language learning.
Penilaian Buku Teks Bahasa Indonesia Materi Teks Eksposisi Kelas X Kurikulum Merdeka Terbitan Erlangga
Authors: Jauhari Falah
Published: December 2024

With the proliferation of textbooks in circulation, both from government and especially private publishers, many inadequacies in these texts have been discovered, both in terms of language, content and presentation. This of course has an impact on students and educators in the teaching and learning process. Assessment and analysis of textbooks is an urgency in combing through inappropriate textbooks. The object studied is the companion textbook Kombi: Class X Indonesian Competency, exposition text material. textbook. The research method used is descriptive qualitative. Assessment and analysis are based on indicators for each aspect with a score of 1-4 which is converted into a score of 1-100.  The conclusion of the analysis results was that overall the six aspects assessed were, (1) synchronization between learning objectives flow (ATP), learning achievements (CP), materials, activities and learning assessments with a score of 91.7, (2) the truth of the material is in accordance with scientific principles with a score of 100, (3) strengthening the profile of pancasila with a score of 100, (4) presentation techniques with a score of 87.5, (5) linguistic aspects with a score of 100, (6) eligibility legality and norms are assessed based on surveys.  Overall, it can be concluded that the textbooks analyzed in this research are suitable for use in the learning process. However, there needs to be improvements in the aspects of synchronization of ATP and CP, legal eligibility and norms, as well as presentation techniques so that the quality of the accompanying textbooks is even better.
ENVIRONMENTAL EFFECTS OF PORT ACTIVITIES IN COTONOU, BENIN (WEST AFRICA)
Authors:   Multidisciplinary Doctoral School, Space, Cultures, and Development (EDP-ECD)., Sylvain Akiyo ,   Department of Geography and Land Planning (DGAT)., Ibouraima Yabi ,   Department of Geography and Land Planning (DGAT).,   Pierre PAGNEY Laboratory, Climate, Water, Ecosystems, and Development (LACEEDE)., Mehinto Flore Dovonou ,   Pierre PAGNEY Laboratory, Climate, Water, Ecosystems, and Development (LACEEDE).
Published: December 2024

The environmental effects of port activities on the biological environment are one of the growing concerns due to the importance of ports for maritime trade and the environmental consequences they generate. Activities related to maritime transport, waste management, and dredging can disrupt marine ecosystems, introduce invasive species, and pollute the waters. The objective of this research is to analyze the environmental effects of port activities in Cotonou, Benin. The data comes from several sources, including field studies, research reports, and marine pollution data. The information includes water quality measurements, observations on marine biodiversity, and data on waste management practices in ports. The methods of analysis include case studies, statistical analyses of pollution data, and ecological impact assessments. Comparisons are made between port areas and surrounding marine areas to evaluate the effects of port activities. Risk assessment models are also used to understand the implications of the bioaccumulation of toxic substances in the food chain. The results of the research show that maritime transport is a major vector for the introduction of exotic species, which can disrupt local ecosystems. The discharge of hydrocarbons and solid waste has harmful effects on the health of aquatic organisms and raises concerns about the bioaccumulation of toxins. Dredging operations disturb marine habitats, burying organisms and introducing pollutants into the environment. Plastic waste poses a serious threat to marine life, leading to health issues for species and affecting the integrity of coastal ecosystems. The main hazards associated with port activities include fire, workplace and traffic accidents, water pollution, explosions, drownings, and contamination of the natural environment by toxic substances and accidental discharges. Discharges from ships at sea constitute one of the major sources of water pollution caused by maritime transport. Several types are observed. Cargo losses frequently occur during loading or unloading due to handling errors or faulty equipment. This can involve any type of goods.
Resenha de 'Consciência e mecânica quântica'
Authors: Arenhart Jonas Rafael Becker
Published: December 2024

Nesta resenha, apresentamos os tópicos centrais discutidos no livro 'Consciência e mecânica quântica', de Raoni W. Arroyo. Discutimos criticamente alguns dos argumentos centrais do livro, focando em particular na tentativa do autor de argumentar contra abordagens mpisticas da mecãnica quântica, e na distinção mais refinada entre realismo científico e naturalismo.
GIRA CÊNICA
Authors: Idelbrando Curado GUSTAVO
Published: December 2024

O artigo revelou o processo pedagógico da Cia Teatro Documentário, em metodologia de pesquisação, a partir da encenação construída numa encruzilhada, no centro de São Paulo, cuja pedagogia pautada em Exú foi o cerne. E, de como os artistas documentaristas se posicionaram esteticamente contra o projeto de neocolonização presente no capitalismo enquanto invocam, por meio de uma gira cênica a presença de outras versões da vida de um bandido chamado Mineirinho, eternizado em um documento de Clarice Lispector no século XX. Se conclui pelo conceito de inacabamento presente em Exú, e ao mesmo tempo, na prática teatral contemporânea, a não separação dos modos de produção e das práticas artísticas.
TEATROS FEMINISTAS
Authors: Lyra Luciana de Fátima Rocha Pereira de
Published: December 2024

Estes escritos têm por escopo situar o contexto plural que configura o teatro feminista contemporaneamente, assim como apresentar um breve cenário das estratégias de alguns grupos cênico-feministas latinos, no que tange às agendas políticas e seus modos-rituais de criação e linguagem, no intento da gestão da vida e da luta para reparação dos privilégios de gênero alocados nos modelos hegemônicos de masculinidades.
TRANSMISSÃO DE SABERES NO BARRACÃO
Authors: Sousa Sá Wiliam Euller , Soares de VAsconcelos Gisele
Published: December 2024

Este artigo descreve e reflete acerca dos atravessamentos de como a manifestação do bumba meu boi nos fez chegar ao barracão do boi da Floresta e das influências dessa prática na produção artístico-pedagógica. Refletindo sobre esses espaços de iniciativas socioeducativas o artigo discute três aspectos que envolvem o boi da Floresta, localizado no bairro da Liberdade, São Luís, Maranhão: a) as formas de transmissão de saberes no barracão; b) o papel do barracão para a comunidade e c) o atravessamento do boi nas criações artísticas. Este estudo fez uso da pesquisa de campo, realizando coleta de dados através de entrevistas orais na perspectiva de uma abordagem qualitativa, considerando a necessidade de uma relação subjetiva e horizontal com o espaço e o objeto da pesquisa. Visando o surgimento de novos materiais durante a investigação, apresenta reflexões sobre saberes populares que resultam em diferentes formas do fazer artístico-pedagógico.
RAÍZES
Authors: BEZERRA BOAES DANIARA , SOARES DE VASCONCELOS GISELE
Published: December 2024

RESUMO
Este artigo busca analisar o processo de criação do vídeo performance Raízes realizado na disciplina de Práticas Espetaculares da Cultura Brasileira, do Curso de Licenciatura em Teatro, UFMA. O trabalho tem como objetivo refletir como as experiências pessoais e acadêmicas possibilitaram o processo criativo do vídeo performance à luz da corporeidade negra presente no Tambor de Crioula. Ao analisar e identificar os elementos cênico-sagrados dessa manifestação que se fizeram presentes na pesquisa-criação e que influenciaram na composição da obra, este estudo aponta as confluências entre o Tambor de Crioula e a Performance Negra.
Palavras-Chave: Tambor de Crioula; Corporeidade Negra; Processo de Criação; Diáspora Negra; Redefinição Identitária
Human Potential of the Constitutions of the Russian Federation and the People’s Republic of China
Authors: Chebotarev G.
Published: December 2024

The article describes the issues of preserving and strengthening traditional cultural, spiritual and moral values implemented in the constitutions of BRICS countries on the cases of Russia and China. Russian Constitution with its amendments of 2020 aims at constitutionalizing cultural and moral values, implementing them to the current legislation, and creating economic, political and social conditions for their enforcement. Also, the article examines the activities of non-governmental organizations in the People’s Republic of China with the focus on their contribution to preservation and amplification of cultural and moral values enshrined in the Constitution of China.
Economia do mar capixaba: um estudo do setor de petróleo e gás natural offshore no estado do Espírito Santo
Authors: Raasch Pagel Uonis , Fiorotti Campos Adriana , Elias Montibeler Everlam
Published: December 2024

O Espírito Santo é um dos estados brasileiros mais importantes na produção de petróleo e gás natural, com destaque, principalmente, na produção offshore. Tem o maior complexo portuário da América Latina em número de portos, foi o primeiro estado a produzir na camada pré-sal, tem forte participação no comércio exterior do país e há alguns anos apresenta crescimentos superiores à média nacional, além de outras características e vocações naturais que o destacam nos setores industrial, agropecuário e de serviços. O setor de petróleo e gás natural offshore é um dos principais responsáveis pelo Produto Interno Bruto (PIB) capixaba, gerando empregos e receitas significativas através de royalties e participações especiais. Neste contexto, o presente trabalho, de natureza qualitativa, elaborado a partir de múltiplas fontes de informação, com ênfase na utilização de dados secundários provenientes de livros, artigos, teses, da Agência de Regulação de Serviços Públicos do Estado do Espírito Santo (ARSP), do Instituto Jones dos Santos Neves (IJSN) e outros, tem como objetivo realizar um diagnóstico econômico do setor de petróleo e gás natural offshore no Espírito Santo e sua importância para a economia do mar. Os resultados evidenciam uma participação majoritária de grandes empresas na exploração do petróleo e gás natural offshore no estado, um cenário crescente da produtividade para os próximos anos e um direcionamento de esforços públicos na formulação de políticas econômicas e estratégias de desenvolvimento do setor, aliadas à sustentabilidade ambiental. A exploração de novas áreas em águas profundas e ultra profundas se constitui em uma das perspectivas para aumentar a produção no futuro.
Uma comparação entre tecnologias de geração de energia solar fotovoltaica e heliotérmica
Authors: Farias dos Santos Thiago , Dal Forno Ana Julia
Published: December 2024

Este artigo teve como objetivo comparar as tecnologias de geração de energia elétrica solar fotovoltaica (PV) e solar térmica concentrada (CSP), como critério preliminar de escolha deste tipo de fonte de geração de energia elétrica renovável. Foram apresentadas as particularidades, características técnicas e econômicas, formas de funcionamento e demais características de cada uma. Como forma de determinar em quais situações os sistemas PV e CSP apresentam maior viabilidade de implantação, foram realizadas análises da geração de eletricidade em cenários distintos, tanto atuais quanto futuros, fazendo-se uso da métrica do custo nivelado de eletricidade (LCOE), do fator de capacidade, da área necessária para instalação dentre outros. Os resultados obtidos demonstraram que as vantagens da geração PV são: o custo menor do LCOE, geração de energia com radiação direta e difusa, modularidade e simplicidade de instalação e geração de energia após sua instalação. Por outro lado, a tecnologia CSP possui como principais diferenciais, um maior fator de capacidade e consequente armazenamento de energia, a possibilidade de operação de forma híbrida. Assim, foi observado que, a escolha do tipo de tecnologia de geração de energia elétrica solar dependerá de diversos fatores além daqueles obtidos mediante a métrica do custo nivelado de eletricidade.